An application method of prefabricated steel-concrete composite structure based on BIM technology

Abstract

The present invention discloses an application method of an assembled steel-concrete composite structure based on BIM technology. The present invention relates to the field of BIM construction technology and solves the problems of low construction efficiency and high cost. The BIM building three-dimensional digital modeling adopts a force characteristic finite element analysis algorithm, a building vibration response prediction analysis mechanism and a concrete temperature rise calculation algorithm to perform force, vibration and thermal analysis on the assembled steel-concrete composite structure to realize the construction of a building structure analysis model. The Internet of Things system transmits information and works in coordination through a data sensing processing module, a communication module, a database module and a BIM system module to realize full life cycle management. The construction plan includes a foundation treatment module, a steel structure manufacturing module, a concrete pouring module and a standardized component manufacturing module. The present invention greatly promotes the efficiency of assembled buildings. At the same time, the construction environment is less polluted, the construction process is economical and fast, and it is conducive to energy conservation and environmental protection.

Description

Technical Field

[0001] The present invention relates to the field of BIM construction technology, and more specifically to an application method of an assembled steel-concrete composite structure based on BIM technology. Background Art

[0002] The application of BIM for formwork and support conforms to the design process and management method of the traditional formwork support system, and is different in design tools and implementation methods, which are specifically manifested in the overall vs. node, three-dimensional vs. plane, standardization vs. experience, etc. The application process is as follows: import / establish BIM model → support system selection → material selection → load determination → safety verification → support system optimization → calculation book → drawing → material list → three-dimensional technical disclosure → inspection → rectification → acceptance → summary. The traditional site plan layout is drawn in the form of two-dimensional CAD drawings, and the temporary facilities on the construction site are arranged in this way, which is not intuitive enough and is not conducive to the scientific optimization of the site layout. We use BIM three-dimensional construction planning to present the construction site plan layout in three dimensions, which is intuitive and clear, and the plan can achieve the optimal layout.

[0003] In the prior art, there are many drawbacks in the application method of prefabricated steel-concrete composite structure based on BIM technology. On the one hand, it is impossible to establish a core model of a typical project of prefabricated steel-concrete composite structure based on BIM technology. The model involves buildings, structures, water supply and drainage, etc. There is a lack of construction plans for typical projects of prefabricated steel-concrete composite structure and pre-simulation of plans. On the other hand, it is impossible to integrate BIM concept with Internet of Things system in order to establish later operation and maintenance model and method, and to manage the whole life cycle of prefabricated steel-concrete composite structure. Therefore, the present invention proposes an application method of prefabricated steel-concrete composite structure based on BIM technology, aiming to construct prefabricated steel-concrete composite structure based on BIM technology, conduct pre-simulation of plans according to the constructed prefabricated steel-concrete composite structure, realize the management of the whole life cycle of prefabricated steel-concrete composite structure, and improve the work efficiency of the whole engineering site. Summary of the invention

[0004] In view of the deficiencies of the above-mentioned technologies, the present invention discloses an application method of a prefabricated steel-concrete composite structure based on BIM technology. The BIM building three-dimensional digital modeling adopts a force characteristic finite element analysis algorithm to perform force analysis on the prefabricated steel-concrete composite structure. The BIM building three-dimensional digital modeling adopts a building vibration response prediction analysis mechanism to perform vibration analysis on the prefabricated steel-concrete composite structure. The BIM building three-dimensional digital modeling adopts a concrete temperature rise calculation algorithm to perform thermal calculation analysis on the prefabricated steel-concrete composite structure, thereby realizing the construction of a building structure analysis model, solving the problem that a core model of a typical project of a prefabricated steel-concrete composite structure cannot be established based on BIM technology. The Internet of Things system transmits information and works in coordination through a data sensing processing module, a communication module, a database module and a BIM system module, thereby realizing the full life cycle management of the prefabricated steel-concrete composite structure, solving the problem that the BIM concept cannot be integrated with the Internet of Things system. The construction plan includes a foundation treatment module, a steel structure manufacturing module, a concrete pouring module and a standardized component manufacturing module, thereby solving the problem that a construction plan for a typical project of a prefabricated steel-concrete composite structure is lacking and a plan preview simulation is performed.

[0005] In view of this, the present invention provides an application method of a prefabricated steel-concrete composite structure based on BIM technology, comprising the following steps:

[0006] Step 1: Use BIM building three-dimensional digital modeling to model geometric parameters and coordinate space, and establish a core mathematical model of a typical project of prefabricated steel-concrete composite structure. The core mathematical model at least includes the building appearance, building structure, water supply and drainage, space layout, and door and window positions and sizes;

[0007] Step 2: The BIM building three-dimensional digital modeling adopts a force characteristic finite element analysis algorithm to perform a force analysis on the assembled steel-concrete composite structure. The BIM building three-dimensional digital modeling then adopts a building vibration response prediction analysis mechanism to perform a vibration analysis on the assembled steel-concrete composite structure. Finally, the BIM building three-dimensional digital modeling adopts a concrete temperature rise calculation algorithm to perform a thermal calculation analysis on the assembled steel-concrete composite structure, and converts the established core mathematical model into a building structure analysis model.

[0008] Step 3: The BIM building three-dimensional digital modeling adopts the Internet of Things system for information transmission and collaborative work to achieve the full life cycle management of the assembled steel-concrete composite structure. The Internet of Things system includes a data sensing processing module, a communication module, a database module and a BIM system module;

[0009] In step three, the output end of the data sensing processing module is connected to the input end of the communication module, the output end of the communication module is connected to the input end of the database module, and the output end of the database module is connected to the input end of the BIM system module;

[0010] Step 4: Establish a construction plan for a typical project of prefabricated steel-concrete composite structure based on the building structure analysis model and the Internet of Things system, wherein the construction plan includes a foundation treatment module, a steel structure manufacturing module, a concrete pouring module, and a standardized component manufacturing module;

[0011] In step 4, the output end of the foundation processing module is connected to the input end of the steel structure manufacturing module, the output end of the steel structure manufacturing module is connected to the input end of the concrete pouring module, and the output end of the concrete pouring module is connected to the input end of the standardized component manufacturing module;

[0012] Step 5. Finally, conduct a rehearsal simulation based on the construction plan of a typical prefabricated steel-concrete composite structure project. Use virtual reality simulation to achieve visual and physical effects to display the rehearsal simulation process, check that workers and equipment are in the correct position and state, and ensure the safety of ongoing operations.

