Intelligent anti-seismic structure optimization design method and system for high-rise building

Abstract

The invention discloses an intelligent anti-seismic structure optimization design method and system for a high-rise building, and relates to the technical field of anti-seismic design of the high-rise building. A working condition database considering multidirectional seismic oscillation and soil-structure interaction is established in combination with seismic oscillation time history and site investigation parameters; constructing a structure model on the BIM platform, and importing frequency characteristics and load to generate a preliminary design; an inter-story displacement angle, a story acceleration, a plastic rotation angle and an energy dissipation ratio index are set in the model, an anti-seismic performance comprehensive function is constructed, constraints are set according to a standard limit value, the structure model is converted into an optimizable problem, and optimal design is achieved by iteratively calling a working condition database and automatically correcting key component parameters and damping arrangement. According to the method disclosed by the invention, the structural optimization design of the high-rise building under the multidirectional earthquake action is realized by establishing an earthquake working condition database and parameterizing structural modeling and performance function constraint.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of high-rise building seismic design, in particular to an intelligent seismic structure optimization design method and system for high-rise buildings. BACKGROUND

[0002] In recent years, with the rapid advancement of urbanization, the number of high-rise buildings continues to grow, and their seismic design methods have been continuously researched and improved. Early seismic design of high-rise buildings was mainly based on static analysis and the response spectrum method given by the specification, but it was difficult to accurately reflect the non-stationarity and site effects of ground motion. Subsequently, time-history analysis-based seismic design gradually became popular, and soil-structure interaction (SSI) models were introduced to improve the prediction accuracy of dynamic response. At the same time, the application of BIM technology and parametric modeling methods enables the integration of building geometric information, material properties, and load conditions on the same platform, thereby realizing the automation process from data input to model construction. In recent years, intelligent optimization algorithms and multi-objective decision-making methods have been gradually applied to seismic structure design, enabling the design scheme to seek a comprehensive balance between safety, economy, and constructability.

[0003] Although existing methods have made some progress in seismic design, there are still obvious deficiencies. First, existing seismic working condition modeling is mostly limited to single-direction ground motion or simplified seismic input, making it difficult to fully reflect the impact of multi-directional coupled ground motion on high-rise buildings, especially lacking a mechanism to deeply integrate SSI effects as input data and structural models. Second, although existing structural modeling methods can achieve parametric modeling with the help of BIM technology, most researches remain at the level of geometric and load description, failing to introduce frequency characteristics and seismic working condition databases in the preliminary modeling stage, resulting in deviations between the model and the actual dynamic environment. Third, existing performance evaluation systems are mostly based on single or scattered indicators, lacking a unified seismic performance comprehensive function, making it difficult to quantitatively and discriminately evaluate inter-story drift angle, floor acceleration, member ductility, and energy dissipation characteristics, resulting in a lack of clear convergence targets in the optimization process. Finally, existing optimization methods often only focus on single targets or local solution improvements, failing to form an iterative mechanism combining global search and dynamic adjustment, and also lacking a step of matrix comparison and visual display of multiple schemes after optimization. SUMMARY

[0004] In view of the above problems, the present application is proposed.

[0005] Therefore, the technical problem solved by this invention is that existing seismic design methods for high-rise buildings have problems such as incomplete seismic condition modeling, difficulty in accurately considering SSI effects, failure to deeply integrate frequency characteristics and dynamic input in the structural modeling stage, lack of a unified comprehensive function in the performance evaluation system, and how to achieve iterative updates of structural parameters and output multi-scheme evaluation results through intelligent optimization algorithms.

[0006] To address the aforementioned technical problems, this invention provides the following technical solution: an intelligent seismic structural optimization design method for high-rise buildings, comprising: acquiring seismic intensity zoning, site category, and fault distribution information of the high-rise building area; constructing a seismic condition input model by combining seismic network data and historical ground motion time histories; obtaining soil shear wave velocity, foundation bearing capacity, and amplification effect parameters through site surveys; forming a database considering multi-directional ground motion and soil-structure interaction; constructing a structural model in a BIM platform; importing frequency characteristics and load inputs from the seismic condition database to generate a preliminary design solution; and defining inter-story drift angle, story acceleration, and component plastic transformation parameters in the structural model. The system calculates seismic angle and energy dissipation ratio indices and constructs a comprehensive seismic performance function. Constraints are established using code limits and design boundaries. The parametric structural model is transformed into an optimizable problem for global search and local adjustment. In each iteration, the system updates the dynamic input by calling the working condition database and automatically corrects beam and column sections, shear wall thickness, core tube reinforcement, and damper arrangement in the structural model. After optimization, dynamic response simulations are performed on candidate schemes. The simulation results are compared with the performance index system, and a multi-scheme performance matrix is ​​generated. By comparing the performance of different design solutions in terms of displacement, acceleration, ductility, and energy dissipation using the multi-scheme performance matrix, the optimal and second-best design schemes are output.

