Method and device for manufacturing a connection device for a timber structure, equipment, medium, product

Abstract

This invention belongs to the technical field of building connectors, and relates to a method, device, equipment, medium, and product for manufacturing a connection device for wooden structures. The connection device includes a first connecting part, a second connecting part, and an intermediate damping part. The manufacturing method includes: obtaining the target seismic resistance conditions of the connection device; determining the processing attributes of each damping component according to the target seismic resistance conditions; obtaining the target processing parameters of each damping component; producing the corresponding damping component according to the target processing parameters of each damping component; fixing the first damping component, the second damping component, and the third damping component to two connecting plates; and assembling the two connecting plates to the first connecting part and the second connecting part respectively to form the connection device. This solution, by setting up multiple layers of damping components and using an optimization algorithm to determine the optimal processing parameters, and producing damping components according to the determined processing parameters to manufacture the connection device, has advantages such as improving seismic performance and enhancing post-earthquake recovery capability.

Description

Technical Field

[0001] This invention relates to the technical field of building connectors, and in particular to a method for manufacturing a connecting device for a wooden structure and the connecting device itself. Background Technology

[0002] Timber structures occupy a significant proportion of modern architecture due to their low-carbon, environmentally friendly nature and superior seismic performance. However, the seismic performance of timber connection joints is a core bottleneck restricting the safety of timber structures. Traditional timber connection devices have the following defects:

[0003] First, there are limitations in seismic performance. Specifically, existing timber structures generally use metal connectors for connection, with rigid fixation between timber components. During an earthquake, energy is directly transferred to the timber itself, easily causing damage. Even when damping structures are used in conjunction with metal connectors, the two can only work independently and cannot coordinate. The high rigidity of the metal connectors makes them prone to irreversible deformation, while the lower rigidity of the damping structure makes it prone to displacement.

[0004] Secondly, there are technical challenges in the manufacturing process. Specifically, the parameters of the connection device are generally set based on the experience of engineers. If the goal is to improve seismic performance, the stiffness of the connection device will be increased; if the goal is to improve economy, lower-cost materials will be chosen. This makes it impossible to achieve the optimal solution that balances safety and economy.

[0005] Therefore, existing wooden structure connection devices suffer from poor seismic performance and manufacturing processes that cannot meet the dual requirements of safety and economy. Summary of the Invention

[0006] The purpose of this invention is to solve the problems of poor seismic performance and manufacturing processes that cannot meet the dual requirements of safety and economy in existing wooden structure connection devices.

[0007] To address the aforementioned problems, embodiments of the present invention disclose a method for manufacturing a connecting device for a wooden structure. The connecting device for the wooden structure includes a first connecting portion, a second connecting portion, and an intermediate damping portion disposed between the first connecting portion and the second connecting portion. The intermediate damping portion includes two connecting plates disposed opposite to each other, a first damping component, a second damping component, and a third damping component. The first damping component, the second damping component, and the third damping component are all fixedly disposed between the two connecting plates. The first damping component includes a first damping plate and a second damping plate stacked together. The second damping component includes an energy-absorbing component. The third damping component includes a deformation recovery component.

[0008] Furthermore, the manufacturing method includes: obtaining the target seismic resistance conditions of the connecting device, and determining the processing attributes of each damping component according to the target seismic resistance conditions; using a first optimization algorithm to perform initial optimization processing on the processing parameters corresponding to the processing attributes of each damping component to obtain the initial processing parameters corresponding to each damping component; using a second optimization algorithm to perform comprehensive optimization processing on all the initial processing parameters corresponding to all damping components to obtain the target processing parameters of each damping component; producing the corresponding damping component according to the target processing parameters of each damping component; fixing the first damping component, the second damping component, and the third damping component to two connecting plates, and assembling the two connecting plates to the first connecting part and the second connecting part respectively to form a connecting device.

[0009] Using the above scheme, the three sets of damping components in the intermediate damping section respectively realize the functions of absorbing vibration energy, reducing vibration propagation, and restoring the shape. The three sets of damping components work together to effectively disperse and dissipate seismic energy, and can also restore the shape in a timely manner after the earthquake. The two-level optimization algorithm first performs local optimization on the parameters of individual components, and then performs global optimization on all parameters to ensure that the parameters of each component meet the seismic requirements while achieving overall optimization.

[0010] According to another specific embodiment of the present invention, the method for manufacturing a connecting device for a wooden structure disclosed in this embodiment of the present invention includes a target seismic resistance condition including quality requirements, stiffness requirements, and energy absorption requirements, and a processing attribute including manufacturing material; the processing attribute of each damping component is determined according to the target seismic resistance condition, including: decomposing the quality requirements, stiffness requirements, and energy absorption requirements into a quality target, stiffness target, and energy absorption target corresponding to each damping component; and determining the manufacturing material of each damping component according to the quality target, stiffness target, and energy absorption target corresponding to each damping component.

[0011] By adopting the above scheme, a mapping relationship between seismic conditions and manufacturing materials was established, enabling precise quantitative control of material selection and providing accurate initial conditions for subsequent parameter optimization.

[0012] According to another specific embodiment of the present invention, the method for manufacturing a connecting device for a wooden structure disclosed in this embodiment of the present invention utilizes a first optimization algorithm to perform initial optimization processing on the processing parameters corresponding to the processing attributes of each damping component to obtain the initial processing parameters corresponding to each damping component. This includes: establishing an optimization objective function for each damping component based on the processing parameters and energy absorption parameters corresponding to each damping component; determining optimization constraints for each damping component based on parameter limitations and usage limitations of each damping component; optimizing the processing parameters of each damping component using a genetic optimization algorithm based on the optimization objective function and optimization constraints of each damping component to obtain the initial processing parameters corresponding to each damping component; and then, using a second optimization algorithm to comprehensively optimize all the initial processing parameters corresponding to all damping components to obtain the target processing parameters for each damping component. This includes: determining the design parameters of the connecting device based on all the initial processing parameters, and establishing an optimization objective function for the connecting device based on the design parameters, the energy absorption parameters, and the strength parameters of the connecting device; determining the optimization constraints of the connecting device based on the parameter physical limitations and performance limitations of the connecting device; and optimizing all the initial processing parameters using a genetic optimization algorithm based on the optimization objective function and optimization constraints of the connecting device to obtain the target processing parameters.

[0013] By adopting the above scheme, through layered optimization, the parameters of each damping component are first optimized independently, and then the performance conflicts between each damping component are eliminated through global coordination optimization. This not only ensures the performance of each damping component, but also ensures that the connection device as a whole meets the seismic design requirements.

[0014] According to another specific embodiment of the present invention, the manufacturing method of the connecting device for a wooden structure disclosed in this embodiment of the present invention comprises a first damping plate made of steel plate, a second damping plate made of rubber, an energy-absorbing component made of hydraulic damper, and a deformation recovery component made of shape memory alloy cable; the processing parameters of the first damping component include the stiffness of the steel plate, the stiffness of the rubber, and the damping coefficient of the rubber, and the energy absorption parameters of the first damping component include the total energy absorbed by the first damping component; the processing parameters of the second damping component include the damping coefficient and piston area of ​​the hydraulic damper, and the energy absorption parameters of the second damping component include the total energy absorbed by the hydraulic damper; the processing parameters of the third damping component include the stiffness of the shape memory alloy cable and the maximum deformation of the shape memory alloy cable, and the energy absorption parameters of the third damping component include the maximum restoring force of the third damping component. Furthermore, optimization objective functions for each damping component are established based on its corresponding processing parameters and energy absorption parameters. This includes determining the optimization objective function for the first damping component based on the stiffness of the steel plate, the stiffness of the rubber, the damping coefficient of the rubber, and the total absorbed energy of the first damping component. The optimization objective function for the first damping component is as follows:

[0015] in, Let be the objective function for optimizing the first damping component. The total energy absorbed by the first damping component is calculated based on the force and deformation rate of the steel plate and rubber, and the unit is J. For the rigidity of the steel plate, For the stiffness of rubber, This is the damping coefficient of the rubber, expressed in N·s / m. All are weighting coefficients.

[0016] The optimization objective function of the second damping component is determined based on the damping coefficient, piston area, and total absorbed energy of the hydraulic damper; the optimization objective function of the second damping component is as follows:

[0017]

[0018] in, Let be the objective function for optimizing the second damping component. The total energy absorbed by the hydraulic damper is calculated based on the damping force and piston speed of the hydraulic damper. The damping coefficient of the hydraulic damper. Let be the piston area of ​​the hydraulic damper. All are weighting coefficients.

[0019] The optimization objective function of the third damping component is determined based on the stiffness of the shape memory alloy cable, the maximum deformation of the shape memory alloy cable, and the maximum restoring force of the third damping component; wherein, the optimization objective function of the third damping component is:

[0020]

[0021] in, The objective function for optimizing the third damping component is... The maximum restoring force is calculated based on the stiffness and maximum deformation of the shape memory alloy cable. For the stiffness of shape memory alloy cables, The maximum deformation of the shape memory alloy cable. All are weighting coefficients.