[0013] As a further technical solution of the present invention, the working method of the force characteristic finite element analysis algorithm is:

[0014] S1. Modeling the assembled steel-concrete composite structure into continuous geometric units by meshing, wherein the meshing performs finite element analysis on unit types and sizes through a three-dimensional space scalar field analysis engine to determine the types and sizes of the continuous geometric units;

[0015] S2, and then use numerical simulation to establish the constitutive model of the assembled steel material, the numerical simulation determines the elastic mechanical properties of the assembled steel material according to the stress-strain curve, the force characteristic finite element analysis algorithm applies the boundary conditions of the constitutive model through a discrete smooth interpolation mechanism, and the boundary conditions at least include support constraints, fixed constraints, sliding constraints, rotation constraints, plastic hinge constraints and external loads, the discrete smooth interpolation mechanism determines the support constraints, fixed constraints and rotation constraints according to the fixed point position of the constitutive model, the discrete smooth interpolation mechanism sets the sliding constraints of the constitutive model through sliding nodes and sliding planes, the discrete smooth interpolation mechanism determines the plastic hinge constraints according to the plastic nodes of the constitutive model, and the discrete smooth interpolation mechanism applies the node load, surface load or line load of the constitutive model through triangular mesh reconstruction to simulate and calculate the external load, and the calculation formula of the external load is:

[0016]

[0017] In formula (1), Y is the external load of the constitutive model, f is the load inside the constitutive model, T is the external load action period of the constitutive model, x is the material elastic modulus of the constitutive model, and f is the material yield limit of the constitutive model;

[0018] S3. The displacement, stress, linear strain and deformation frequency of the assembled steel-concrete composite structure are determined by using a push-type force analysis mechanism. The push-type force analysis mechanism establishes a force mathematical equation based on continuous geometric units and a constitutive model. The force mathematical equation calculates the mutually coordinated stress and displacement of the composite structure through an interface coordination function. The force mathematical equation performs finite element analysis to calculate the linear strain and deformation frequency based on the force characteristics of the steel pipe and concrete. The stress calculation formula is:

[0019]

[0020] In formula (2), V is the stress of the prefabricated steel-concrete composite structure, z is the elastic modulus of the prefabricated steel-concrete composite structure, u is the cross-sectional area of ​​the prefabricated steel-concrete composite structure, and β is the front end bearing capacity of the prefabricated steel-concrete composite structure;

[0021] The displacement calculation formula is:

[0022]

[0023] In formula (3), Q is the displacement of the prefabricated steel-concrete composite structure, c is the elastic deformation of the prefabricated steel-concrete composite structure, b is the plastic deformation modulus of the prefabricated steel-concrete composite structure, θ is the interface deformation contact area of ​​the interface coordination function, and h is the temperature deformation modulus of the prefabricated steel-concrete composite structure;

[0024] The linear strain calculation formula is:

[0025]

[0026] In formula (4), R is the linear strain of the prefabricated steel-concrete composite structure, y is the elastic modulus of the prefabricated steel, m is the elastic modulus of the concrete material, Q is the Poisson's ratio of the prefabricated steel and concrete, and p is the cross-sectional area of ​​the prefabricated steel-concrete composite structure;

[0027] The deformation frequency calculation formula is:

[0028]

[0029] In formula (5), F is the deformation frequency of the prefabricated steel-concrete composite structure, S is the thickness of the prefabricated steel-concrete composite structure, q is the density of concrete, l is the length of the prefabricated steel, is the compressive strength of concrete.

[0030] As a further technical solution of the present invention, the building vibration response prediction and analysis mechanism uses an inverse analysis input serial port to input the elastic modulus of the steel pipe, the density of the concrete and the strain of the steel bar into the core mathematical model of a typical project of an assembled steel-concrete composite structure. The building vibration response prediction and analysis mechanism then uses an inverse analysis power function engine to determine the direction of action and the force when the assembled steel-concrete composite structure is subjected to an external force. The inverse analysis power function engine simulates the dynamic response of the material in the assembled steel-concrete composite structure through a power function numerical simulation mechanism to obtain the force characteristics. Finally, the building vibration response prediction and analysis mechanism uses a variable amplitude vibration equation to solve the discretized core mathematical model to obtain a vibration change curve of the assembled steel-concrete composite structure when it is subjected to an external force. The variable amplitude vibration equation synthesizes and analyzes the vibration response according to the force characteristics to obtain a vibration change curve of the assembled steel-concrete composite structure.

[0031] As a further technical solution of the present invention, the working method of the concrete temperature rise calculation algorithm is:

[0032] S1. Establish a heat flow model of the assembled steel-concrete composite structure by using three-dimensional fluid mechanics modeling. The three-dimensional fluid mechanics modeling determines the heat source, heat radiation and heat convection heat flow field distribution law according to the geometric shape, material properties and external environmental conditions of the steel-concrete composite structure to establish a heat flow model. The three-dimensional fluid mechanics modeling divides the assembled steel-concrete composite structure into discrete control bodies by using a three-dimensional discretization network. The three-dimensional discretization network logically analyzes the temperature distribution of each point inside the assembled steel-concrete composite structure according to the heat conduction relationship of the control body.

[0033] S2, and then using the concrete thermal stress mechanism to establish a thermal stress model of the structure, wherein the concrete thermal stress mechanism analyzes the distribution law of temperature deformation and thermal stress according to the deformation and stress distribution of the assembled steel-concrete composite structure material under thermal load;

[0034] S3. Finally, a combined weighted transformation engine is used to transform the established heat flow model and thermal stress model into a building structure analysis model for thermal-mechanical coupling analysis. The combined weighted transformation engine couples the temperature field and the stress field through a thermal-mechanical coupling mechanism to obtain the changing trend of the structural temperature and stress. The thermal-mechanical coupling mechanism analyzes the temperature field distribution through an explicit coupling function, and then analyzes the stress field distribution through an implicit coupling function. Finally, the thermal-mechanical coupling mechanism strengthens the coupling relationship between the temperature field and the stress field through semi-implicit coupling iterations, and thermal-mechanical coupling analysis is realized after convergence.

[0035] As a further technical solution of the present invention, the data sensing processing module uses a sensor array to detect and record parameter data inside and outside the building, and the parameter data at least includes concrete strength, cross-sectional size, weight, bearing capacity, connection strength and welding position. The data sensing processing module then uses a smooth difference algorithm to smooth the parameter data collected by the sensor array to obtain smooth and continuous parameter data. The smooth difference algorithm uses a local weighted polynomial to perform high-order polynomial regression on the parameter data in the sliding interval to obtain the derivative of the regression function. The smooth difference algorithm obtains parameter data of different order derivatives according to the derivative of the regression function to achieve parameter data smoothing processing; the communication module uses a wireless Mesh self-organizing network backhaul network to communicate with the sensor array and transmit the parameter data to the database module and the BIM system module. The wireless Mesh self-organizing network backhaul network establishes a communication network with the database module and the BIM system module through a wireless backhaul protocol. The wireless Mesh self-organizing network backhaul network then summarizes the parameter data of different nodes through a gateway node, and the gateway node transmits the summarized parameter data to the database module or the BIM system module according to the communication network.

[0036] As a further technical solution of the present invention, the database module adopts a cloud data repository to store parameter data securely, the cloud data repository adopts a heat replacement mechanism to optimize the cache replacement process, the heat replacement mechanism extracts the standard sequence of parameter data separately through the network data packet capture protocol, completes the design of the parameter data hierarchical storage mode, and realizes the hierarchical storage of parameter data, the cloud data repository adopts a backup disaster recovery engine to back up the parameter data, the backup disaster recovery engine stores the backup parameter data in a remote location through a replication storage protocol, and the backup disaster recovery engine adopts data mirroring fault-tolerant processing to completely restore the deleted parameter data; The BIM system module adopts digital operation management to achieve the management of the entire life cycle of the prefabricated steel-concrete composite structure. The digital operation management adopts a strapdown inertial group configuration mechanism to establish the correspondence between the building structure analysis model and the parameter data. The strapdown inertial group configuration mechanism loads the parameter data into the building structure analysis model through a dynamic loading protocol to achieve the correspondence between the construction sensor and the building structure analysis model. The digital operation management adopts a BIM collaborative production management mechanism to assist in the optimization of the construction process. The BIM collaborative production management mechanism performs virtual reality simulation before construction through a 3D modeling engine to achieve the optimization and resource sharing of production and construction resources.