[0007] As a preferred embodiment of the intelligent seismic structural optimization design method for high-rise buildings described in this invention, the seismic condition input model includes using the Kanai–Tajimi model to describe the seismic power spectral density, using the Lysmer–Kuhlemeyer model to determine the initial coefficient of foundation radiation damping, and incorporating the site shear wave velocity, overburden thickness, and liquefaction discrimination results into the soil-structure interaction analysis.

[0008] As a preferred embodiment of the intelligent seismic structural optimization design method for high-rise buildings described in this invention, the structural model constructed in the BIM platform includes beams, columns, shear walls, core tubes, foundation rafts, and damping devices; the damping devices are modeled parametrically using fractional-order energy dissipators.

[0009] As a preferred scheme of the intelligent anti-seismic structure optimization design method for high-rise buildings, the anti-seismic performance comprehensive function includes the inter-story drift angle, the top acceleration, the component plastic rotation angle and the energy dissipation ratio; the energy dissipation ratio is output by the ratio of the seismic input energy to the energy dissipation energy.

[0010] As a preferred scheme of the intelligent anti-seismic structure optimization design method for high-rise buildings, the specification limit and the design boundary include the inter-story drift angle limit, the top acceleration limit, the component limit plastic rotation angle and the minimum energy dissipation ratio.

[0011] As a preferred scheme of the intelligent anti-seismic structure optimization design method for high-rise buildings, the global search and the local adjustment include calling the seismic working condition database to update the dynamic input each time, and automatically correcting the beam column section size, the shear wall thickness, the core tube reinforcement ratio and the damper arrangement position and quantity according to the updated dynamic response result, so that a parameterized iteration process converging gradually is formed.

[0012] As a preferred scheme of the intelligent anti-seismic structure optimization design method for high-rise buildings, the multi-scheme performance matrix includes performing dynamic response analysis on the candidate scheme based on different seismic working conditions, and generating a multi-scheme performance matrix including the inter-story drift angle, the top acceleration, the component plastic rotation angle and the energy dissipation ratio.

[0013] Another object of the present application is to provide an intelligent anti-seismic structure optimization design system for high-rise buildings, which can solve the problem that the current high-rise building anti-seismic design method fails to deeply combine the frequency characteristics and the dynamic input in the structure modeling stage by defining the inter-story drift angle, the floor acceleration, the component plastic rotation angle and the energy dissipation ratio indicators in the structure model, and constructing an anti-seismic performance comprehensive function.

[0014] As a preferred scheme of the intelligent anti-seismic structure optimization design system for high-rise buildings, it includes a seismic working condition modeling module, a structure modeling and performance constraint module and an optimization iteration and result evaluation module; the seismic working condition modeling module is used to collect the regional seismic motion, the site survey and the soil-structure interaction parameters, establish a multi-directional seismic working condition database and form the input conditions; the structure modeling and performance constraint module is used to construct a high-rise building parameterized model on a BIM platform, import the load and the seismic working condition, define the inter-story drift angle, the acceleration, the plastic rotation angle and the energy dissipation ratio performance indicators, and set the specification limit and the design constraint condition; the optimization iteration and result evaluation module is used to adjust the structure parameters through an intelligent optimization algorithm, generate a candidate scheme and perform multi-working condition dynamic simulation, construct a multi-scheme performance matrix, compare different schemes and screen the optimal and suboptimal design schemes.

[0015] A computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement steps of an intelligent anti-seismic structure optimization design method for high-rise buildings.

[0016] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement steps of an intelligent anti-seismic structure optimization design method for high-rise buildings.

[0017] The intelligent anti-seismic structure optimization design method for high-rise buildings provided by the present application realizes the pre-integration of multi-directional seismic input, site amplification effect and foundation dynamic characteristics by establishing a regional seismic working condition modeling and soil-structure interaction database, thereby ensuring that the input used for structure modeling is closer to the actual seismic environment. On this basis, a parameterized high-rise building model is constructed using a BIM platform, and the frequency characteristics and load input in the working condition database are imported into the model, so that the geometric information, material properties and dynamic boundary conditions are kept in synchronous coupling. At the same time, by defining indexes such as inter-story drift angle, floor acceleration, plastic rotation angle and energy dissipation ratio, a unified seismic performance comprehensive function is constructed, and constraint conditions are set in combination with specification limits, thereby converting complex seismic performance requirements into calculable optimization objectives. Further, the structure model is converted into a multi-objective optimization problem, and by using a method combining global search and local iteration, the working condition database is called to update the dynamic input in each round of calculation, and the beam-column section, shear wall thickness, core tube reinforcement and damping arrangement are automatically corrected, thereby realizing dynamic convergence and precise control of the structure parameters. Finally, after the optimization is completed, multi-working condition dynamic simulation and performance index comparison are performed on the candidate schemes, a multi-dimensional performance matrix is established, and the performance of different design solutions in terms of displacement, acceleration, ductility and energy dissipation is compared, thereby providing optimal and suboptimal schemes. In summary, the present application constructs a complete design process covering seismic input modeling, structure parameterized modeling, performance index constraint, optimization iteration and result evaluation, thereby ensuring the scientificity and systematicness of the design process. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0019] Figure 1 The overall flowchart of the intelligent anti-seismic structure optimization design method for high-rise buildings provided by the first embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present application.