[0022] By adopting the above scheme and establishing a mathematical optimization model, the optimal parameter combination of each component can be accurately determined. Furthermore, the combined use of shape memory alloy and hydraulic damper ensures both instantaneous energy absorption capacity and long-term deformation recovery capability.

[0023] According to another specific embodiment of the present invention, the method for manufacturing a connecting device for a wooden structure disclosed in this embodiment of the present invention includes the following parameter limitations for the first damping component: the maximum stiffness of the steel plate, the maximum stiffness of the rubber, and the maximum damping coefficient of the rubber; the usage limitation of the first damping component includes the minimum energy absorption value; the parameter limitations for the second damping component include the maximum allowable damping coefficient and the maximum piston area of ​​the hydraulic damper; the usage limitation of the second damping component includes the maximum force change rate of the hydraulic damper; the parameter limitations for the third damping component include the maximum allowable deformation of the shape memory alloy cable, the maximum restoring force that the shape memory alloy cable can provide, and the minimum restoring force that the shape memory alloy cable can provide; the usage limitation of the third damping component includes the maximum deformation recovery time of the shape memory alloy cable; and, based on the parameter limitations and usage limitations of each damping component, the optimization constraints for each damping component are determined, including:

[0024] The optimal constraints for the first damping component are determined based on the maximum stiffness of the steel plate, the maximum stiffness of the rubber, the maximum damping coefficient of the rubber, and the minimum absorbed energy. The optimal constraints for the first damping component are as follows:

[0025]

[0026] in, For the rigidity of the steel plate, The maximum stiffness of the steel plate. For the stiffness of rubber, This represents the maximum stiffness of the rubber. is the damping coefficient of the rubber. This is the maximum damping coefficient of the rubber. The total energy absorbed by the first damping component. This represents the minimum energy absorbed.

[0027] The optimal constraints for the second damping component are determined based on the maximum allowable damping coefficient, the maximum piston area, and the maximum force change rate of the hydraulic damper; the optimal constraints for the second damping component are as follows:

[0028]

[0029] in, The damping coefficient of the hydraulic damper. This represents the maximum permissible damping coefficient of the hydraulic damper. Let be the piston area of ​​the hydraulic damper. This represents the maximum piston area of ​​the hydraulic damper. This represents the damping force of the hydraulic damper.

[0030] The optimal constraints for the third damping component are determined based on the maximum allowable deformation of the shape memory alloy cable, the maximum restoring force that the shape memory alloy cable can provide, the minimum restoring force that the shape memory alloy cable can provide, and the maximum deformation recovery time of the shape memory alloy cable. The optimal constraints for the third damping component are as follows:

[0031]

[0032] in, The maximum deformation of the shape memory alloy cable. This represents the maximum allowable deformation of the shape memory alloy cable. This represents the maximum restoring force. For the maximum restoring force that shape memory alloy cables can provide, To minimize the restoring force, The minimum restoring force that shape memory alloy cables can provide. The time required for a shape memory alloy cable to recover from post-earthquake deformation to its initial state. The maximum recovery time of the shape memory alloy cable is the deformation.

[0033] By adopting the above scheme, the introduction of constraints ensures the feasibility of parameter combinations.

[0034] According to another specific embodiment of the present invention, the manufacturing method of the connecting device for a wooden structure disclosed in this embodiment includes the following initial processing parameters for the first damping component: the initial optimal value of the stiffness of the steel plate, the initial optimal value of the stiffness of the rubber, and the initial optimal value of the damping coefficient of the rubber; the initial processing parameters for the second damping component include the initial optimal value of the damping coefficient of the hydraulic damper and the initial optimal value of the piston area of ​​the hydraulic damper; the initial processing parameters for the third damping component include the initial optimal value of the stiffness of the shape memory alloy cable and the initial optimal value of the maximum deformation of the shape memory alloy cable; optimizing the processing parameters of each damping component to obtain the initial processing parameters for each damping component includes: providing a set of processing parameters for the first damping component; calculating the objective function value corresponding to the set of processing parameters for the first damping component and using the objective function value as fitness; selecting excellent individuals to enter the next generation based on fitness; generating new processing parameter combinations corresponding to the first damping component through crossover and mutation; and optimizing to achieve a preset yield. When the convergence condition is met, the system outputs the initial optimal values ​​for the stiffness of the steel plate, the initial optimal values ​​for the stiffness of the rubber, and the initial optimal values ​​for the damping coefficient of the rubber. It provides a set of processing parameters corresponding to a second damping component, calculates the objective function value corresponding to this set of processing parameters, and uses the objective function value as the fitness. Based on the fitness, it selects excellent individuals to enter the next generation, generates new processing parameter combinations corresponding to the second damping component through crossover and mutation, and outputs the initial optimal values ​​for the damping coefficient and piston area of ​​the hydraulic damper when the optimization reaches the preset convergence condition. It also provides a set of processing parameters corresponding to a third damping component, calculates the objective function value corresponding to this set of processing parameters, and uses the objective function value as the fitness. Based on the fitness, it selects excellent individuals to enter the next generation, generates new processing parameter combinations corresponding to the third damping component through crossover and mutation, and outputs the initial optimal values ​​for the stiffness and maximum deformation of the shape memory alloy cable when the optimization reaches the preset convergence condition.

[0035] The above scheme utilizes a genetic algorithm to independently optimize the processing parameters of each damping component, solving the problem of finding the optimal solution under multi-parameter coupling conditions, avoiding local optima in parameter combinations, balancing the matching relationships between parameters through quantitative calculations, and automatically adapting the optimization process to different seismic resistance requirements. Furthermore, applying optimization strategies to the three groups of damping components separately reduces the solution complexity in the high-dimensional parameter space.

[0036] According to another specific embodiment of the present invention, the method for manufacturing a connecting device for a wooden structure disclosed in this embodiment of the present invention, after outputting the initial optimal value of the damping coefficient and the initial optimal value of the piston area of ​​the hydraulic damper, further includes: optimizing the system stiffness of the hydraulic damper based on the system response equation of the hydraulic damper, the velocity of the hydraulic damper, and the structural acceleration of the hydraulic damper; calculating the equivalent damping ratio of the hydraulic damper, and verifying the parameters of the second damping component based on the comparison result of the equivalent damping ratio and the preset damping range.

[0037] By adopting the above scheme and optimizing the parameters of the second damping component based on the system response equation of the hydraulic damper, it is possible to ensure that the second damping component has a small vibration response while achieving optimal energy absorption. Furthermore, parameter verification of the second damping component ensures that it operates within the optimal damping range, guaranteeing its efficient operation during earthquakes and avoiding energy waste caused by excessive damping.

[0038] According to another specific embodiment of the present invention, the method for manufacturing a connecting device for a wooden structure disclosed in this embodiment includes energy absorption parameters of the connecting device including the energy absorption parameters of the first damping component and the second damping component; the strength parameters of the connecting device include the design strength of the steel plate, rubber, hydraulic damper, and shape memory alloy cable; wherein, the optimization objective function of the connecting device is calculated according to the following formula:

[0039]

[0040] in, The energy absorption parameters of the connecting device, For the strength parameters of the connecting device, For the design parameters of the connecting device, For the restoring force of the third damping component, All are weighting coefficients.

[0041] The optimization constraints for the connecting device are:

[0042] in, This is the minimum energy absorption capacity of the second damping component. The minimum restoring force of the third damping component. This represents the maximum vibration displacement. The maximum vibration displacement is limited. Furthermore, all initial processing parameters are optimized to obtain target processing parameters, including: providing a set of initial processing parameters, calculating the objective function value corresponding to the initial processing parameters and using the objective function value as fitness, selecting excellent individuals to enter the next generation based on fitness, generating new combinations of initial processing parameters corresponding to the initial processing parameters through crossover and mutation, and outputting the target processing parameters when the optimization reaches a preset convergence condition or a preset number of iterations.

[0043] By adopting the above scheme, and by establishing a multi-objective optimization function and constraint system, the coordinated optimization of the parameters of each component of the connecting device was achieved.

[0044] According to another specific embodiment of the present invention, the method for manufacturing a connecting device for a wooden structure disclosed in this embodiment of the present invention, after obtaining the target processing parameters corresponding to each damping component, further includes: verifying the effectiveness of the target processing parameters using a verification model, and optimizing the processing parameters of each damping component again to obtain new target processing parameters corresponding to each damping component when the verification fails.

[0045] By adopting the above scheme and setting parameter verification steps, it is possible to effectively identify processing parameter combinations that do not meet seismic requirements, avoid quality defects caused by direct input into production, and improve the reliability and consistency of the manufacturing of connecting devices.

[0046] The present invention discloses a connecting device for a wooden structure, which is manufactured by the manufacturing method of the connecting device for a wooden structure as described in any of the above embodiments.