[0037] As a further technical solution of the present invention, the foundation processing module uses acoustic wave detection to determine the foundation bearing capacity. The acoustic wave detection uses an acoustic wave detector to emit acoustic waves underground. The acoustic wave detector uses an asynchronous timestamp to record the propagation time of the shear waves received by the two reflectors to determine the shear wave velocity of the rock and soil layer. The acoustic wave detection determines the foundation bearing capacity through the shear wave velocity and soil density. The foundation processing module uses a pile foundation reinforcement load of 300kN / m 2 -600kN / m 2 In the area, the foundation treatment module adopts anchor reinforcement or pit widening reinforcement load of 0kN / m 2 -300kN / m 2 area; the steel structure manufacturing module adopts CNC processing equipment to perform cutting, shaping and pre-punching of steel to ensure the accuracy and standardization of steel components; the CNC processing equipment adopts source-load collaborative frequency control engine to generate processing control instructions; the source-load collaborative frequency control engine outputs processing control instructions according to the building structure analysis model and the Internet of Things system; the CNC processing equipment controls the CNC drilling machine to perform cutting, shaping and pre-punching of steel according to the control instructions; the steel structure manufacturing module then adopts carbon fiber reinforcement plates to reinforce steel beams; the steel structure manufacturing module assembles and welds steel beams and steel columns through hoisting machines and welding equipment to ensure that the connection between steel structures is firm and reliable.

[0038] As a further technical solution of the present invention, the concrete pouring module adopts servo support equipment to set up and support the formwork, the servo support equipment adopts ANSYS finite element simulation to perform numerical simulation calculation of the support force of concrete, find out the support points of the concrete structure, and ensure the accuracy of concrete pouring and the quality of construction, the concrete pouring module adopts genetic proportioning algorithm to design the proportion of concrete, and ensure the strength, density and durability of concrete, the genetic proportioning algorithm automatically adjusts the proportion of each material in the concrete mix ratio through the genetic fitness function, and the concrete pouring module finally adopts a self-propelled vibrator to pour, vibrate and maintain the concrete, and ensure the uniformity and stability of the concrete; the standardized structure The component manufacturing module adopts prefabricated building intelligent manufacturing to design and manufacture standardized components to ensure the accuracy and standardization of the components. The prefabricated building intelligent manufacturing performs visual design and three-dimensional simulation of standardized components according to the building structure analysis model, and performs fine control over the component materials, sizes and performances. The prefabricated building intelligent manufacturing uses a 3D digital model to visualize the material, size and form of each standardized component. The prefabricated building intelligent manufacturing then performs fine design and control of the material, size and performance of standardized components through full life cycle intelligent manufacturing. The standardized component manufacturing module then uses prefabricated panels to pre-process and assemble standardized components to ensure that the connection between components is firm and reliable.

[0039] The present invention has the following positive and beneficial effects compared with the prior art:

[0040] The invention discloses an application method of a prefabricated steel-concrete composite structure based on BIM technology. The BIM building three-dimensional digital modeling adopts a force characteristic finite element analysis algorithm to perform force analysis on the prefabricated steel-concrete composite structure. The BIM building three-dimensional digital modeling adopts a building vibration response prediction analysis mechanism to perform vibration analysis on the prefabricated steel-concrete composite structure. The BIM building three-dimensional digital modeling adopts a concrete temperature rise calculation algorithm to perform thermal calculation analysis on the prefabricated steel-concrete composite structure to achieve the construction of a building structure analysis model. The Internet of Things system transmits information and works in coordination through a data sensing processing module, a communication module, a database module and a BIM system module to achieve the full life cycle management of the prefabricated steel-concrete composite structure. The construction plan includes a foundation treatment module, a steel structure manufacturing module, a concrete pouring module and a standardized component manufacturing module. The prefabricated steel-concrete composite structure is a new green construction mode, which is conducive to promoting the development of prefabricated buildings. At the same time, the construction environment is less polluted, the construction process is economical and fast, and it is conducive to energy saving and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0042] Figure 1 This is an overall flow chart of an application method of a prefabricated steel-concrete composite structure based on BIM technology of the present invention;

[0043] Figure 2 This is a working diagram of the force characteristic finite element analysis algorithm adopted by the present invention;

[0044] Figure 3 This is a workflow diagram of the concrete temperature rise calculation algorithm used in the present invention;

[0045] Figure 4 This is a schematic diagram of the structure of the Internet of Things system adopted by the present invention;

[0046] Figure 5 This is a schematic diagram of the construction scheme adopted by the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of this article to clearly and completely describe the technical solutions in the embodiments of this article. Obviously, the described embodiments are only part of the embodiments of this article, not all of the embodiments. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0048] like Figure 1-5 As shown: The present invention provides an application method of a prefabricated steel-concrete composite structure based on BIM technology, comprising the following steps:

[0049] Step 1: Use BIM building three-dimensional digital modeling to model geometric parameters and coordinate space, and establish a core mathematical model of a typical project of prefabricated steel-concrete composite structure. The core mathematical model at least includes the building appearance, building structure, water supply and drainage, space layout, and door and window positions and sizes;

[0050] Step 2: The BIM building three-dimensional digital modeling adopts a force characteristic finite element analysis algorithm to perform a force analysis on the assembled steel-concrete composite structure. The BIM building three-dimensional digital modeling then adopts a building vibration response prediction analysis mechanism to perform a vibration analysis on the assembled steel-concrete composite structure. Finally, the BIM building three-dimensional digital modeling adopts a concrete temperature rise calculation algorithm to perform a thermal calculation analysis on the assembled steel-concrete composite structure, and converts the established core mathematical model into a building structure analysis model.

[0051] Step 3: The BIM building three-dimensional digital modeling adopts the Internet of Things system for information transmission and collaborative work to achieve the full life cycle management of the assembled steel-concrete composite structure. The Internet of Things system includes a data sensing processing module, a communication module, a database module and a BIM system module;

[0052] In step three, the output end of the data sensing processing module is connected to the input end of the communication module, the output end of the communication module is connected to the input end of the database module, and the output end of the database module is connected to the input end of the BIM system module;

[0053] Step 4: Establish a construction plan for a typical project of prefabricated steel-concrete composite structure based on the building structure analysis model and the Internet of Things system, wherein the construction plan includes a foundation treatment module, a steel structure manufacturing module, a concrete pouring module, and a standardized component manufacturing module;

[0054] In step 4, the output end of the foundation processing module is connected to the input end of the steel structure manufacturing module, the output end of the steel structure manufacturing module is connected to the input end of the concrete pouring module, and the output end of the concrete pouring module is connected to the input end of the standardized component manufacturing module;

[0055] Step 5. Finally, conduct a rehearsal simulation based on the construction plan of a typical prefabricated steel-concrete composite structure project. Use virtual reality simulation to achieve visual and physical effects to display the rehearsal simulation process, check that workers and equipment are in the correct position and state, and ensure the safety of ongoing operations.