[0021] Embodiment 1, refer to Figure 1 For an embodiment of the present application, an intelligent anti-seismic structure optimization design method for high-rise buildings is provided, comprising: S1: Obtain the seismic intensity zoning, site classification and fault distribution information of the high-rise building area, combine the seismic network and historical ground motion time history to construct the seismic working condition input model, and obtain the soil shear wave velocity, foundation bearing capacity and amplification effect parameters through site investigation to form a database considering multi-directional ground motion and soil-structure interaction, construct a structure model in the BIM platform, and import the frequency characteristics and load input in the seismic working condition database to generate a preliminary design solution.

[0022] Further, first, according to the seismic intensity zoning map, site classification distribution map and active fault distribution data of the target high-rise building area, the seismic risk level of the region is determined, and the acceleration time history and response spectrum matched with the building position are obtained by combining the historical ground motion measured records of the national seismic network and the local monitoring center. Then, engineering geological investigation is carried out on the site, and key parameters such as overburden thickness, soil shear wave velocity, foundation bearing capacity and liquefaction discrimination are collected, and then the site amplification effect coefficient and foundation dynamic characteristics are established. In order to include the dynamic effect of soil-structure interaction (SSI) in the working condition modeling stage, based on the ground motion power spectrum and foundation impedance model, an improved SSI frequency domain solving formula is proposed for calculating the average interlayer displacement angle evaluation quantity of the target layer, so as to provide accurate input for subsequent structure modeling and seismic performance constraints.

[0023] Specifically, first, the Kanai-Tajimi model is introduced to describe the ground motion power spectrum density:

[0024] At the same time, the Lysmer-Kuhlemeyer model is used to give the initial coefficient of foundation radiation damping:

[0025] On this basis, it is improved to a frequency-dependent SSI unified solving formula:

[0026] Where the transfer function is The upper structure dynamic stiffness , the foundation-soil complex impedance , and the base-site input filter kernel together constitute:

[0027] The upper structure dynamic stiffness incorporates the dispersion characteristics of fractional order energy dissipation devices:

[0028] The foundation-soil complex impedance incorporates stiffness hardening, radiation damping dispersion, and added mass effects:

[0029] The base-site input filter kernel characterizes the high-frequency roll-off:

[0030] where, is the ground motion power spectral density, is the circular frequency, is the bedrock white-noise amplitude scaling factor, is the site predominant frequency, is the site equivalent damping ratio, is the radiation damping approximation coefficient, is the soil density, is the soil shear wave velocity, is the base equivalent sheared area, is the spectral-domain average inter-story drift angle measure, is the target layer height, is the frequency-domain transfer function input to the target layer, is the base and site input filter kernel, is the upper structure dynamic stiffness, is the foundation complex impedance, is the upper structure initial stiffness, is the upper structure loss factor, is the upper structure equivalent mass, is the upper structure viscous damping, is the fractional order energy dissipation device stiffness coefficient, is the fractional order energy dissipation device characteristic time constant, is the fractional order energy dissipation device order, is the foundation static stiffness, is the foundation stiffness hardening frequency, is the stiffness hardening order, is the imaginary unit, is the foundation radiation damping reference coefficient, is the damping dispersion growth coefficient, for damping growth turning frequency, for radiation added mass asymptotic value, for radiation added mass low frequency turning frequency, for input filter time constant.

[0031] When , it indicates that the structural response is in the elastic range, and the safety margin is sufficient; when , it indicates that it is close to the specification limit, and local structure needs to be concerned; when , it indicates that it enters the yield front, and the response should be reduced by increasing the structural stiffness or adding energy dissipation devices; when , it indicates that significant nonlinear response may occur, and the structure arrangement, material and seismic mitigation measures need to be optimized comprehensively.