[0047] The beneficial effects of this invention are:

[0048] This application provides a connection device for a wooden structure and its manufacturing method. By setting up multi-layer shock-absorbing components and using an optimization algorithm to determine the optimal processing parameters, it achieves a comprehensive improvement in seismic performance, manufacturing process, and post-earthquake recovery capability. It has the advantages of improving seismic performance, optimizing manufacturing process, and enhancing post-earthquake recovery capability. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the connection device for the wooden structure provided in an embodiment of the present invention;

[0050] Figure 2 This is a partial schematic diagram of the connection device for the wooden structure provided in an embodiment of the present invention;

[0051] Figure 3 This is another partial schematic diagram of the connecting device for the wooden structure provided in an embodiment of the present invention;

[0052] Figure 4This is a flowchart illustrating the manufacturing method of the connecting device for a wooden structure provided in an embodiment of the present invention.

[0053] Explanation of reference numerals in the attached figures:

[0054] 1. First connecting part; 2. Second connecting part; 3. Intermediate shock-absorbing part; 31. First shock-absorbing assembly; 32. Second shock-absorbing assembly; 33. Third shock-absorbing assembly; 34. Connecting plate. Detailed Implementation

[0055] As mentioned in the background section, traditional timber structure connectors typically use metal connectors for rigid fixation. During an earthquake, this connection method allows energy to be directly transferred to the timber body via the connectors, easily causing irreversible damage. While some improvements attempt to incorporate damping structures in conjunction with metal connectors, the lack of systematic collaborative design makes it difficult to effectively coordinate the high rigidity of the metal connectors with the low rigidity of the damping structure. This often leads to irreversible deformation of the metal connectors, while the damping structure, due to insufficient rigidity, experiences excessive displacement, failing to achieve the desired energy dissipation effect. To address these technical problems, this embodiment provides a method for manufacturing a timber structure connection device, and a timber structure connection device manufactured using this method. By improving the structure of the timber structure connection device and incorporating multiple intermediate damping components between the connection points, it achieves damping, energy absorption, and deformation recovery functions, effectively dispersing seismic energy and improving the seismic performance of both the connection device and the timber structure. Furthermore, by improving the manufacturing process of the connection device and optimizing its processing parameters, it ensures that each component in the connection device meets seismic requirements while achieving optimal overall performance. Specifically:

[0056] Example 1:

[0057] First, refer to Figure 1 The connection devices of the wooden structure are described. Figure 1 The diagram schematically illustrates a scenario where a wooden beam structure and a wooden column structure are connected using a connecting device. In fact, this connecting device can be applied to connecting any two wooden structures. In this embodiment, the wooden structure connecting device includes a first connecting part 1, a second connecting part 2, and an intermediate damping part 3 disposed between the first connecting part 1 and the second connecting part 2. The first connecting part 1 is fixedly connected to one of the wooden structures (e.g., a beam) that needs to be connected, and the second connecting part 2 is fixedly connected to the other wooden structure (e.g., a column) that needs to be connected. The intermediate damping part 3 is disposed between the first connecting part 1 and the second connecting part 2 to dissipate and absorb vibration energy, reduce vibration propagation, and restore its shape.

[0058] Among them, reference Figure 2 and Figure 3The intermediate damping part 3 includes two connecting plates 34 arranged opposite to each other, a first damping component 31, a second damping component 32 and a third damping component 33. The first damping component 31, the second damping component 32 and the third damping component 33 are all fixedly arranged between the two connecting plates 34. The first damping component 31 includes a first damping plate and a second damping plate arranged in layers. The second damping component 32 includes an energy absorption component. The third damping component 33 includes a deformation recovery component.

[0059] Specifically, the two connecting plates 34 are used to connect the damping components to the first connecting part 1 and the second connecting part 2. The first damping component 31 is used for energy absorption, that is, to reduce the propagation of vibration by consuming vibration energy, thereby effectively protecting the wooden structure and connecting devices. The second damping component 32 is used for support, that is, to provide seismic support by setting up a damping structure, reducing the propagation of vibration and enhancing the stability of the structure. The third damping component 33 is used for shape restoration, that is, to enable the structure, including the connecting devices, to quickly return to its original shape after an earthquake. More specifically, the three sets of damping components in the intermediate damping part 3 can be implemented in various ways. The stacked damping plates in the first damping component 31 can adopt a structure of alternating metal plates and elastic materials, such as a combination of steel plates and rubber plates, where the steel plates provide stiffness support and the rubber plates provide damping buffer. The energy-absorbing components of the second damping component 32 can adopt energy dissipation devices such as hydraulic dampers, friction dampers, or viscoelastic dampers. Specifically, the energy-absorbing components consume vibration energy by providing a reaction force. The deformation recovery component of the third damping assembly 33 can be a self-recovering element such as a shape memory alloy component, a spring return mechanism, or a pneumatic return device. The two connecting plates 34 can be made of steel, aluminum alloy, or composite materials and are fixed to the damping assembly by screwing or welding. In a preferred embodiment, the first damping assembly 31 is arranged circumferentially between the two connecting plates 34, forming a damping space between them. The second damping assembly 32 is disposed within this damping space. The deformation recovery components of the third damping assembly 33 are arranged in pairs within the damping space, with each pair of components fixedly connected at both ends to a corresponding connecting plate 34, and each pair of components extending intersecting each other.

[0060] With this structure, the three sets of damping components in the middle damping section can respectively consume and absorb vibration energy, reduce vibration propagation and restore shape. Working together, they can effectively disperse and dissipate earthquake energy.

[0061] Further, refer to Figure 4 The method for manufacturing this connecting device includes the following steps:

[0062] Obtain the target seismic resistance conditions of the connection device, and determine the processing attributes of each damping component according to the target seismic resistance conditions;

[0063] The first optimization algorithm is used to perform initial optimization processing on the processing parameters corresponding to the processing attributes of each vibration damping component to obtain the initial processing parameters corresponding to each vibration damping component;

[0064] The second optimization algorithm is used to comprehensively optimize all the initial processing parameters corresponding to all vibration damping components to obtain the target processing parameters for each vibration damping component.

[0065] Produce the corresponding vibration damping components according to the target processing parameters of each vibration damping component;

[0066] The first damping component, the second damping component, and the third damping component are fixedly connected to the two connecting plates, and the two connecting plates are respectively assembled with the first connecting part and the second connecting part to form a connecting device.

[0067] Specifically, the target seismic resistance conditions can be determined through relevant seismic design codes for connecting structures and timber structures, or based on specific engineering requirements. Determining processing attributes includes material selection, and the corresponding processing parameters include the mechanical or deformation parameters of the selected materials. For example, the material for the first damping plate can be steel or aluminum alloy, while the material for the second damping plate can be elastic materials such as rubber or polyurethane; the processing parameters include the stiffness of steel, the stiffness of rubber, and the damping coefficient of rubber. The first optimization algorithm can employ adaptive optimization algorithms such as genetic algorithms or particle swarm optimization to locally optimize parameters such as the stiffness and damping coefficient of individual damping components. The second optimization algorithm can employ multi-objective optimization algorithms or genetic algorithms to comprehensively consider the interaction of each damping component and globally optimize all parameters. The production of damping components can employ machining, molding, or other processes, and the assembly process can use bolted connections, welding, or bonding methods.

[0068] This process involves two levels of optimization of the processing parameters of the connecting device: first, local optimization of individual component parameters, and then global optimization of all parameters. This ensures that the parameters of each component meet the seismic requirements while achieving overall optimality. The connecting device produced using the optimized parameters has better overall seismic performance, and the manufacturing process is also safer and more economical.

[0069] This solution addresses the poor seismic performance of timber structure connection devices by employing a collaborative construction of multiple damping components and optimizing their manufacturing parameters. The three damping components in the central damping section respectively absorb vibration energy, reduce vibration propagation, and restore the device's shape. Their collaborative operation effectively disperses and dissipates seismic energy and ensures timely post-earthquake recovery. A two-stage optimization algorithm first optimizes the parameters of individual components locally, then performs global optimization of all parameters, ensuring that each component's parameters meet seismic requirements while achieving overall optimality. Compared to existing technologies, this method, through structural design and parameter optimization, improves the overall seismic performance of the connection device while achieving a balance between economic efficiency and safety in manufacturing processes.

[0070] Furthermore, in this manufacturing method, the target seismic resistance conditions include quality requirements, stiffness requirements, and energy absorption requirements, and the processing attributes include the manufacturing materials. Moreover, the processing attributes of each damping component are determined according to the target seismic resistance conditions, including:

[0071] The quality requirements, stiffness requirements, and energy absorption requirements are decomposed into the corresponding quality targets, stiffness targets, and energy absorption targets for each damping component;

[0072] The materials used to manufacture each damping component are determined based on the mass, stiffness, and energy absorption targets corresponding to each damping component.

[0073] Specifically, quality requirements can be reflected in the total weight limit of the connecting device or the unit volume density index, for example, by setting the mass of the first damping component to not exceed 40% of the total mass of the connecting device. Stiffness requirements can be quantified by elastic modulus or yield strength; for example, the stiffness target of the third damping component is set to provide a restoring force of not less than 20kN within a 5mm displacement range. Energy absorption requirements can be converted into the minimum energy dissipated per unit time; for example, the second damping component needs to provide a reaction force corresponding to at least 500J of seismic energy within 0.5 seconds. The determination of the manufacturing materials can adopt a multi-objective decision-making method, such as using the TOPSIS algorithm to comprehensively evaluate the density, elastic modulus, and damping coefficient of candidate materials. As a preferred implementation, the quality target can be controlled by the product of the material density and volume, the stiffness target can be achieved by selecting metals or composite materials with matching elastic modulus, and the energy absorption target can be achieved by polymer materials with elastic properties or hydraulic damping structures.