[0056] In a specific embodiment, the core mathematical model of a typical engineering project of prefabricated steel-concrete composite structure can be established by using BIM building three-dimensional digital modeling for building structure and spatial parameter modeling, which mainly includes the following aspects: 1. House appearance architecture: This part mainly includes the geometric parameter modeling of the building facade, including the total length, total height, roof shape, angle and other parameters of the building, and simulates in combination with the design requirements of different materials. 2. Building structure: This part mainly includes the geometric parameter modeling of the prefabricated steel-concrete composite structure, including the shape, size, position and other parameters of the steel structure beams and columns, the thickness, height, length and other parameters of the concrete components, and the connection method and constraint conditions between different components. 3. Water supply and drainage: This part mainly includes the geometric parameter modeling of the water supply and drainage system inside the building, including water pipes, sewers, cross-sectional shapes, materials and other parameters, as well as the connection method between different pipes, the location of the pipes, etc. 4. Spatial layout: This part mainly includes the spatial layout modeling inside the building, including the location, size, shape and other parameters of the room, as well as the connection method between different rooms, the location of doors and windows, etc. 5. Door and window position and size: This part mainly includes the modeling of the door and window position and size of the building facade and interior space. The position, size, shape and other parameters of the doors and windows can be specified according to the designer's needs to achieve the best lighting and ventilation effects. In summary, the modeling of these parameters can form a comprehensive core mathematical model of a typical project of prefabricated steel-concrete composite structure, which can provide designers, engineers and construction personnel with detailed building structure and space layout information, helping them to better design, construct and maintain.

[0057] By applying virtual reality technology, the scheme can be rehearsed and simulated according to the specific construction scheme of the typical project of prefabricated steel-concrete composite structure, and the visual and physical effects can be displayed. It can also check whether the workers and equipment are in the correct position and state to ensure the safety of the ongoing operation. The specific implementation methods are as follows: 1. Build a virtual reality scene: Based on the BIM model of the typical project of prefabricated steel-concrete composite structure, build the corresponding virtual reality scene. 2. Load the construction plan: Import the construction plan of the typical project of prefabricated steel-concrete composite structure into the virtual reality scene, including the operations required during the construction process, such as equipment installation, concrete pouring, etc. 3. Perform virtual reality simulation: Use virtual reality technology to simulate and rehearse the construction process, and display the simulation effects in real time, including physical and visual effects. The position, state, size, etc. of the objects in the scene can be adjusted as needed to verify the rationality and safety of the construction plan. 4. Check the status of workers and equipment: During the virtual reality simulation process, it can be checked whether the workers and equipment are in the correct position and state to ensure the safety of the ongoing operation. The parameters in the construction plan can be adjusted to optimize construction efficiency and safety. In summary, the use of virtual reality technology for scheme preview simulation can effectively verify the rationality and safety of the construction plan, and provide important reference and guidance for the construction of typical projects of prefabricated steel-concrete composite structures.

[0058] In a further embodiment, the working method of the force characteristic finite element analysis algorithm is:

[0059] S1. Modeling the assembled steel-concrete composite structure into continuous geometric units by meshing, wherein the meshing performs finite element analysis on unit types and sizes through a three-dimensional space scalar field analysis engine to determine the types and sizes of the continuous geometric units;

[0060] S2, and then use numerical simulation to establish the constitutive model of the assembled steel material, the numerical simulation determines the elastic mechanical properties of the assembled steel material according to the stress-strain curve, the force characteristic finite element analysis algorithm applies the boundary conditions of the constitutive model through a discrete smooth interpolation mechanism, and the boundary conditions at least include support constraints, fixed constraints, sliding constraints, rotation constraints, plastic hinge constraints and external loads, the discrete smooth interpolation mechanism determines the support constraints, fixed constraints and rotation constraints according to the fixed point position of the constitutive model, the discrete smooth interpolation mechanism sets the sliding constraints of the constitutive model through sliding nodes and sliding planes, the discrete smooth interpolation mechanism determines the plastic hinge constraints according to the plastic nodes of the constitutive model, and the discrete smooth interpolation mechanism applies the node load, surface load or line load of the constitutive model through triangular mesh reconstruction to simulate and calculate the external load, and the calculation formula of the external load is:

[0061]

[0062] In formula (1), Y is the external load of the constitutive model, f is the load inside the constitutive model, T is the external load action period of the constitutive model, x is the material elastic modulus of the constitutive model, and f is the material yield limit of the constitutive model;

[0063] S3. The displacement, stress, linear strain and deformation frequency of the assembled steel-concrete composite structure are determined by using a push-type force analysis mechanism. The push-type force analysis mechanism establishes a force mathematical equation based on continuous geometric units and a constitutive model. The force mathematical equation calculates the mutually coordinated stress and displacement of the composite structure through an interface coordination function. The force mathematical equation performs finite element analysis to calculate the linear strain and deformation frequency based on the force characteristics of the steel pipe and concrete. The stress calculation formula is:

[0064]

[0065] In formula (2), V is the stress of the prefabricated steel-concrete composite structure, z is the elastic modulus of the prefabricated steel-concrete composite structure, u is the cross-sectional area of ​​the prefabricated steel-concrete composite structure, and β is the front end bearing capacity of the prefabricated steel-concrete composite structure;

[0066] The displacement calculation formula is:

[0067]

[0068] In formula (3), Q is the displacement of the prefabricated steel-concrete composite structure, c is the elastic deformation of the prefabricated steel-concrete composite structure, b is the plastic deformation modulus of the prefabricated steel-concrete composite structure, θ is the interface deformation contact area of ​​the interface coordination function, and h is the temperature deformation modulus of the prefabricated steel-concrete composite structure;

[0069] The linear strain calculation formula is:

[0070]

[0071] In formula (4), R is the linear strain of the prefabricated steel-concrete composite structure, y is the elastic modulus of the prefabricated steel, m is the elastic modulus of the concrete material, Q is the Poisson's ratio of the prefabricated steel and concrete, and p is the cross-sectional area of ​​the prefabricated steel-concrete composite structure;

[0072] The deformation frequency calculation formula is:

[0073]

[0074] In formula (5), F is the deformation frequency of the prefabricated steel-concrete composite structure, S is the thickness of the prefabricated steel-concrete composite structure, q is the density of concrete, l is the length of the prefabricated steel, is the compressive strength of concrete.

[0075] In a specific embodiment, the following steps can be used to construct an application platform for the force characteristic finite element analysis algorithm:

[0076] 1. Determine the application scenarios and goals: According to the specific building structure design and construction requirements, determine the scenarios and goals that require finite element analysis of stress characteristics.

[0077] 2. Select finite element analysis software and hardware platform: Select appropriate finite element analysis software and computing hardware platform according to actual needs, such as ANSYS, ABAQUS, COMSOL Multiphysics, etc.

[0078] 3. Establish a finite element analysis model: Establish a finite element analysis model of the building structure based on the scenario and objectives, including the geometric shape, material properties and boundary conditions of the building structure.

[0079] 4. Perform simulation calculations: Based on the model, use finite element analysis software to perform simulation calculations to obtain the stress, deformation, and damage state of the building structure under different stress conditions.

[0080] 5. Analysis results and optimization design: Analyze the simulation calculation results, identify problems such as force concentration and excessive stress in the building structure, and put forward optimization suggestions and design improvement plans.

[0081] In the specific implementation, a hardware platform can also be built, such as using high-performance servers, multi-core processors and GPU accelerators to achieve accelerated computing and parallel processing, and improve analysis efficiency and accuracy. At the same time, cloud computing and artificial intelligence technologies can also be introduced, and methods such as big data and machine learning can be used to optimize the design and construction of building structures, further improving building quality and environmental safety. In summary, building an application platform for finite element analysis algorithms of force characteristics can provide reliable technical support and decision-making basis for building structure design, construction and operation and maintenance.