[0032] It should be noted that after completing the regional seismic working condition modeling and SSI analysis database construction, this step first models the overall structural system of the high-rise building based on the BIM platform. The model needs to include key components such as beams, columns, shear walls, core walls, foundation raft and damping devices, and according to the output seismic power spectrum, site amplification coefficient and soil-structure interaction transfer function , these frequency domain parameters are imported in the modeling stage to ensure that the dynamic characteristics of the structural model can truly reflect the response under the foundation-soil conditions. For the geometric information of the high-rise building, the present invention sets the story height, bay, plan arrangement and height-width ratio through the parameterization method, combined with the load input set (dead load, constant load, live load and wind load), to form an initial structure design solution that can be iteratively updated, laying the foundation for subsequent performance optimization.

[0033] In this parameterized model, the component stiffness, damping and mass distribution of the upper structure need to be connected through the equivalent method and the frequency domain dynamic stiffness . For example, the equivalent stiffness of beam-column joints and shear walls needs to be corrected according to the dynamic amplification effect under seismic action, and the viscous damper and fractional order energy dissipation device are directly substituted into the calibrated parameters of the energy dissipation function , so as to ensure that the parameters in the preliminary design stage not only meet the static requirements of the specification, but also can connect the energy dissipation capacity obtained from the frequency domain calculation. At the same time, for the arrangement scheme of the core wall and the outer frame, the present invention uses the modal condensation method to simplify the structure, so that its dynamic characteristics can be dominated by the low-order main mode, and then it is convenient to establish a direct mapping relationship with the output transfer function .

[0034] After the above preliminary modeling is completed, the present application further constructs a multi-objective constraint system. The constraint conditions include not only seismic performance indicators such as inter-story drift angle, top acceleration and member plastic rotation, but also construction feasibility, material consumption and economy as constraint boundaries. In this process, the present application particularly emphasizes the "model-working condition integration" principle: that is, all structural design parameters need to be iteratively corrected under the call of the regionalized working condition database to ensure the closed-loop coupling between the dynamic input of the model, the soil-structure interaction characteristics and the structural response. In this way, a parameterized preliminary design system highly integrated with the working condition model is formed.

[0035] S2: Define the inter-story drift angle, floor acceleration, member plastic rotation and energy dissipation ratio indicators in the structural model, construct a comprehensive seismic performance function, establish constraint conditions through the specification limit and design boundary, convert the parameterized structural model into an optimization problem for global search and local adjustment, call the working condition database to update the dynamic input in each iteration, and automatically correct the beam column section, shear wall thickness, core tube reinforcement and damper arrangement in the structural model.

[0036] Further, after the completed parameterized modeling and preliminary design, this step is based on the obtained regional seismic working condition database and SSI transfer function to establish a multi-level seismic performance indicator system for high-rise buildings, and on this basis to construct multi-dimensional constraint conditions. The core of the performance indicators is the quantified indicators such as inter-story drift angle, floor acceleration response, member plastic rotation and overall ductility of the structure, which can not only reflect the overall dynamic performance of the structure, but also reveal the local stress behavior of the key components. When establishing the indicator system, the present application combines the specification limit with the improved formula calculation, and quantitatively discriminates through a unified performance function, so as to realize the computability, comparability and optimization of the indicators.

[0037] Specifically, the present application defines a comprehensive seismic performance function:

[0038] Wherein, is the maximum inter-story drift, is the story height, is the top acceleration, is the gravity acceleration, is the plastic rotation of the key component, is the ultimate plastic rotation of the component, is the seismic input energy dissipation of the energy dissipation device, is the total seismic input energy; is the weight coefficient of the inter-story drift angle indicator, used to measure the importance of the inter-story drift in the comprehensive seismic performance function, and the numerical value is determined according to the design safety requirement and the specification limit; is the weight coefficient of floor acceleration index, which is used to reflect the influence of floor acceleration on the overall performance evaluation, and is usually set considering the comfort of personnel and the safety requirements of secondary structure; is the weight coefficient of plastic rotation angle index of component, which is used to represent the weight of the utilization degree of ductility of key component in the performance function, so as to ensure that the plastic development of the structure is controlled in a reasonable range; is the weight coefficient of energy dissipation ratio index, which is used to evaluate the ability of energy dissipation device or component to absorb seismic input energy, and reflects its contribution to the overall seismic toughness in the comprehensive function; and is coupled and calibrated with the output value and modal condensation parameter. In this function, the first two terms reflect the overall displacement and acceleration level of the structure, the third term reflects the ductility utilization degree of the local component, and the fourth term embodies the sufficiency of energy dissipation, so as to ensure the comprehensiveness of the evaluation system.