[0074] This process, by establishing a mapping relationship between seismic resistance conditions and manufacturing materials, enables precise quantitative control of material selection. Specifically, it decomposes the targets into three dimensions: mass requirements, stiffness requirements, and energy absorption requirements, allowing each damping component to specifically meet its functional needs. For example, laminated steel plates prioritize stiffness targets, hydraulic dampers focus on energy absorption targets, and shape memory alloys balance stiffness and deformation recovery requirements. This material determination method, based on the decomposition of mass, stiffness, and energy absorption targets according to seismic resistance conditions, avoids redundancy or inadequacy in material properties compared to traditional experience-based selection. It ensures that the material properties of each component are precisely matched with the overall seismic resistance requirements, effectively solving the problem of a lack of scientific basis for the selection of seismic component materials and providing accurate initial conditions for subsequent parameter optimization.

[0075] Furthermore, in this manufacturing method, the first optimization algorithm is used to perform initial optimization processing on the processing parameters corresponding to the processing attributes of each vibration damping component to obtain the initial processing parameters corresponding to each vibration damping component, including:

[0076] An optimization objective function is established for each damping component based on its processing parameters and energy absorption parameters.

[0077] The optimization constraints for each damping component are determined based on the parameter limitations and usage limitations of each component.

[0078] Based on the optimization objective function and optimization constraints corresponding to each vibration damping component, the processing parameters of each vibration damping component are optimized using a genetic optimization algorithm to obtain the initial processing parameters corresponding to each vibration damping component.

[0079] Furthermore, in this manufacturing method, a second optimization algorithm is used to comprehensively optimize all initial processing parameters corresponding to all vibration damping components to obtain the target processing parameters for each vibration damping component, including:

[0080] The design parameters of the connecting device are determined based on all the initial processing parameters, and the optimization objective function of the connecting device is established based on the design parameters, the energy absorption parameters and strength parameters of the connecting device.

[0081] Determine the optimal constraints of the connection device based on the physical and performance limitations of the connection device parameters;

[0082] Based on the optimization objective function and optimization constraints corresponding to the connecting device, the genetic optimization algorithm is used to optimize all the initial processing parameters to obtain the target processing parameters.

[0083] Specifically, the objective function can be established using a multi-objective weighted method, where the weight coefficients can be dynamically adjusted based on material properties and performance requirements. For example, the objective function of the first damping component can incorporate the synergistic weight coefficients of steel plate stiffness and rubber damping, while the objective function of the second damping component can include the weight coefficients corresponding to the nonlinear relationship between the piston area and damping force of the hydraulic damper. The genetic algorithm can be implemented using adaptive crossover and mutation probabilities, with a population size of 50-200, an iteration termination condition of 5-10 consecutive generations, and an optimal solution change rate of less than 0.1%. Parameter constraints must consider material mechanical property data, such as the maximum stiffness of the steel plate and the maximum damping of the rubber. The quantification of constraints can be based on seismic response spectrum analysis; for example, the minimum absorbed energy can be converted into displacement at the corresponding magnitude.

[0084] Genetic algorithms can be implemented in ways including but not limited to the following: the fitness function can be constructed using a linear weighted method or a Pareto optimal method; the crossover operation can be a single-point crossover, a multi-point crossover, or a uniform crossover; the mutation operation can be a Gaussian mutation, a polynomial mutation, or a boundary mutation. Convergence conditions can be set as the rate of change of the objective function value being less than a threshold, the number of iterations reaching an upper limit, or the optimal individual maintaining its position for more than a specified number of generations.

[0085] This approach employs a hierarchical optimization process: first, individual parameters of each damping component are optimized independently; then, global coordination optimization eliminates performance conflicts between components. The first optimization algorithm ensures optimal performance for each component under local constraints, while the second algorithm balances overall seismic performance and structural reliability by setting an objective function for the connection device. Furthermore, a genetic algorithm effectively handles multi-parameter, nonlinear optimization problems, avoiding local optima traps encountered by traditional gradient methods. Compared to existing technologies where parameters are empirically set, this scheme transforms processing parameters into quantifiable optimization problems, automatically searching for optimal solutions through algorithms. This ensures both the performance of each damping component and that the overall connection device meets seismic design requirements. In practical implementation, the rationality of the optimization results can be verified through finite element simulation. When the deviation between the convergence value of the objective function and the actual measured value exceeds 5%, the weighting coefficients or constraints need to be readjusted.

[0086] Furthermore, in a preferred implementation, after obtaining the target processing parameters corresponding to each damping component, the method further includes:

[0087] The validity of the target processing parameters is verified using a validation model. If the verification fails, the processing parameters of each damping component are re-optimized to obtain new target processing parameters for each damping component.

[0088] Specifically, the verification model can employ either a finite element method (FEM) simulation model or a physical experimental model. The FEM simulation model establishes a mechanical model of the connecting device, inputs target processing parameters, simulates the mechanical response under seismic conditions, and outputs performance indicators such as displacement and energy absorption. The physical experimental model involves fabricating a prototype of the connecting device and conducting seismic performance tests on a shaking table. By setting certain verification criteria, a process of parameter re-optimization is initiated when any indicator fails to meet the standard. Re-optimization can employ gradient descent or genetic algorithms, performing local search or global optimization based on the original parameters.

[0089] This process, which involves setting up parameter verification steps, effectively identifies processing parameter combinations that do not meet seismic resistance requirements, avoiding quality defects caused by direct implementation in production. When verification fails, the processing parameters of each damping component are re-optimized, forming a closed-loop optimization process. Through iterative optimization, parameter quality is continuously improved, ensuring that the final processing parameters simultaneously meet seismic performance and economic requirements, thereby enhancing the reliability and consistency of the connecting device manufacturing.

[0090] Next, the optimization methods for the processing parameters of the first, second, and third damping components, as well as the comprehensive optimization method for the processing parameters of the connecting devices, will be explained. In the first damping component, the first damping plate is made of steel plate, and the second damping plate is made of rubber. In the second damping component, the energy-absorbing component is made of hydraulic damper, and in the third damping component, the deformation recovery component is made of shape memory alloy cable. The first damping component is optimized by selecting suitable steel plates and damping rubber materials, and optimizing its stiffness and damping coefficient to ensure maximum absorption of seismic energy. The second damping component is optimized by optimizing the parameters of the hydraulic damper to ensure it can effectively dissipate seismic energy and provide support during an earthquake. The third damping component is optimized by selecting suitable shape memory alloy (SMA) cables according to the post-earthquake deformation recovery requirements, and optimizing their cable stiffness and restoring force to ensure rapid structural recovery after an earthquake. The connection device is comprehensively designed and optimized. This involves using a reasonable optimization algorithm to optimize the design parameters of the first, second, and third damping components of the connection device, so as to ensure that the entire damping component can absorb energy to the maximum extent, provide support, and recover quickly under seismic action.

[0091] Specifically, the process of obtaining the initial processing parameters for each damping component includes:

[0092] The objective function of the first damping component is established based on its processing parameters and energy absorption parameters; the optimization constraints of the first damping component are determined based on its parameter limitations and usage limitations; and the processing parameters of the first damping component are optimized using a genetic algorithm based on its objective function and optimization constraints to obtain the initial processing parameters of the first damping component.

[0093] The optimization objective function of the second damping component is established based on its processing parameters and energy absorption parameters; the optimization constraints of the second damping component are determined based on its parameter limitations and usage limitations; and the processing parameters of the second damping component are optimized using a genetic algorithm based on its optimization objective function and optimization constraints to obtain the initial processing parameters of the second damping component.

[0094] The optimization objective function of the third damping component is established based on its processing parameters and energy absorption parameters; the optimization constraints of the third damping component are determined based on its parameter limitations and usage limitations; and the processing parameters of the third damping component are optimized using a genetic algorithm based on its optimization objective function and optimization constraints to obtain the initial processing parameters of the third damping component.

[0095] First, the optimization design steps for the first shock absorber component will be explained:

[0096] The processing parameters of the first damping component include the stiffness of the steel plate, the stiffness of the rubber, and the damping coefficient of the rubber. The energy absorption parameters of the first damping component include the total energy absorbed by the first damping component. The parameter limitations of the first damping component include the maximum stiffness of the steel plate, the maximum stiffness of the rubber, and the maximum damping coefficient of the rubber. The usage limitations of the first damping component include the minimum energy absorption value. The initial processing parameters corresponding to the first damping component include the initial optimal values ​​of the stiffness of the steel plate, the initial optimal values ​​of the stiffness of the rubber, and the initial optimal values ​​of the damping coefficient of the rubber. Specifically, the stiffness of the steel plate can be achieved by adjusting the steel plate thickness or the heat treatment process, and the stiffness and damping coefficient of the rubber can be achieved by adjusting the rubber formula or the vulcanization process.