[0082] The principle of the force characteristic finite element analysis algorithm is based on the finite element analysis method. By establishing the constitutive model of prefabricated steel materials and applying boundary conditions, the stress characteristics of the material such as stress, deformation, and failure state under different stress conditions are obtained through computer simulation. Specifically, the algorithm establishes a constitutive model of its elastic mechanical properties based on the stress-strain curve of the prefabricated steel material, and establishes a finite element model according to the actual building structure and the parameters of the prefabricated steel material, including meshing, material properties, and boundary conditions. The discrete smooth interpolation mechanism is used to impose various constraints and loads of the constitutive model, including support constraints, fixed constraints, sliding constraints, rotation constraints, plastic hinge constraints, and external loads. The stress characteristics of the building structure such as stress, deformation, and failure state under different stress conditions are obtained through simulation calculation. These characteristics can provide a reference for the design and optimization of related fields. The role of the force characteristic finite element analysis algorithm is to study the mechanical characteristics of prefabricated steel structures under different stress conditions, including stress, strain data, deformation state, etc., to provide a reference for the design and optimization of prefabricated steel structures. At the same time, the algorithm can be used to study the mechanical properties of other materials and provide technical support for the design and research in related fields. The statistical table of external load calculation results is shown in Table 1:

[0083]

[0084] As shown in Table 1, four test groups are set up, and two methods are used to calculate the output voltage signal. Method 1 is a cross-correlation method that performs cross-correlation operations on the clock signal and the ideal clock signal to find the maximum correlation peak between them, and then determines the external load. Method 2 uses a discrete smooth interpolation mechanism to simulate and calculate the external load by applying the node load, surface load or line load of the constitutive model through triangular mesh reconstruction. The error of Method 1 is greater than the error of Method 2. It can be seen that the discrete smooth interpolation mechanism of the present invention simulates and calculates the external load by applying the node load, surface load or line load of the constitutive model through triangular mesh reconstruction, and has outstanding technical effects.

[0085] In a further embodiment, the building vibration response prediction and analysis mechanism uses an inverse analysis input serial port to input the elastic modulus of the steel pipe, the density of the concrete and the strain of the steel bar into the core mathematical model of a typical project of an assembled steel-concrete composite structure. The building vibration response prediction and analysis mechanism then uses an inverse analysis power function engine to determine the direction of action and force of the assembled steel-concrete composite structure when it is subjected to external force. The inverse analysis power function engine simulates the dynamic response of the material in the assembled steel-concrete composite structure through a power function numerical simulation mechanism to obtain the force characteristics. The building vibration response prediction and analysis mechanism finally uses a variable amplitude vibration equation to solve the discretized core mathematical model to obtain a vibration change curve of the assembled steel-concrete composite structure when it is subjected to external force. The variable amplitude vibration equation synthesizes and analyzes the vibration response according to the force characteristics to obtain a vibration change curve of the assembled steel-concrete composite structure.

[0086] In a further embodiment, the working method of the concrete temperature rise calculation algorithm is:

[0087] S1. Establish a heat flow model of the assembled steel-concrete composite structure by using three-dimensional fluid mechanics modeling. The three-dimensional fluid mechanics modeling determines the heat source, heat radiation and heat convection heat flow field distribution law according to the geometric shape, material properties and external environmental conditions of the steel-concrete composite structure to establish a heat flow model. The three-dimensional fluid mechanics modeling divides the assembled steel-concrete composite structure into discrete control bodies by using a three-dimensional discretization network. The three-dimensional discretization network logically analyzes the temperature distribution of each point inside the assembled steel-concrete composite structure according to the heat conduction relationship of the control body.

[0088] S2, and then using the concrete thermal stress mechanism to establish a thermal stress model of the structure, wherein the concrete thermal stress mechanism analyzes the distribution law of temperature deformation and thermal stress according to the deformation and stress distribution of the assembled steel-concrete composite structure material under thermal load;

[0089] S3. Finally, a combined weighted transformation engine is used to transform the established heat flow model and thermal stress model into a building structure analysis model for thermal-mechanical coupling analysis. The combined weighted transformation engine couples the temperature field and the stress field through a thermal-mechanical coupling mechanism to obtain the changing trend of the structural temperature and stress. The thermal-mechanical coupling mechanism analyzes the temperature field distribution through an explicit coupling function, and then analyzes the stress field distribution through an implicit coupling function. Finally, the thermal-mechanical coupling mechanism strengthens the coupling relationship between the temperature field and the stress field through semi-implicit coupling iterations, and thermal-mechanical coupling analysis is realized after convergence.

[0090] In a further embodiment, the data sensing processing module uses a sensor array to detect and record parameter data inside and outside the building, and the parameter data includes at least concrete strength, cross-sectional dimensions, weight, bearing capacity, connection strength and welding position. The data sensing processing module then uses a smooth difference algorithm to smooth the parameter data collected by the sensor array to obtain smooth and continuous parameter data. The smooth difference algorithm uses a local weighted polynomial to perform high-order polynomial regression on the parameter data in the sliding interval to obtain the derivative of the regression function. The smooth difference algorithm obtains parameter data of different order derivatives according to the derivative of the regression function to achieve parameter data smoothing processing; the communication module uses a wireless Mesh self-organizing network backhaul network to communicate with the sensor array and transmit the parameter data to the database module and the BIM system module. The wireless Mesh self-organizing network backhaul network establishes a communication network with the database module and the BIM system module through a wireless backhaul protocol. The wireless Mesh self-organizing network backhaul network then aggregates the parameter data of different nodes through a gateway node, and the gateway node transmits the aggregated parameter data to the database module or the BIM system module according to the communication network.

[0091] In a specific embodiment, the building vibration response prediction and analysis mechanism simulates the stress characteristics of the assembled steel-concrete composite structure when it is subjected to external force by inputting the elastic modulus of the steel pipe, the density of the concrete and the strain of the steel bar into the core mathematical model, and uses the variable amplitude vibration equation to solve and obtain its vibration change curve. Specifically, the mechanism uses the reverse analysis input serial port to input the material properties in the assembled steel-concrete composite structure into the core mathematical model. Then, the reverse analysis power function engine is used to determine the force direction and the force, and the dynamic response of the material in the assembled steel-concrete composite structure is simulated by the power function numerical simulation mechanism to obtain the force characteristics. Finally, the discretized core mathematical model is solved using the variable amplitude vibration equation to obtain the vibration change curve of the assembled steel-concrete composite structure when it is subjected to external force. The variable amplitude vibration equation synthesizes and analyzes the vibration response according to the force characteristics, thereby obtaining the vibration change curve of the assembled steel-concrete composite structure.

[0092] Specifically, the working method of the concrete temperature rise calculation algorithm is as follows: First, a three-dimensional modeling method is used to establish a thermal flow model of the prefabricated steel-concrete composite structure. The model takes into account the geometric shape, material properties and external environmental factors of the composite structure, determines the distribution law of the heat source, thermal radiation and thermal convection heat flow field, and divides the composite structure into discrete control bodies for discretization analysis to obtain the temperature distribution of each point. Secondly, the concrete thermal stress mechanism is used to establish a thermal stress model of the prefabricated steel-concrete composite structure. This mechanism takes into account the deformation and stress distribution of the composite structure material under thermal load, and analyzes the distribution law of temperature deformation and thermal stress. Finally, a combined weighted conversion engine is used to convert the thermal flow model and thermal stress model into a building structure analysis model for thermal-mechanical coupling analysis. The engine takes into account the coupling relationship between the temperature field and the stress field, and analyzes the distribution of the temperature field and the stress field respectively through explicit and implicit coupling functions, and strengthens the coupling relationship between the temperature field and the stress field through a semi-implicit coupling iteration method until convergence is reached, and the temperature and stress change trends of the prefabricated steel-concrete composite structure are obtained.