[0039] In terms of constraint conditions, the present application sets dual constraints based on specifications and optimization: first, it ensures that the inter-story drift angle is not more than , the vertex acceleration is not more than , the plastic rotation angle of key component is less than , and the energy dissipation ratio is not less than ; second, under the premise of meeting the seismic safety, the material consumption, construction difficulty and economic cost are controlled. The constraint conditions can be written as:

[0040] , wherein is the inter-story drift angle limit value specified in the specification (generally 1 / 100~1 / 200), is the acceleration limit value for human comfort and secondary structure safety control, is the lower limit value of energy dissipation ratio (usually not less than 0.2). Through the above constraint conditions, it is ensured that the design result not only meets the requirements of national seismic design specification, but also maintains the economic rationality of the structure scheme in the optimization iteration process.

[0041] In the value range and interpretation, when , it indicates that the structure is in a safe range; when , it indicates that it is close to a critical state and needs to be adjusted by an optimization algorithm; and when , it indicates that the design does not meet the seismic performance requirements and must be modified by changing the component arrangement or increasing the damping energy dissipation measures. In this way, the present application normalizes the complex multi-performance index into a single function , and assists in realizing quantitative discrimination with constraint conditions, so as to ensure the calculation and engineering landing of the technical scheme.

[0042] ​S3: After the optimization is completed, dynamic response simulation is performed on the candidate scheme, the dynamic response simulation result is compared with the performance index system, and a multi-scheme performance matrix is generated. The multi-scheme performance matrix is used to compare the performance of different design solutions in displacement, acceleration, ductility and energy dissipation, and an optimal and suboptimal design scheme is output.

[0043] Further, after the completed performance index system and constraint conditions are set, the step enters an intelligent optimization phase of the structural parameters. The core of the application is to convert the complex seismic design problem of a high-rise building into a solvable multi-objective optimization problem, and to perform global search and local correction through an intelligent iterative algorithm, so that a design scheme that achieves a comprehensive balance between safety, economy and construction feasibility is obtained.

[0044] In the optimization framework, the application first sets an optimization objective set, including minimizing the inter-story drift angle and the top acceleration of the structure under seismic working conditions, maximizing the energy dissipation capacity, reducing the probability of key components entering the plastic state, and controlling the total cost and material consumption. Subsequently, the application uses an improved swarm intelligence algorithm (such as differential evolution, genetic algorithm, ant colony optimization or particle swarm algorithm) as a solving tool. The swarm intelligence algorithm can search in parallel in a high-dimensional parameter space, avoid falling into a local optimum through a population update and adaptive mutation mechanism, so that the iterative adjustment of the structural parameters is more consistent with the nonlinear complexity of the engineering. At the same time, in order to ensure that the optimization process is consistent with the engineering practice, the application calls a seismic working condition database and an SSI model in each iteration, and uses the soil-structure interaction response under different frequencies as the calculation input, so as to ensure that the optimization not only holds under ideal conditions, but also truly reflects the influence of the site and the foundation on the dynamic performance of the building.

[0045] In the iterative execution process, each round of optimization solution is input into the parameterized model, and the beam column section, the shear wall thickness, the core tube reinforcement ratio, and the damper arrangement position and quantity are automatically updated. The updated model is called again to determine the performance index system, and when a solution simultaneously satisfies the constraint conditions of the inter-story drift angle, the top acceleration, the plastic rotation angle and the energy dissipation ratio, it is considered as a feasible solution; if the solution is better than the historical solution in the multi-objective function, it is recorded as the current optimal solution. In order to accelerate the convergence speed, the application introduces a dynamic adaptation mechanism in the iteration: when the algorithm cannot significantly improve the performance index in multiple iterations, the search range is expanded by adjusting the mutation probability or the crossover coefficient to avoid falling into a local optimum; and when approaching the convergence, the search step is gradually reduced to improve the precision of the solution, so that the final scheme has stronger engineering implementability.

[0046] In the optimization result output stage, the application not only provides a single optimal design solution, but also retains multiple suboptimal solutions and displays their differences in different seismic performance indicators through a visualization platform. Designers can select the most suitable scheme according to the actual engineering focus requirements (such as the pursuit of safety margin, the control of cost, or the limitation of construction period). In this way, the whole process of closed-loop iteration from the initial design to the optimal solution is realized, so that the seismic design of high-rise buildings is no longer dependent on experience or single specification calculation, but has the characteristics of intelligentization, systematization and sustainable optimization, thereby significantly improving the seismic resilience and overall engineering value of the structure.

[0047] It should be noted that after completing the optimization solution, this step enters the result evaluation and intelligent decision support link. The application not only verifies the optimal solution obtained by optimization in this stage, but also compares and analyzes multiple suboptimal solutions, thereby providing comprehensive reference for structural designers. Specifically, the application first re-enters the output candidate design scheme into the seismic working condition database, and through the calling of ground motion power spectrum, SSI model transfer function and site amplification effect parameters, dynamic response simulation is carried out in multiple working conditions and multiple frequency bands, to ensure that the optimization solution can maintain stable seismic performance under different seismic action combinations. This process covers the verification of core indicators such as inter-story drift angle, top acceleration, component plastic rotation, and energy dissipation ratio one by one, avoiding the situation that the optimization result is not available due to algorithm convergence deviation or local decoupling.