[0097] When performing optimization design, it is necessary to first determine the optimization objective function of the first damping component based on the stiffness of the steel plate, the stiffness of the rubber, the damping coefficient of the rubber, and the total absorbed energy of the first damping component. Specifically, the optimization objective function determined based on the above parameters can maximize energy absorption while controlling the stiffness and damping coefficient of the steel plate and rubber to avoid excessive material costs.

[0098] The objective function for optimizing the first damping component is:

[0099] in, Let be the objective function for optimizing the first damping component. The total energy absorbed by the first damping component is calculated based on the force and deformation rate of the steel plate and rubber, and the unit is J. For the rigidity of the steel plate, For the stiffness of rubber, This is the damping coefficient of the rubber, expressed in N·s / m. These are all weighting coefficients, and their specific values ​​are determined by the degree of influence of their corresponding parameters on energy absorption.

[0100] Specifically, the total energy absorbed by the first damping component It can be calculated using the following formula:

[0101]

[0102] in, and The forces (in N) are for the steel plate and the rubber, respectively. and The values ​​are the deformation rates of the steel plate and rubber (unit: m / s), respectively, and T is the duration of the earthquake (unit: seconds).

[0103] In this process, the steel plate absorbs energy through elastic deformation, and the force of the steel plate... Its stiffness and displacement are determined by the following formula:

[0104]

[0105] in, This represents the stiffness of the steel plate (unit: N / m). Displacement of the steel plate (unit: m).

[0106] rigidity of steel plate It can be calculated using the following formula:

[0107]

[0108] in, The elastic modulus of the steel plate (unit: N / m) 2 ), It is the cross-sectional area of ​​the steel plate (unit: m). 2 ), It is the length of the steel plate (unit: m).

[0109] Rubber materials primarily absorb energy through elastic deformation and frictional damping. The force of rubber... Its stiffness and damping characteristics determine its overall performance.

[0110]

[0111] in, This refers to the stiffness of the rubber (unit: N / m). This is the damping coefficient of the rubber (unit: N•s / m). This represents the elastic deformation of the rubber (unit: m). The deformation rate of the rubber (unit: m / s).

[0112] stiffness of rubber and damping coefficient The calculation formula is as follows:

[0113]

[0114]

[0115] in, The elastic modulus of rubber (unit: N / m) 2 ), The cross-sectional area of ​​the rubber (unit: m) 2 ), The length of the rubber (unit: m). is the damping ratio of the rubber (dimensionless), and m is the mass of the rubber (unit: kg).

[0116] Then, the optimal constraints for the first damping component were determined based on the maximum stiffness of the steel plate, the maximum stiffness of the rubber, the maximum damping coefficient of the rubber, and the minimum absorbed energy. The optimal constraints for the first damping component are as follows:

[0117]

[0118] in, For the rigidity of the steel plate, The maximum stiffness of the steel plate. For the stiffness of rubber, This represents the maximum stiffness of the rubber. is the damping coefficient of the rubber. This is the maximum damping coefficient of the rubber. The total energy absorbed by the first damping component. This represents the minimum energy absorbed.

[0119] Specifically, the maximum stiffness of the steel plate, the maximum stiffness of the rubber, and the maximum damping coefficient of the rubber are determined by the physical properties of the materials. The maximum stiffness of the steel plate is the minimum energy absorption required for the design.

[0120] Next, the optimization algorithm is executed and an optimal set of design parameters is output. Specifically, a set of processing parameters corresponding to the first damping component is provided. The objective function value corresponding to the set of processing parameters of the first damping component is calculated and used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. Through crossover and mutation, a new combination of processing parameters corresponding to the first damping component is generated. When the optimization reaches the preset convergence condition, the initial optimal values ​​of the stiffness of the steel plate, the initial optimal values ​​of the stiffness of the rubber, and the initial optimal values ​​of the damping coefficient of the rubber are output.

[0121] By optimizing the processing parameters of the first damping component as described above, the damping performance of the connecting device can be improved. Specifically, by adjusting the stiffness and damping coefficients of the steel plate and rubber, the degree of energy absorption can be maximized, while ensuring the stability and economy of the system. This optimization method provides a precise calculation basis for the design of the first damping component and the connecting device, and can better meet the seismic requirements.

[0122] Secondly, the optimization design steps for the second damping component are explained:

[0123] The processing parameters of the second damping component include the damping coefficient and piston area of ​​the hydraulic damper; the energy absorption parameters of the second damping component include the total energy absorbed by the hydraulic damper; the parameter limitations of the second damping component include the maximum permissible damping coefficient and the maximum piston area of ​​the hydraulic damper; the usage limitations of the second damping component include the maximum force change rate of the hydraulic damper; the initial processing parameters corresponding to the second damping component include the initial optimal value of the damping coefficient and the initial optimal value of the piston area of ​​the hydraulic damper. Specifically, the damping coefficient of the hydraulic damper can be achieved by adjusting the oil viscosity or the throttle valve opening, and the piston area can be achieved by changing the cylinder diameter.

[0124] When performing optimization design, it is necessary to first determine the optimization objective function of the second damping component based on the damping coefficient, piston area, and total absorbed energy of the hydraulic damper. Determining the optimization objective function of the second damping component based on these parameters maximizes the vibration energy consumed by the hydraulic damper while simultaneously controlling its design parameters to avoid excessive energy consumption leading to power loss or excessive friction.

[0125] The objective function for optimizing the second damping component is:

[0126]

[0127] in, Let be the objective function for optimizing the second damping component. The total energy absorbed by the hydraulic damper is calculated based on the damping force and piston speed of the hydraulic damper. The damping coefficient of the hydraulic damper. Let be the piston area of ​​the hydraulic damper. These are all weighting coefficients, and their specific values ​​are determined by the degree of influence of the corresponding parameters on energy absorption.

[0128] Specifically, the total energy absorbed by the hydraulic damper The damping force is obtained by integration. Specifically, it is calculated using the following formula:

[0129]

[0130] The damping force provided by the hydraulic damper It can be calculated using the following formula:

[0131]

[0132] in, It is the damping coefficient of the hydraulic damper (unit: N·s / m). It is the speed of the piston in the hydraulic damper (unit: m / s).

[0133] The damping force of a hydraulic damper is related to the relative velocity of the structure. It is directly proportional to the energy generated by an earthquake, thus the energy can be easily dissipated through the adjustment capability of the hydraulic damper.

[0134] The damping coefficient of a hydraulic damper is calculated using the following formula:

[0135]

[0136] in, It is the piston area of ​​the hydraulic damper (unit: m²). It is the maximum pressure of the hydraulic system (unit: Pa). It is the maximum flow rate of the hydraulic system (unit: m / s).

[0137] Subsequently, the optimal constraints for the second damping component were determined based on the maximum permissible damping coefficient, the maximum piston area, and the maximum force change rate of the hydraulic damper. The optimal constraints for the second damping component are as follows:

[0138]

[0139] in, The damping coefficient of the hydraulic damper. This is the maximum permissible damping coefficient of the hydraulic damper, which is usually limited by the design parameters of the hydraulic system. Let be the piston area of ​​the hydraulic damper. The maximum piston area of ​​a hydraulic damper is usually determined by design requirements and available space. This refers to the damping force of the hydraulic damper. By limiting the damping force, the hydraulic damper can be ensured to respond smoothly during vibration, avoiding excessive force abrupt changes.

[0140] Next, the optimization algorithm is executed and an optimal set of design parameters is output. Specifically, a set of processing parameters corresponding to the second damping component is provided. The objective function value corresponding to the set of processing parameters of the second damping component is calculated and used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. Through crossover and mutation, a new combination of processing parameters corresponding to the second damping component is generated. When the optimization reaches the preset convergence condition, the initial optimal value of the damping coefficient of the hydraulic damper and the initial optimal value of the piston area of ​​the hydraulic damper are output.

[0141] Subsequently, the system stiffness of the hydraulic damper was optimized based on the system response equation, the speed of the hydraulic damper, and the structural acceleration of the hydraulic damper; the equivalent damping ratio of the hydraulic damper was calculated, and the parameters of the second damping component were verified based on the comparison between the equivalent damping ratio and the preset damping range.

[0142] The hydraulic damper and the structure together form a dynamic system, the motion of which can be described by the following equations of motion:

[0143]

[0144] in, Mass of the structure (unit: kg); The acceleration of the structure (unit: m / s²); The velocity of the structure (unit: m / s); The displacement of the structure (unit: m); Vibrational force applied externally (unit: N); The system stiffness of the hydraulic damper (unit: N / m) is determined by the stiffness of the connecting device and the hydraulic damper.

[0145] The dynamic response equation represents the dynamic response of the hydraulic damper and its connection device under seismic loading. During an earthquake, the hydraulic damper provides a reaction force. To reduce vibration.

[0146]

[0147] in, These are known seismic accelerations, obtained using actual seismic records or through simulation.