[0093] The data sensing and processing module uses a sensor array to detect and record parameter data inside and outside the building. These parameter data include at least concrete strength, cross-sectional dimensions, weight, bearing capacity, connection strength and welding position. For the collected parameter data, a smooth difference algorithm is used for smoothing to obtain continuous and smooth parameter data. Specifically, the smooth difference algorithm uses a local weighted polynomial to perform high-order polynomial regression to obtain the derivative of the regression function, and obtains parameter data of different order derivatives according to the derivative to achieve smoothing of the parameter data. The communication module uses a wireless Mesh self-organizing network backhaul network to communicate with the sensor array to transmit parameter data. The wireless Mesh self-organizing network backhaul network establishes a communication network with the database module and the BIM system module through a wireless backhaul protocol, aggregates the parameter data of different nodes through a gateway node, and transmits the aggregated parameter data to the database module or the BIM system module according to the communication network. In this way, data transmission and linkage between the sensor array and the database and BIM system are realized.

[0094] In a further embodiment, the database module uses a cloud data repository to securely store parameter data, the cloud data repository uses a heat replacement mechanism to optimize the cache replacement process, the heat replacement mechanism extracts the standard sequence of parameter data separately through a network data packet capture protocol, completes the design of a hierarchical storage mode for parameter data, and realizes hierarchical storage of parameter data, the cloud data repository uses a backup disaster recovery engine to back up parameter data, the backup disaster recovery engine stores the backup parameter data off-site through a replication storage protocol, and the backup disaster recovery engine uses data mirroring fault-tolerant processing to completely restore deleted parameter data; The BIM system module adopts digital operation management to achieve the management of the entire life cycle of prefabricated steel-concrete composite structures. The digital operation management adopts a strapdown inertial group configuration mechanism to establish the correspondence between the building structure analysis model and the parameter data. The strapdown inertial group configuration mechanism loads the parameter data into the building structure analysis model through a dynamic loading protocol to achieve the correspondence between the construction sensor and the building structure analysis model. The digital operation management adopts a BIM collaborative production management mechanism to assist in the optimization of the construction process. The BIM collaborative production management mechanism performs virtual reality simulation before construction through a 3D modeling engine to achieve the optimization and resource sharing of production and construction resources.

[0095] In a further embodiment, the foundation processing module uses acoustic wave detection to determine the foundation bearing capacity. The acoustic wave detection uses an acoustic wave detector to emit acoustic waves underground. The acoustic wave detector uses an asynchronous timestamp to record the propagation time of the shear waves received by two reflectors to determine the shear wave velocity of the rock and soil layer. The acoustic wave detection determines the foundation bearing capacity through the shear wave velocity and soil density. The foundation processing module uses a pile foundation reinforcement load of 300kN / m 2 -600kN / m 2 In the area, the foundation treatment module adopts anchor reinforcement or pit widening reinforcement load of 0kN / m 2 -300kN / m 2 area; the steel structure manufacturing module adopts CNC processing equipment to perform cutting, shaping and pre-punching of steel to ensure the accuracy and standardization of steel components; the CNC processing equipment adopts source-load collaborative frequency control engine to generate processing control instructions; the source-load collaborative frequency control engine outputs processing control instructions according to the building structure analysis model and the Internet of Things system; the CNC processing equipment controls the CNC drilling machine to perform cutting, shaping and pre-punching of steel according to the control instructions; the steel structure manufacturing module then adopts carbon fiber reinforcement plates to reinforce steel beams; the steel structure manufacturing module assembles and welds steel beams and steel columns through hoisting machines and welding equipment to ensure that the connection between steel structures is firm and reliable.

[0096] In a further embodiment, the concrete pouring module adopts servo support equipment to set up and support the formwork, the servo support equipment adopts ANSYS finite element simulation to perform numerical simulation calculation of the support force of concrete, find out the support points of the concrete structure, ensure the accuracy of concrete pouring and the quality of construction, the concrete pouring module adopts genetic proportioning algorithm to design the proportion of concrete, ensure the strength, density and durability of concrete, the genetic proportioning algorithm automatically adjusts the proportion of each material in the concrete mix ratio through the genetic fitness function, and finally the concrete pouring module adopts a self-propelled vibrator to pour, vibrate and maintain the concrete, ensure the uniformity and stability of the concrete; the standardized component system The manufacturing module adopts prefabricated building intelligent manufacturing to design and manufacture standardized components to ensure the accuracy and standardization of the components. The prefabricated building intelligent manufacturing performs visual design and three-dimensional simulation of standardized components according to the building structure analysis model, and performs fine control over the component materials, sizes and performances. The prefabricated building intelligent manufacturing uses a 3D digital model to visualize the material, size and form of each standardized component. The prefabricated building intelligent manufacturing then performs fine design and control of the material, size and performance of standardized components through full life cycle intelligent manufacturing. The standardized component manufacturing module then uses prefabricated panels to pre-process and assemble standardized components to ensure that the connection between components is firm and reliable.

[0097] In a specific embodiment, the database module uses a cloud data repository to store parameter data securely, and uses a heat replacement mechanism to optimize the cache replacement process. The heat replacement mechanism extracts the standard sequence of parameter data separately through the network packet capture protocol, completes the design of the hierarchical storage mode of parameter data, and realizes the hierarchical storage of parameter data. In addition, the database module uses a backup disaster recovery engine to back up the parameter data, and uses data mirroring fault-tolerant processing to completely restore the deleted parameter data, thereby ensuring the safety and reliability of the parameter data. The BIM system module uses digital operation management to achieve the management of the entire life cycle of the prefabricated steel-concrete composite structure. Specifically, the strapdown inertial group configuration mechanism is used to establish the correspondence between the building structure analysis model and the parameter data, and the parameter data is loaded into the building structure analysis model through the dynamic loading protocol to achieve the correspondence between the construction sensor and the building structure analysis model. At the same time, the BIM collaborative production management mechanism is used to assist in the optimization of the construction process, and the virtual reality simulation is performed before construction through the 3D modeling engine to achieve the optimization and resource sharing of production and construction resources. Through the application of digital operation management and BIM system modules, the full life cycle management and optimization of prefabricated steel-concrete composite structures are achieved.

[0098] The foundation processing module uses acoustic wave detection to determine the foundation bearing capacity. The acoustic wave detector transmits sound waves underground, and uses asynchronous timestamps to record the propagation time of the shear waves received by the two reflectors, thereby determining the shear wave velocity of the rock and soil layer. The foundation bearing capacity is determined by the shear wave velocity and soil density, and different reinforcement methods are used under different load requirements, including pile foundation reinforcement and anchor reinforcement or pit widening reinforcement. This effectively solves the safety problems caused by unstable foundations. The steel structure manufacturing module uses CNC machining devices to perform steel cutting, shaping and pre-punching to ensure the accuracy and standardization of steel components. The CNC machining device uses a source-load coordinated frequency control engine to generate processing control instructions, outputs processing control instructions according to the building structure analysis model and the Internet of Things system, and performs cutting, shaping and pre-punching of steel. The steel structure manufacturing module then uses carbon fiber reinforcement plates to reinforce steel beams, and assembles and welds steel beams and steel columns through hoisting machines and welding equipment to ensure that the connection between different components is firm and reliable, achieving a high-quality and high-safety building structure. In summary, the application of foundation treatment modules and steel structure manufacturing modules can effectively improve the bearing capacity and stability of the building structure, and ensure the safety and stability of the building structure under different force requirements.