[0048] In the evaluation process, the application not only compares the numerical values of single indicators, but also compares the overall performance of different schemes through a comprehensive performance matrix. The performance matrix takes the established comprehensive performance function as the core, integrates displacement, acceleration, ductility and energy dissipation indicators, combines with optimization target weights, and forms a two-dimensional or three-dimensional visual performance space. In this way, designers can intuitively observe the balance between safety, economy and construction of different schemes. For example, although some suboptimal solutions are slightly inferior to the optimal solution in inter-story drift angle control, they have more advantages in material consumption and construction feasibility, and are more suitable for budget-constrained or construction-tight engineering environments.

[0049] Finally, the application outputs the evaluation results through the intelligent decision support platform. The platform integrates performance matrix, risk warning prompts and visual comparison interface, which can provide multi-level scheme selection basis for designers. Designers can not only directly adopt the optimal solution, but also select more robust or cost-optimal schemes according to the actual engineering requirements combined with the risk warning prompts of the platform (such as automatically prompting possible safety hazards when the energy dissipation ratio of a scheme approaches the critical value). In this way, it ensures that the optimization results can be truly applied, and realizes the full closed-loop seismic structure design process from data acquisition, model construction, performance constraints, optimization iteration to result evaluation. The final output of the application is not only a single calculation result, but also an intelligent decision support system with engineering guiding significance, making the seismic design of high-rise buildings more scientific, flexible and practical.

[0050] In embodiment 2, an embodiment of the application provides an intelligent seismic structure optimization design method for high-rise buildings. In order to verify the beneficial effects of the application, economic benefit calculation and simulation experiments are carried out for scientific demonstration.

[0051] Firstly, this experiment takes a high-rise office building with 48 floors and a total height of about 168 meters as the object, and the structure system adopts the core tube-outer frame hybrid force mode. The seismic fortification intensity of the building site is Ⅷ degree, the site type is soft clay layer, Vs30 is about 280 m / s, and there is near-field fault influence. The experiment first collects seismic intensity zoning, site classification and fault distribution information, combines with the seismic motion record and historical seismic time history of the network, establishes the seismic working condition input model, and obtains the thickness of the overburden layer, the bearing capacity of the foundation and the liquefaction discrimination result through investigation, and determines the site amplification coefficient. Based on these data, a regionalized seismic working condition database considering multi-directional seismic motion and soil-structure interaction (SSI) is formed.

[0052] Subsequently, a parameterized model of the high-rise building is constructed in the BIM platform, which includes beams, columns, shear walls, core tubes, foundation rafts and reserved damper arrangement positions. The reference scheme is designed according to the specification response spectrum, serving as a control. Another type of scheme does not consider SSI, considering the foundation as a fixed end, forming an "SSI not considered" comparison model. The third type of scheme introduces site flexibility and radiation damping parameters to generate an "SSI input considered" model to reflect the true soil-structure dynamic coupling effect. On this basis, different improvement paths are further proposed to address performance deficiencies, including configuring viscous dampers at several floors ("add damper" scheme), tuning through increasing core tube stiffness and reinforcement ratio ("core tube tuning" scheme), combining multiple improvement measures to form a comprehensive optimization model ("comprehensive optimization" scheme), and a "cost priority" model oriented to material and cost control.

[0053] Under each scheme, the maximum inter-story drift angle, roof acceleration, plastic hinge number and energy dissipation ratio are defined and extracted, and combined with the material quantities and cost indicators for quantitative recording. Each scheme is based on the same seismic input database for multi-direction and multi-time dynamic response simulation to ensure the comparability of the results. Finally, a multi-scheme performance matrix as shown in the table is formed to compare the response characteristics and design parameter differences of different schemes.

[0054] Table 1 Experimental data table

[0055] As can be seen from the table results, the maximum inter-story drift angle of the benchmark scheme under the guidance of the specification is 1.80%, the roof acceleration is 4.8m / s², the plastic hinge number is 42, and the energy dissipation ratio is 0.18. If SSI is not considered, the inter-story drift angle increases to 2.10%, the roof acceleration rises to 5.2m / s², the plastic hinge number increases to 58, and the energy dissipation ratio decreases to 0.15, indicating that ignoring SSI will significantly underestimate the adverse effects of soil flexibility on structural response. In comparison, after considering SSI input, the maximum inter-story drift angle decreases to 1.65%, the roof acceleration decreases to 4.5m / s², the plastic hinge number decreases to 35, and the energy dissipation ratio increases to 0.21, and only slight adjustments to the column section and shear wall thickness are needed, indicating that introducing SSI at the initial design stage can effectively correct response prediction.