[0148] Next, the relationship between the speed of the hydraulic damper and the acceleration of the connecting device is established:

[0149]

[0150] in, The speed of the hydraulic damper piston (unit: m / s); Speed ​​of the connecting device (unit: m / s); The reference speed for the installation location of the hydraulic damper (usually the speed of the ground or foundation).

[0151] Next, the relationship between the speed of the hydraulic damper and the acceleration of the connecting device will be established:

[0152]

[0153] Considering the influence of the reference velocity at the installation position of the hydraulic damper, the system response equation can be rewritten as:

[0154]

[0155] The mechanical calculations of the hydraulic damper are combined with the system response equations to form a comprehensive dynamic equation.

[0156] Finally, according to and The vibration response of the simulated structure is used to obtain the displacement of the structure. ,speed and acceleration Find the minimum displacement. ,speed and acceleration The minimum vibration response can then be obtained. Specifically, this can be achieved through the following iterative optimization steps: First, initialization is performed, i.e., setting initial conditions, displacement... =0, initial velocity =0. Then iterative calculations are performed, i.e., a reasonable time step is selected. At each time step The acceleration, velocity, and displacement of the system are calculated using recursive formulas, yielding the time-varying responses of the structure's displacement, velocity, and acceleration.

[0157]

[0158]

[0159]

[0160] Then, the equivalent damping ratio of the hydraulic damper is calculated according to the following formula:

[0161]

[0162] in, The equivalent damping ratio of the hydraulic damper (dimensionless). The damping coefficient of the hydraulic damper (unit: N·s / m); Mass of the structure (unit: kg); The total stiffness of the system (unit: N / m).

[0163] Next, the calculated equivalent damping ratio is compared with the preset damping range (i.e., the ideal damping ratio). Specifically, the equivalent damping ratio of a hydraulic damper typically falls within the following range:

[0164] 0.01 to 0.05: Lower damping ratio, suitable for earthquakes with mild vibrations or low magnitudes.

[0165] 0.05 to 0.1: Moderate damping ratio, generally used in the seismic design of ordinary buildings. For most engineering applications, a damping ratio within this range can balance vibration reduction effect and energy consumption.

[0166] 0.1 to 0.3: Higher damping ratio, suitable for applications requiring higher vibration reduction performance, typically used in high-risk areas or buildings that need to withstand strong earthquakes.

[0167] Ideal damping ratio: 0.05 to 0.1: This range of damping ratios can effectively reduce vibration amplitude and control energy consumption, avoiding unnecessary energy loss of the system due to excessive damping.

[0168] If the difference between the equivalent damping ratio and the ideal damping ratio is large, the optimization steps for the second damping component can be repeated.

[0169] By employing the above steps, the energy dissipation capacity of the hydraulic damper can be optimized. This maximizes the hydraulic damper's ability to absorb seismic energy, allowing the system to dissipate as much vibration energy as possible and reduce vibration propagation. This is achieved by adjusting the damping coefficient of the hydraulic damper. and stiffness It can directly control the acceleration, velocity and displacement of the structure, keeping the entire system of damping devices and connecting devices within a safe range, avoiding excessive vibration or structural damage. The dual optimization is superimposed to form a comprehensive optimization scheme.

[0170] By optimizing the processing parameters of the second damping component as described above, the optimal design parameters of the hydraulic damper can be obtained, ensuring that the second damping component maximizes the dissipation of vibration energy and slows down the propagation of vibration during an earthquake. The second damping component and connecting device produced with the optimized parameters have high seismic resistance and the structure can maintain long-term stability.

[0171] Next, the optimization design steps for the third damping component will be explained:

[0172] The processing parameters of the third damping component include the stiffness and maximum deformation of the shape memory alloy cable. The energy absorption parameters of the third damping component include the maximum restoring force. The parameter limitations of the third damping component include the maximum permissible deformation, the maximum restoring force, and the minimum restoring force provided by the shape memory alloy cable. The usage limitations of the third damping component include the maximum deformation recovery time of the shape memory alloy cable. The initial processing parameters corresponding to the third damping component include the initial optimal values ​​of the stiffness and maximum deformation of the shape memory alloy cable. Specifically, the stiffness of the shape memory alloy cable can be achieved by adjusting the alloy wire diameter or the degree of pre-strain, and the maximum deformation can be controlled by setting the alloy phase transformation temperature range.

[0173] When performing optimization design, it is necessary to first determine the optimization objective function of the third damping component based on the stiffness of the shape memory alloy cable, the maximum deformation of the shape memory alloy cable, and the maximum restoring force of the third damping component. The optimization objective function of the third damping component determined according to the above parameters can ensure the stiffness and restoring capacity of the SMA cable, ensuring that the connection device can quickly return to its original state after an earthquake, while avoiding excessive deformation.

[0174] The objective function for optimizing the third damping component is:

[0175]

[0176] in, The objective function for optimizing the third damping component is... The maximum restoring force is calculated based on the stiffness and maximum deformation of the shape memory alloy cable. For the stiffness of shape memory alloy cables, The maximum deformation of the shape memory alloy cable. These are all weighting coefficients, and their values ​​are determined based on the degree of influence of stiffness and deformation force on restoring force.

[0177] Specifically, the maximum restoring force of SMA cables typically occurs during the elastic phase of the material, i.e., when the strain has not exceeded the yield value. At this point, the restoring force... The maximum is:

[0178]

[0179] in, This represents the maximum restoring force (unit: N). It is the maximum deformation of the SMA cable (unit: m).

[0180] As the SMA cable enters the plastic phase and begins to recover its shape, the restoring force gradually decreases to a minimum until full recovery. Minimum Restoring Force Yield strain occurring in SMA cables Upon arrival.

[0181]

[0182] in, This represents the minimum restoring force (unit: N). The yield deformation of the SMA cable (unit: m).

[0183] Specifically, the SMA cables in the recovery layer achieve structural recovery through deformation restoring force. Restoring force Deformation of the cable It is directly proportional, and the specific calculation formula is as follows:

[0184]

[0185] in, Restoring force of SMA cable (unit: N). The stiffness of the SMA cable (unit: N / m) represents the strength of the material's resilience. This represents the deformation of the SMA cable (unit: m), i.e., the amount of deformation of the SMA cable during vibration.

[0186] SMA materials exhibit two distinct stress-strain behaviors: an elastic region and a plastic region. These are described by the following constitutive model:

[0187] In the elastic phase of SMA material, the stress and strain of the cable exhibit a linear relationship:

[0188] (In the elastic zone)

[0189] in, The stress of the SMA cable is expressed in N / m². This refers to the elastic modulus of SMA (unit: N / m²), which is the stiffness of the SMA cable material. Strain of SMA (unit: m / m), i.e., the degree of deformation of SMA cable.

[0190] During the plastic stage of SMA materials, when the strain exceeds a certain critical value, the SMA materials will undergo a yielding stage and then return to their initial shape.

[0191] (In the plastic zone)

[0192] in, The yield strength of SMA material (unit: N / m²). The plastic modulus of SMA material (unit: N / m²) represents the ability of SMA material to undergo plastic deformation. The yield strain of the SMA (unit: m / m) is the strain value at which the SMA begins to undergo plastic deformation.

[0193] SMA materials exhibit shape memory during the plastic stage, meaning that when the external force is removed, the SMA cable will return to its initial state.

[0194] The mechanical behavior of SMA cables can be divided into elastic and plastic stages. During vibration, the deformation of the SMA cable switches between these two stages, thus its restoring force exhibits nonlinear behavior. After the earthquake, the SMA cable will recover to its initial state through temperature changes or self-restoration.

[0195] Subsequently, the optimal constraints for the third damping component were determined based on the maximum allowable deformation of the shape memory alloy cable, the maximum restoring force that the shape memory alloy cable can provide, the minimum restoring force that the shape memory alloy cable can provide, and the maximum deformation recovery time of the shape memory alloy cable. The optimal constraints for the third damping component are as follows:

[0196]

[0197] in, The maximum deformation of the shape memory alloy cable. The maximum allowable deformation of the shape memory alloy cable is determined by the material's durability and structural requirements. This represents the maximum restoring force. The maximum restoring force that shape memory alloy cables can provide is set according to actual engineering requirements. To minimize the restoring force, The minimum restoring force that the shape memory alloy cable can provide is set according to the relevant specifications or engineering requirements to ensure that the cable can provide sufficient restoring force under maximum deformation. The time required for a shape memory alloy cable to recover from post-earthquake deformation to its initial state. The maximum recovery time of the shape memory alloy cable is set by the design standards or project requirements.

[0198] Next, the optimization algorithm is executed and an optimal set of design parameters is output. Specifically, a set of processing parameters corresponding to the third damping component is provided. The objective function value corresponding to the set of processing parameters of the third damping component is calculated and used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. Through crossover and mutation, a new combination of processing parameters corresponding to the third damping component is generated. When the optimization reaches the preset convergence condition, the initial optimal value of the stiffness of the shape memory alloy cable and the initial optimal value of the maximum deformation of the shape memory alloy cable are output.