[0099] The concrete pouring module uses servo support equipment to set up and support the formwork. On this basis, ANSYS finite element simulation is used to perform numerical simulation and calculation of the concrete support force to find the support points of the concrete structure to ensure accuracy and building quality. The genetic proportioning algorithm is used to design the proportion of concrete to ensure the strength, density and durability of concrete, and automatically adjust the proportion of each material in the proportion. A self-propelled vibrator is used to pour, vibrate and maintain concrete to ensure the uniformity and stability of concrete. The standardized component manufacturing module uses prefabricated building intelligent manufacturing to design and manufacture standardized components, and visualizes and simulates standardized components according to the building structure analysis model, and finely controls the component materials, dimensions and performance. The material, size and form of each standardized component are visualized through a 3D digital model, and then the material, size and performance of the standardized component are finely designed and controlled through full life cycle intelligent manufacturing to ensure the accuracy and standardization of the component. Prefabricated panels are used for pre-processing and assembly of standardized components to ensure that the connection between components is firm and reliable. In summary, the application of concrete pouring modules and standardized component manufacturing modules can effectively improve construction efficiency and building quality, ensure the stability and durability of the building structure, and achieve the goals of intelligent building manufacturing and high-quality construction.

[0100] Although the specific embodiments of the present invention are described above, it should be understood by those skilled in the art that these specific embodiments are only illustrative, and those skilled in the art may omit, replace, and change the details of the above methods and systems in various ways without departing from the principles and essence of the present invention. For example, merging the above method steps so as to perform substantially the same functions in substantially the same manner to achieve substantially the same results is within the scope of the present invention. Therefore, the scope of the present invention is limited only by the appended claims.

Claims

1. An application method of assembled steel-concrete composite structure based on BIM technology, characterized by: The application method comprises the following steps: Step 1: Use BIM building three-dimensional digital modeling to model geometric parameters and coordinate space, and establish a core mathematical model of a typical project of prefabricated steel-concrete composite structure. The core mathematical model at least includes the building appearance, building structure, water supply and drainage, space layout, and door and window positions and sizes; Step 2: The BIM building three-dimensional digital modeling adopts a force characteristic finite element analysis algorithm to perform a force analysis on the assembled steel-concrete composite structure. The BIM building three-dimensional digital modeling then adopts a building vibration response prediction analysis mechanism to perform a vibration analysis on the assembled steel-concrete composite structure. Finally, the BIM building three-dimensional digital modeling adopts a concrete temperature rise calculation algorithm to perform a thermal calculation analysis on the assembled steel-concrete composite structure, and converts the established core mathematical model into a building structure analysis model. Step 3: The BIM building three-dimensional digital modeling adopts the Internet of Things system for information transmission and collaborative work to achieve the full life cycle management of the assembled steel-concrete composite structure. The Internet of Things system includes a data sensing processing module, a communication module, a database module and a BIM system module; In step three, the output end of the data sensing processing module is connected to the input end of the communication module, the output end of the communication module is connected to the input end of the database module, and the output end of the database module is connected to the input end of the BIM system module; Step 4: Establish a construction plan for a typical project of prefabricated steel-concrete composite structure based on the building structure analysis model and the Internet of Things system, wherein the construction plan includes a foundation treatment module, a steel structure manufacturing module, a concrete pouring module, and a standardized component manufacturing module; In step 4, the output end of the foundation processing module is connected to the input end of the steel structure manufacturing module, the output end of the steel structure manufacturing module is connected to the input end of the concrete pouring module, and the output end of the concrete pouring module is connected to the input end of the standardized component manufacturing module; Step 5. Finally, conduct a scheme preview simulation based on the construction scheme of a typical project of prefabricated steel-concrete composite structure, realize visual and physical effects through virtual reality simulation to show the preview simulation process, check that workers and equipment are in the correct position and state, and ensure the safety of ongoing operations; The building vibration response prediction and analysis mechanism uses an inverse analysis input serial port to input the elastic modulus of the steel pipe, the density of the concrete and the strain of the steel bar into the core mathematical model of a typical project of a prefabricated steel-concrete composite structure. The building vibration response prediction and analysis mechanism then uses an inverse analysis power function engine to determine the direction of action and the force when the prefabricated steel-concrete composite structure is subjected to an external force. The inverse analysis power function engine simulates the dynamic response of the material in the prefabricated steel-concrete composite structure through a power function numerical simulation mechanism to obtain the force characteristics. The building vibration response prediction and analysis mechanism finally uses a variable amplitude vibration equation to solve the discretized core mathematical model to obtain a vibration change curve of the prefabricated steel-concrete composite structure when it is subjected to an external force. The variable amplitude vibration equation synthesizes and analyzes the vibration response according to the force characteristics to obtain a vibration change curve of the prefabricated steel-concrete composite structure.

2. The method for applying a prefabricated steel-concrete composite structure based on BIM technology according to claim 1 is characterized in that: The working method of the force characteristic finite element analysis algorithm is: S1. Modeling the assembled steel-concrete composite structure into continuous geometric units by meshing, wherein the meshing performs finite element analysis on unit types and sizes through a three-dimensional space scalar field analysis engine to determine the types and sizes of the continuous geometric units; S2, and then use numerical simulation to establish the constitutive model of the assembled steel material, the numerical simulation determines the elastic mechanical properties of the assembled steel material according to the stress-strain curve, the force characteristic finite element analysis algorithm applies the boundary conditions of the constitutive model through a discrete smooth interpolation mechanism, and the boundary conditions at least include support constraints, fixed constraints, sliding constraints, rotation constraints, plastic hinge constraints and external loads, the discrete smooth interpolation mechanism determines the support constraints, fixed constraints and rotation constraints according to the fixed point position of the constitutive model, the discrete smooth interpolation mechanism sets the sliding constraints of the constitutive model through sliding nodes and sliding planes, the discrete smooth interpolation mechanism determines the plastic hinge constraints according to the plastic nodes of the constitutive model, and the discrete smooth interpolation mechanism applies the node load, surface load or line load of the constitutive model through triangular mesh reconstruction to simulate and calculate the external load, and the calculation formula of the external load is: In formula (1), Y is the external load of the constitutive model, f is the load inside the constitutive model, T is the external load action period of the constitutive model, and x is the material elastic modulus of the constitutive model; S3. The displacement, stress, linear strain and deformation frequency of the assembled steel-concrete composite structure are determined by using a push-type force analysis mechanism. The push-type force analysis mechanism establishes a force mathematical equation based on continuous geometric units and a constitutive model. The force mathematical equation calculates the mutually coordinated stress and displacement of the composite structure through an interface coordination function. The force mathematical equation performs finite element analysis to calculate the linear strain and deformation frequency based on the force characteristics of the steel pipe and concrete. The stress calculation formula is: In formula (2), V is the stress of the prefabricated steel-concrete composite structure, z is the elastic modulus of the prefabricated steel-concrete composite structure, u is the cross-sectional area of ​​the prefabricated steel-concrete composite structure, and β is the front end bearing capacity of the prefabricated steel-concrete composite structure; The displacement calculation formula is: In formula (3), Q is the displacement of the prefabricated steel-concrete composite structure, c is the elastic deformation of the prefabricated steel-concrete composite structure, b is the plastic deformation modulus of the prefabricated steel-concrete composite structure, θ is the interface deformation contact area of ​​the interface coordination function, and h is the temperature deformation modulus of the prefabricated steel-concrete composite structure; The linear strain calculation formula is: In formula (4), R is the linear strain of the prefabricated steel-concrete composite structure, y is the elastic modulus of the prefabricated steel, m is the elastic modulus of the concrete material, Q is the Poisson's ratio of the prefabricated steel and concrete, and p is the cross-sectional area of ​​the prefabricated steel-concrete composite structure; The deformation frequency calculation formula is: In formula (5), F is the deformation frequency of the prefabricated steel-concrete composite structure, S is the thickness of the prefabricated steel-concrete composite structure, q is the density of concrete, l is the length of the prefabricated steel, is the compressive strength of concrete.