[0056] In the improvement path, the "increase damper" scheme performs outstandingly, with the maximum inter-story drift angle reduced to 1.25%, the roof acceleration reduced to 3.9m / s², the plastic hinge number reduced to 22, and the energy dissipation ratio significantly increased to 0.32, showing the effectiveness of dampers in shock absorption and energy dissipation. The "core tube tuning" scheme increases the core tube reinforcement ratio to 2.8% and the shear wall thickness to 340mm, with the maximum inter-story drift angle of 1.30%, the roof acceleration of 4.1m / s², the plastic hinge number of 25, and the energy dissipation ratio of 0.28. This scheme has a significant effect on the overall stiffness of the structure, but the steel and concrete consumption increases significantly, and the cost also increases to 560 million yuan.

[0057] The "comprehensive optimization" scheme combines SSI input, damper configuration and core tuning measures, further reduces the maximum inter-story drift angle to 1.05%, reduces the roof acceleration to 3.5 m / s<2>, the number of plastic hinges is only 15, and the energy dissipation ratio is increased to 0.40. The comprehensive performance is better than all other schemes, and the material and cost are controlled within a reasonable range, which shows that the multi-parameter joint optimization has significant advantages. The "cost priority" scheme reduces the steel to 3520t and the concrete to 27900m<3> while maintaining basic safety, and the cost is controlled at 510 million yuan. The maximum inter-story drift angle is 1.20%, the roof acceleration is 3.8 m / s<2>, the number of plastic hinges is 20, and the energy dissipation ratio is 0.30, which shows that the scheme is suitable for projects with cost constraints.

[0058] From the above analysis, it can be seen that the introduction of SSI modeling can effectively improve the accuracy of dynamic response prediction. Viscous damper configuration and core tuning have advantages in controlling different performance indicators. The comprehensive optimization scheme can achieve the optimal balance in displacement control, acceleration suppression, ductility utilization and energy dissipation, showing the creativity and novelty of the method in seismic design.

[0059] In embodiment 3, an embodiment of the present application provides an intelligent seismic structure optimization design system for high-rise buildings, which comprises a seismic working condition modeling module, a structure modeling and performance constraint module, and an optimization iteration and result evaluation module.

[0060] The seismic working condition modeling module is used to collect regional seismic motion, site investigation and soil-structure interaction parameters, establish a multi-directional seismic working condition database and form input conditions. The structure modeling and performance constraint module is used to build a parameterized model of a high-rise building on a BIM platform, import loads and seismic working conditions, define inter-story drift angle, acceleration, plastic rotation, energy dissipation ratio performance indicators, and set specification limits and design constraint conditions. The optimization iteration and result evaluation module is used to adjust structure parameters through intelligent optimization algorithms, generate candidate schemes and perform multi-working condition dynamic simulation, construct a multi-scheme performance matrix, compare different schemes and select optimal and sub-optimal design schemes.

[0061] If the functions are implemented in software, the functions can be stored in or implemented as one or more instructions or code on a computer-readable medium. Computer-readable media include both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage medium can be any available medium that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, or twisted pair, then the coaxial cable, fiber optic cable, or twisted pair are included in the definition of medium. Disk and disc, as used herein, include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), and Blu-Ray® disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0062] In other words, like a human driver of a vehicle, the autonomous vehicle 100 can be programmed to follow traffic laws and rules of the road, and to make decisions based on its programming and the information it receives from its sensors and other sources. The autonomous vehicle 100 can also be programmed to make decisions based on its programming and the information it receives from its sensors and other sources, even if those decisions are not in accordance with traffic laws and rules of the road. For example, the autonomous vehicle 100 can be programmed to avoid a collision with another vehicle, even if doing so would violate a traffic law or rule of the road.

[0063] In other words, like a human driver of a vehicle, the autonomous vehicle 100 can be programmed to follow traffic laws and rules of the road, and to make decisions based on its programming and the information it receives from its sensors and other sources. The autonomous vehicle 100 can also be programmed to make decisions based on its programming and the information it receives from its sensors and other sources, even if those decisions are not in accordance with traffic laws and rules of the road. For example, the autonomous vehicle 100 can be programmed to avoid a collision with another vehicle, even if doing so would violate a traffic law or rule of the road.

[0064] It should be understood that portions of the present application can be implemented with hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented with software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, implementation can be with any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be understood that the foregoing embodiments are merely illustrative of the present application and are not to be used to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, it will be apparent to those skilled in the art that various changes and modifications can be contributed to the present application without departing from the spirit and scope of the present application, and such changes and modifications should be encompassed within the scope of the appended claims.