[0199] By optimizing the processing parameters of the third damping component as described above, it can be ensured that the shape memory alloy cable of the third damping component can restore its original shape to the maximum extent during an earthquake, thereby improving the seismic performance of the connection device. Furthermore, the optimization algorithm provides accurate parameter calculation basis for the subsequent production of the connection device, ensuring that the third damping component has high restoring force and fast recovery speed while maintaining structural stability.

[0200] Finally, the comprehensive optimization method for the processing parameters of the connecting device is explained.

[0201] The energy absorption parameters of the connecting device include those of the first and second damping components; the strength parameters of the connecting device include the design strengths of the steel plate, rubber, hydraulic damper, and shape memory alloy cable. During optimization design, the objective function is first determined. By defining the objective function using the above parameters, the design optimization of the three damping components is integrated into a unified objective function. By adjusting the design parameters of the first, second, and third damping components, the overall damping effect of the connecting device can be maximized.

[0202] The objective function for optimizing the connecting device is calculated according to the following formula:

[0203]

[0204] in, The energy absorption parameters of the connecting device, For the strength parameters of the connecting device, For the design parameters of the connecting device, For the design strength of the hydraulic damper, For the restoring force of the third damping component, These are all weighting coefficients, and their values ​​are determined based on the degree of influence of each parameter on energy absorption. It should be noted that the weighting coefficients can be determined through orthogonal experiments based on the degree of influence of each parameter on the overall performance. For example, when the seismic performance requirements are high, the weight of the energy absorption parameter can be increased; when the focus is on structural safety, the weight of the strength parameter can be increased; and when economic efficiency needs to be considered, the weight of the design parameter can be appropriately increased.

[0205] Next, the optimization constraints are determined. Specifically, the optimization constraints for the connecting device are:

[0206]

[0207] in, To minimize the energy absorbed by the second damping component, ensuring that the hydraulic damper can effectively dissipate vibration energy. This is the minimum restoring force of the third damping component, ensuring that the structure can effectively recover after an earthquake. This represents the maximum vibration displacement. To limit the maximum vibration displacement and prevent the structure from undergoing excessive displacement during an earthquake.

[0208] Next, all initial processing parameters are optimized to obtain target processing parameters. Specifically, a set of initial processing parameters is provided, the objective function value corresponding to the set of initial processing parameters is calculated, and the objective function value is used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. Through crossover and mutation, new combinations of initial processing parameters are generated, and the target processing parameters are output when the optimization reaches the preset convergence condition or the preset number of iterations.

[0209] By comprehensively optimizing all initial processing parameters, optimal design parameters were obtained, ensuring that the connection device can maximize energy absorption, provide effective support, and rapidly restore the structure under seismic loading. Specifically, optimal design parameter configuration was achieved throughout the entire damping device. This optimization scheme considered multiple aspects such as energy absorption, support capacity, and recovery capacity, ensuring that the damping device has efficient damping effect, rapid recovery capacity, and meets all physical limitations and performance standards required by design when facing complex seismic environments.

[0210] In summary, this embodiment employs a central damping section and three sets of damping components working collaboratively. The first damping component utilizes a steel plate and rubber laminate structure to achieve a rigid-flexible energy absorption mechanism; the second damping component uses a hydraulic damper for active energy absorption; and the third damping component utilizes a shape memory alloy for deformation recovery. The manufacturing method employs a two-level optimization algorithm: first, local optimization of the parameters of individual damping components, and then global optimization of the entire system parameters, ensuring that the parameters of each component meet performance requirements while achieving overall optimality. This method replaces existing empirical design with scientific calculations, achieving optimal material cost allocation while ensuring seismic performance. The multi-component collaborative damping mechanism solves the problem of insufficient performance of traditional single-dampening methods in connection devices, while the parameter optimization algorithm addresses the difficulty of balancing safety and economy in manual design.

[0211] Example 2:

[0212] Based on the above-described method for manufacturing a connecting device for a wooden structure, this embodiment provides a connecting device for a wooden structure. This connecting device for a wooden structure is manufactured using the method described in Embodiment 1 above.

[0213] Specifically, the intermediate damping section of the connecting device includes three sets of damping components, each having a stacked damping plate, an energy-absorbing component, and a deformation recovery component. The manufacturing method employs a two-level optimization algorithm to collaboratively optimize the processing parameters of each damping component, ensuring a balance and optimal performance in stiffness, energy absorption, and deformation recovery.

[0214] The wood structure connection device provided in this embodiment enables the various damping components to complement each other in terms of mechanical properties. Specifically, the first damping component provides foundation stiffness and damping through a laminated structure of steel plates and rubber; the second damping component's hydraulic damper can dissipate a large amount of energy; and the third damping component's shape memory alloy ensures post-earthquake deformation recovery. This design offers advantages such as excellent seismic performance, good safety, and cost-effectiveness.

[0215] Example 3:

[0216] This embodiment provides an electronic device, including a processor and a memory communicatively connected to the processor; wherein the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method for manufacturing a connecting device for a wooden structure as described in Embodiment 1.

[0217] This embodiment also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method for manufacturing a connecting device for a wooden structure as described in Embodiment 1.

[0218] This embodiment also provides a computer program product, including a computer program that, when executed by a processor, implements a method for manufacturing a connecting device for a wooden structure as described in Embodiment 1.

[0219] While the present invention has been illustrated and described with reference to certain preferred embodiments, those skilled in the art should understand that the above description is a further detailed explanation of the invention in conjunction with specific embodiments, and should not be construed as limiting the specific implementation of the invention to these descriptions. Various changes in form and detail can be made by those skilled in the art, including several simple deductions or substitutions, without departing from the spirit and scope of the invention.

Claims

1. A method for manufacturing a connecting device for a wooden structure, characterized in that, The connecting device for the wooden structure includes a first connecting part, a second connecting part, and an intermediate damping part disposed between the first connecting part and the second connecting part; wherein, the intermediate damping part includes two connecting plates arranged opposite each other, a first damping component, a second damping component, and a third damping component, the first damping component, the second damping component, and the third damping component are all fixedly disposed between the two connecting plates, the first damping component includes a first damping plate and a second damping plate stacked together, the second damping component includes an energy-absorbing component, and the third damping component includes a deformation recovery component; and The manufacturing method includes: Obtain the target seismic resistance conditions of the connecting device, and determine the processing attributes of each damping component according to the target seismic resistance conditions; The first optimization algorithm is used to perform initial optimization processing on the processing parameters corresponding to the processing attributes of each vibration damping component to obtain the initial processing parameters corresponding to each vibration damping component; including: An optimization objective function is established for each of the vibration damping components based on the processing parameters and energy absorption parameters corresponding to each component. The optimization constraints for each damping component are determined based on the parameter limitations and usage limitations of each damping component. Based on the optimization objective function and optimization constraints corresponding to each vibration damping component, the processing parameters of each vibration damping component are optimized using a genetic optimization algorithm to obtain the initial processing parameters corresponding to each vibration damping component. The second optimization algorithm is used to comprehensively optimize all the initial processing parameters corresponding to all the vibration damping components to obtain the target processing parameters for each vibration damping component; including: The second optimization algorithm is used to comprehensively optimize all the initial processing parameters corresponding to all the vibration damping components to obtain the target processing parameters for each vibration damping component, including: The design parameters of the connecting device are determined based on all the initial processing parameters, and the optimization objective function of the connecting device is established based on the design parameters, the energy absorption parameters and strength parameters of the connecting device. The optimal constraints of the connection device are determined based on the physical and performance limitations of the connection device's parameters. Based on the optimization objective function and optimization constraints corresponding to the connecting device, the initial processing parameters are optimized using a genetic optimization algorithm to obtain the target processing parameters; Produce the corresponding shock-absorbing component according to the target processing parameters of each shock-absorbing component; The first damping component, the second damping component, and the third damping component are fixedly connected to the two connecting plates, and the two connecting plates are respectively assembled with the first connecting part and the second connecting part to form the connecting device; wherein The first damping plate is made of steel plate, the second damping plate is made of rubber, the energy absorbing component is made of hydraulic damper, and the deformation recovery component is made of shape memory alloy cable. The processing parameters of the first damping component include the stiffness of the steel plate, the stiffness of the rubber, and the damping coefficient of the rubber. The energy absorption parameters of the first damping component include the total energy absorbed by the first damping component. The processing parameters of the second damping component include the damping coefficient and piston area of ​​the hydraulic damper, and the energy absorption parameters of the second damping component include the total energy absorbed by the hydraulic damper. The processing parameters of the third damping component include the stiffness and maximum deformation of the shape memory alloy cable; the energy absorption parameters of the third damping component include the maximum restoring force of the third damping component. An optimization objective function is established for each vibration damping component based on its processing parameters and energy absorption parameters, including: The optimization objective function of the first damping component is determined based on the stiffness of the steel plate, the stiffness of the rubber, the damping coefficient of the rubber, and the total absorbed energy of the first damping component. The optimization objective function of the second damping component is determined based on the damping coefficient of the hydraulic damper, the piston area of ​​the hydraulic damper, and the total absorbed energy of the hydraulic damper. The optimization objective function of the third damping component is determined based on the stiffness of the shape memory alloy cable, the maximum deformation of the shape memory alloy cable, and the maximum restoring force of the third damping component.