3. The application method of the assembled steel-concrete composite structure based on BIM technology according to claim 1 is characterized by: The working method of the concrete temperature rise calculation algorithm is: S1. Using fluid mechanics three-dimensional modeling to establish a heat flow model for the assembled steel-concrete composite structure. The fluid mechanics three-dimensional modeling determines the heat source, heat radiation and heat convection heat flow field distribution law according to the geometric shape, material properties and external environmental conditions of the steel-concrete composite structure to establish a heat flow model. The fluid mechanics three-dimensional modeling uses a three-dimensional discretization network to divide the assembled steel-concrete composite structure into discrete control bodies. The three-dimensional discretization network logically analyzes the temperature distribution of each point inside the assembled steel-concrete composite structure according to the heat conduction relationship of the control body; S2, and then using the concrete thermal stress mechanism to establish a thermal stress model of the structure, wherein the concrete thermal stress mechanism analyzes the distribution law of temperature deformation and thermal stress according to the deformation and stress distribution of the assembled steel-concrete composite structure material under thermal load; S3. Finally, a combined weighted transformation engine is used to transform the established heat flow model and thermal stress model into a building structure analysis model for thermal-mechanical coupling analysis. The combined weighted transformation engine couples the temperature field and the stress field through a thermal-mechanical coupling mechanism to obtain the changing trend of the structural temperature and stress. The thermal-mechanical coupling mechanism analyzes the temperature field distribution through an explicit coupling function, and then analyzes the stress field distribution through an implicit coupling function. Finally, the thermal-mechanical coupling mechanism strengthens the coupling relationship between the temperature field and the stress field through semi-implicit coupling iterations, and thermal-mechanical coupling analysis is realized after convergence.

4. The application method of the assembled steel-concrete composite structure based on BIM technology according to claim 1 is characterized by: The data sensing processing module uses a sensor array to detect and record parameter data inside and outside the building, and the parameter data at least includes concrete strength, cross-sectional size, weight, bearing capacity, connection strength and welding position. The data sensing processing module then uses a smooth difference algorithm to smooth the parameter data collected by the sensor array to obtain smooth and continuous parameter data. The smooth difference algorithm uses a local weighted polynomial to perform high-order polynomial regression on the parameter data in the sliding interval to obtain the derivative of the regression function. The smooth difference algorithm obtains parameter data of different order derivatives according to the derivative of the regression function to achieve parameter data smoothing processing; the communication module uses a wireless Mesh self-organizing network backhaul network to communicate with the sensor array and transmit the parameter data to the database module and the BIM system module. The wireless Mesh self-organizing network backhaul network establishes a communication network with the database module and the BIM system module through a wireless backhaul protocol. The wireless Mesh self-organizing network backhaul network then summarizes the parameter data of different nodes through a gateway node, and the gateway node transmits the summarized parameter data to the database module or the BIM system module according to the communication network.

5. The method for applying a prefabricated steel-concrete composite structure based on BIM technology according to claim 1 is characterized in that: The database module uses a cloud data repository to store parameter data securely, and the cloud data repository uses a heat replacement mechanism to optimize the cache replacement process. The heat replacement mechanism extracts the standard sequence of parameter data separately through the network data packet capture protocol, completes the design of the parameter data hierarchical storage mode, and realizes the hierarchical storage of parameter data. The cloud data repository uses a backup disaster recovery engine to back up the parameter data, and the backup disaster recovery engine stores the backup parameter data in a remote location through a replication storage protocol. The backup disaster recovery engine uses data mirroring fault-tolerant processing to completely restore the deleted parameter data; the BIM system module uses digital operation management to realize the management of the entire life cycle of the assembled steel-concrete composite structure, and the digital operation management uses a strapdown inertial group configuration mechanism to establish the corresponding relationship between the building structure analysis model and the parameter data. The strapdown inertial group configuration mechanism loads the parameter data into the building structure analysis model through a dynamic loading protocol to realize the corresponding relationship between the construction sensor and the building structure analysis model. The digital operation management uses a BIM collaborative production management mechanism to assist in the optimization of the construction process. The BIM collaborative production management mechanism performs virtual reality simulation before construction through a 3D modeling engine to realize the optimization and resource sharing of production and construction resources.

6. The application method of the assembled steel-concrete composite structure based on BIM technology according to claim 1 is characterized by: The foundation processing module uses acoustic wave detection to determine the foundation bearing capacity. The acoustic wave detection uses an acoustic wave detector to emit acoustic waves underground. The acoustic wave detector uses an asynchronous time stamp to record the propagation time of the shear wave received by two reflectors to determine the shear wave velocity of the rock and soil layer. The acoustic wave detection determines the foundation bearing capacity through the shear wave velocity and soil density. The foundation processing module uses a pile foundation reinforcement load of 300kN / m 2 -600kN / m 2 In the area, the foundation treatment module adopts anchor reinforcement or pit widening reinforcement load of 0kN / m 2 -300kN / m 2 area; the steel structure manufacturing module adopts CNC processing equipment to perform cutting, shaping and pre-punching of steel to ensure the accuracy and standardization of steel components; the CNC processing equipment adopts source-load collaborative frequency control engine to generate processing control instructions; the source-load collaborative frequency control engine outputs processing control instructions according to the building structure analysis model and the Internet of Things system; the CNC processing equipment controls the CNC drilling machine to perform cutting, shaping and pre-punching of steel according to the control instructions; the steel structure manufacturing module then adopts carbon fiber reinforcement plates to reinforce steel beams; the steel structure manufacturing module assembles and welds steel beams and steel columns through hoisting machines and welding equipment to ensure that the connection between steel structures is firm and reliable.

7. The application method of the assembled steel-concrete composite structure based on BIM technology according to claim 1 is characterized by: The concrete pouring module adopts servo support equipment to set up and support the formwork. The servo support equipment adopts ANSYS finite element simulation to perform numerical simulation calculation of the support force of concrete, find out the support points of the concrete structure, and ensure the accuracy of concrete pouring and the quality of the building. The concrete pouring module adopts genetic proportioning algorithm to design the proportion of concrete to ensure the strength, density and durability of concrete. The genetic proportioning algorithm automatically adjusts the proportion of each material in the concrete mix through the genetic fitness function. Finally, the concrete pouring module adopts a self-propelled vibrator to pour, vibrate and maintain the concrete to ensure the uniformity and stability of the concrete. The component manufacturing module adopts prefabricated building intelligent manufacturing to design and manufacture standardized components to ensure the accuracy and standardization of the components. The prefabricated building intelligent manufacturing performs visual design and three-dimensional simulation of standardized components according to the building structure analysis model, and performs fine control over the component materials, sizes and performances. The prefabricated building intelligent manufacturing uses a 3D digital model to visualize the material, size and form of each standardized component. The prefabricated building intelligent manufacturing then performs fine design and control of the materials, sizes and performances of standardized components through full life cycle intelligent manufacturing. The standardized component manufacturing module then uses prefabricated panels to pre-process and assemble standardized components.

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