[0065] It should be understood that the foregoing embodiments are merely illustrative of the present application and are not to be used to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, it will be apparent to those skilled in the art that various changes and modifications can be contributed to the present application without departing from the spirit and scope of the present application, and such changes and modifications should be encompassed within the scope of the appended claims.

Claims

1. A method for optimizing the design of an intelligent anti-seismic structure for high-rise buildings, characterized in that, The method comprises the following steps: Obtain the seismic intensity zoning, site classification and fault distribution information of the high-rise building area, combine the seismic network and historical ground motion time history to construct a seismic working condition input model, and obtain the soil shear wave velocity, foundation bearing capacity and amplification effect parameters through site investigation to form a database considering multi-directional ground motion and soil-structure interaction, construct a structure model in the BIM platform, and input the frequency characteristics and load input in the seismic working condition database to generate a preliminary design solution; Define the inter-story drift angle, floor acceleration, member plastic rotation and energy dissipation ratio index in the structure model, construct an anti-seismic performance comprehensive function, establish constraint conditions through the specification limit and design boundary, convert the parameterized structure model into an optimization problem for global search and local adjustment, call the working condition database to update the dynamic input in each iteration, and automatically correct the beam column section, shear wall thickness, core tube reinforcement and damper arrangement in the structure model; After optimization, perform dynamic response simulation on the candidate schemes, compare the dynamic response simulation results with the performance index system, generate a multi-scheme performance matrix, compare the performance of different design solutions in terms of displacement, acceleration, ductility and energy dissipation through the multi-scheme performance matrix, and output the optimal and sub-optimal design schemes.

2. The method for optimizing the intelligent anti-seismic structure of high-rise buildings according to claim 1, characterized in that: The seismic working condition input model comprises a Kanai-Tajimi model for describing the ground motion power spectral density, and a Lysmer-Kuhlemeyer model for determining the initial coefficient of foundation radiation damping, and the site shear wave velocity, overburden thickness and liquefaction discrimination results are introduced into the soil-structure interaction analysis.

3. The method for optimizing the intelligent anti-seismic structure of high-rise buildings according to claim 2, characterized in that: The structure model in the BIM platform comprises beams, columns, shear walls, core tubes, foundation rafts and damping devices; The damping device is parameterized modeled by a fractional order energy dissipator.

4. The method for optimizing the design of a high-rise building-oriented intelligent anti-seismic structure according to claim 3, characterized in that: The anti-seismic performance comprehensive function comprises inter-story drift angle, top layer acceleration, member plastic rotation and energy dissipation ratio. The energy dissipation ratio is output by the ratio of seismic input energy to energy dissipation energy of the energy dissipator.

5. The method for optimizing the intelligent anti-seismic structure of high-rise buildings according to claim 4, characterized in that: The specification limit and design boundary comprise inter-story drift angle limit, top point acceleration limit, member limit plastic rotation and minimum energy dissipation ratio.

6. The method for optimizing the design of a high-rise building-oriented intelligent anti-seismic structure according to claim 5, characterized in that: The global search and local adjustment comprise calling the seismic working condition database to update the dynamic input in each iteration, automatically correcting the beam column section size, shear wall thickness, core tube reinforcement ratio and damper arrangement position and quantity according to the updated dynamic response results, thereby forming a parameterized iterative process gradually converging.

7. The method for optimizing the design of a high-rise building-oriented intelligent anti-seismic structure according to claim 6, characterized in that: The multi-scheme performance matrix comprises performing dynamic response analysis on the candidate schemes based on different seismic working conditions to generate a multi-scheme performance matrix comprising inter-story drift angle, top layer acceleration, member plastic rotation and energy dissipation ratio.

8. A system for optimizing the design of a high-rise building-oriented intelligent anti-seismic structure according to any one of claims 1 to 7, characterized in that: The method comprises a seismic working condition modeling module, a structure modeling and performance constraint module, an optimization iteration and result evaluation module; The seismic working condition modeling module is used to collect regional seismic motion, site investigation and soil-structure interaction parameters, establish a multi-directional seismic working condition database and form input conditions; The structure modeling and performance constraint module is used for constructing a parameterized model of a high-rise building on a BIM platform, importing loads and seismic working conditions, defining inter-story drift angle, acceleration, plastic rotation, and energy dissipation ratio performance indexes, and setting specification limits and design constraint conditions; The optimization iteration and result evaluation module is used for adjusting structure parameters through an intelligent optimization algorithm, generating candidate schemes and performing multi-working-condition dynamic simulation, constructing a multi-scheme performance matrix, comparing different schemes, and screening optimal and suboptimal design schemes. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor implements the steps of the intelligent seismic structure optimization design method for high-rise buildings in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the intelligent seismic structure optimization design method for high-rise buildings in any one of claims 1 to 7.

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