2. The method for manufacturing the connecting device for a wooden structure as described in claim 1, characterized in that, The target seismic resistance conditions include quality requirements, stiffness requirements, and energy absorption requirements; the processing attributes include the manufacturing materials. The processing attributes of each damping component are determined according to the target seismic resistance conditions, including: The quality requirements, stiffness requirements, and energy absorption requirements are decomposed into the quality target, stiffness target, and energy absorption target corresponding to each of the vibration damping components; The manufacturing material of each damping component is determined according to the mass target, stiffness target and energy absorption target corresponding to each damping component.

3. The method for manufacturing the connecting device for a wooden structure as described in claim 2, characterized in that, The objective function for optimizing the first damping component is: in, Let be the objective function for optimizing the first damping component. The total energy absorbed by the first damping component is calculated based on the force and deformation rate of the steel plate and the rubber, and the unit is J. The stiffness of the steel plate is given by [reference to a specific value]. Let be the stiffness of the rubber. The damping coefficient of the rubber is expressed in N·s / m. All are weighting coefficients; The objective function for optimizing the second damping component is: in, Let be the objective function for optimizing the second damping component. The total energy absorbed by the hydraulic damper is calculated based on the damping force and piston speed of the hydraulic damper. The damping coefficient of the hydraulic damper is... Let be the piston area of ​​the hydraulic damper. All are weighting coefficients; The objective function for optimizing the third damping component is: in, The objective function for optimizing the third damping component is... The maximum restoring force is calculated based on the stiffness and maximum deformation of the shape memory alloy cable. The stiffness of the shape memory alloy cable is... This represents the maximum deformation of the shape memory alloy cable. All are weighting coefficients.

4. The method for manufacturing the connecting device for a wooden structure as described in claim 3, characterized in that, The parameter limitations of the first damping component include the maximum stiffness of the steel plate, the maximum stiffness of the rubber, and the maximum damping coefficient of the rubber. The usage limitations of the first damping component include the minimum energy absorption value. The parameter limitations of the second damping component include the maximum permissible damping coefficient of the hydraulic damper and the maximum piston area of ​​the hydraulic damper. The usage limitations of the second damping component include the maximum force change rate of the hydraulic damper. The parameter limitations of the third damping component include the maximum allowable deformation of the shape memory alloy cable, the maximum restoring force that the shape memory alloy cable can provide, and the minimum restoring force that the shape memory alloy cable can provide. The usage limitations of the third damping component include the maximum deformation recovery time of the shape memory alloy cable. and The optimization constraints for each damping component are determined based on the parameter limitations and usage limitations of each component, including: The optimal constraint conditions for the first damping component are determined based on the maximum stiffness of the steel plate, the maximum stiffness of the rubber, the maximum damping coefficient of the rubber, and the minimum absorbed energy; wherein, the optimal constraint conditions for the first damping component are: in, The stiffness of the steel plate is given by [reference to a specific value]. The maximum stiffness of the steel plate is given. Let be the stiffness of the rubber. This represents the maximum stiffness of the rubber. Let be the damping coefficient of the rubber. This is the maximum damping coefficient of the rubber. This represents the total energy absorbed by the first damping component. This is the minimum value of the absorbed energy; The optimal constraint conditions for the second damping component are determined based on the maximum permissible damping coefficient, the maximum piston area, and the maximum force change rate of the hydraulic damper; wherein, the optimal constraint conditions for the second damping component are: in, The damping coefficient of the hydraulic damper is... This is the maximum permissible damping coefficient of the hydraulic damper. Let be the piston area of ​​the hydraulic damper. The maximum piston area of ​​the hydraulic damper. The damping force of the hydraulic damper; The optimization constraints of the third damping component are determined based on the maximum allowable deformation of the shape memory alloy cable, the maximum restoring force that the shape memory alloy cable can provide, the minimum restoring force that the shape memory alloy cable can provide, and the maximum deformation recovery time of the shape memory alloy cable. The optimization constraints of the third damping component are as follows: in, The maximum deformation of the shape memory alloy cable is given. This represents the maximum allowable deformation of the shape memory alloy cable. The maximum value of the restoring force. The maximum restoring force that the shape memory alloy cable can provide. To minimize the restoring force, The minimum restoring force that shape memory alloy cables can provide. The time required for the shape memory alloy cable to recover from post-earthquake deformation to its initial state. The maximum recovery time of the shape memory alloy cable is given.

5. The method for manufacturing the connecting device for a wooden structure as described in claim 4, characterized in that, The initial processing parameters corresponding to the first damping component include the initial optimal value of the stiffness of the steel plate, the initial optimal value of the stiffness of the rubber, and the initial optimal value of the damping coefficient of the rubber. The initial processing parameters corresponding to the second damping component include the initial optimal value of the damping coefficient of the hydraulic damper and the initial optimal value of the piston area of ​​the hydraulic damper; The initial processing parameters corresponding to the third damping component include the initial optimal value of the stiffness of the shape memory alloy cable and the initial optimal value of the maximum deformation of the shape memory alloy cable. The processing parameters of each vibration damping component are optimized to obtain the initial processing parameters corresponding to each vibration damping component, including: A set of processing parameters corresponding to the first damping component is provided. The objective function value corresponding to the set of processing parameters of the first damping component is calculated and the objective function value is used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. A new combination of processing parameters corresponding to the first damping component is generated through crossover and mutation. When the optimization reaches the preset convergence condition, the initial optimal value of the stiffness of the steel plate, the initial optimal value of the stiffness of the rubber, and the initial optimal value of the damping coefficient of the rubber are output. A set of processing parameters corresponding to the second damping component is provided. The objective function value corresponding to this set of processing parameters is calculated, and the objective function value is used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. New combinations of processing parameters corresponding to the second damping component are generated through crossover and mutation. When the optimization reaches the preset convergence condition, the initial optimal value of the damping coefficient and the initial optimal value of the piston area of ​​the hydraulic damper are output. A set of processing parameters corresponding to the third damping component is provided. The objective function value corresponding to the set of processing parameters of the third damping component is calculated and the objective function value is used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. Through crossover and mutation, a new combination of processing parameters corresponding to the third damping component is generated. When the optimization reaches the preset convergence condition, the initial optimal value of the stiffness of the shape memory alloy cable and the initial optimal value of the maximum deformation of the shape memory alloy cable are output.

6. The method for manufacturing the connecting device for a wooden structure as described in claim 5, characterized in that, After outputting the initial optimal value of the damping coefficient and the initial optimal value of the piston area of ​​the hydraulic damper, the method further includes: The system stiffness of the hydraulic damper is optimized based on the system response equation of the hydraulic damper, the velocity of the hydraulic damper, and the structural acceleration of the hydraulic damper. Calculate the equivalent damping ratio of the hydraulic damper, and verify the parameters of the second shock absorber component based on the comparison result of the equivalent damping ratio and the preset damping range.

7. The method for manufacturing the connecting device for a wooden structure as described in claim 6, characterized in that, The energy absorption parameters of the connecting device include the energy absorption parameters of the first damping component and the second damping component; The strength parameters of the connecting device include the design strength of the steel plate, the rubber, the hydraulic damper, and the shape memory alloy cable; The optimization objective function of the connecting device is calculated according to the following formula: in, The energy absorption parameters of the connecting device are as follows. The strength parameter of the connecting device, These are the design parameters for the connecting device. The restoring force of the third damping component, All are weighting coefficients; and The optimization constraints for the connecting device are: in, This represents the minimum energy absorbed by the second damping component. The minimum restoring force of the third damping component. This represents the maximum vibration displacement. Maximum vibration displacement limit; and Optimize all the initial machining parameters to obtain the target machining parameters, including: A set of initial processing parameters is provided, the objective function value corresponding to the set of initial processing parameters is calculated and the objective function value is used as the fitness. Based on the fitness, excellent individuals are selected to enter the next generation. New combinations of initial processing parameters are generated through crossover and mutation. The target processing parameters are output when the optimization reaches the preset convergence condition or the preset number of iterations.

8. A method for manufacturing a connecting device for a wooden structure as described in any one of claims 1-7, characterized in that, After obtaining the target processing parameters corresponding to each of the vibration damping components, the process further includes: The validity of the target processing parameters is verified using a verification model. If the verification fails, the processing parameters of each damping component are re-optimized to obtain new target processing parameters for each damping component.

9. A connecting device for a wooden structure, characterized in that, The connecting device for the wooden structure is manufactured by the method for manufacturing a connecting device for a wooden structure as described in any one of claims 1-8.

10. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method for manufacturing a connecting device for a wooden structure as described in any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method for manufacturing a connecting device for a wooden structure as described in any one of claims 1-8.

12. A computer program product, characterized in that, The system includes a computer program that, when executed by a processor, implements a method for manufacturing a connecting device for a wooden structure as described in any one of claims 1-8.

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