Large frame type truss hoisting simulation method and system

Abstract

The invention relates to the field of building simulation, and provides a large frame type truss hoisting simulation method and system, and the method comprises the steps: obtaining a three-dimensional simulation model of a truss, importing the three-dimensional simulation model into finite element analysis software, carrying out the grid division and assembly of the three-dimensional simulation model of the truss, and obtaining a finite element model of the truss; and stress solving is carried out on the finite element model of the truss, a solving result is obtained, and a hidden force area in the finite element model of the truss is recognized according to the solving result and marked as a hoisting reinforcing point. According to the method, a finite element simulation analysis technology is utilized, a key position needing to be reinforced is accurately locked by dynamically simulating complex stress changes in the hoisting process, hoisting reinforcing points are recognized based on a simulation result, and structural weak points which are prone to being ignored in traditional analysis are recognized by utilizing a simulation model; and reliable technical support is provided for safe construction and cost control of large-scale projects.

Description

Technical Field

[0001] The present invention relates to the field of building simulation, and in particular to a large-scale frame truss hoisting simulation method. Background Art

[0002] Trusses, as lattice-like load-bearing systems composed of linear members connected by nodes, have become core load-bearing components in large-span spatial structures, such as nuclear power plant domes, stadium roofs, and bridge main spans, thanks to their excellent mechanical properties and material efficiency. Large frame-type truss systems typically exhibit complex geometry, high component coupling, and sensitivity to spatial configuration. During the overall hoisting construction of such large trusses, dynamic factors such as wire rope tie-downs, the coordinated effects of multiple lifting points, and wind-induced vibrations during the hoisting process lead to complex spatial force flow redistribution. Traditional static verification methods based on empirical formulas have significant limitations, as the structures often weigh hundreds of tons and require installation precision to be controlled to the millimeter level.

[0003] In current engineering practices, construction companies often rely on simplified mechanical models to design hoisting schemes, discretizing the continuous lifting process into several static conditions for analysis. While this approach can capture the overall stress distribution trend of the structure, it cannot accurately capture key behaviors such as local plastic deformation in the lifting point contact zone and the nonlinear variation of rigging stiffness with lifting angle. Furthermore, traditional hoisting methods often overlook the amplification effect of hoisting oscillation caused by wind speed fluctuations, resulting in inadequate temporary reinforcement measures and local buckling accidents.

[0004] Finite element analysis (FEA) is commonly used in architectural simulation. It can provide computer-aided solutions for the diverse mechanical properties of complex projects and products. However, modeling accuracy for hoisting simulations often suffers from flaws such as oversimplification of node connection details (using rigid connections instead of actual bolt contact) and neglect of wire rope creep during load application. This leads to systematic deviations between simulation results and actual working conditions. These technical bottlenecks restrict optimization options for hoisting solutions, making it difficult to achieve an optimal balance between construction safety and economic efficiency. Summary of the Invention

[0005] The purpose of the present invention is to propose a large-scale frame truss hoisting simulation method to solve one or more technical problems existing in the prior art and at least provide a beneficial option or create conditions.

[0006] The present invention provides a large-scale frame truss hoisting simulation method and system, which obtains a three-dimensional simulation model of the truss and imports it into finite element analysis software, performs mesh division and assembly on the three-dimensional simulation model of the truss, obtains a finite element model of the truss, performs stress solution on the finite element model of the truss, obtains a solution result, and identifies the hidden force area in the finite element model of the truss based on the solution result and marks it as a hoisting reinforcement point. The method utilizes finite element simulation analysis technology to dynamically simulate the complex force changes during the hoisting process, accurately locks the key positions that need to be reinforced, and identifies the hoisting reinforcement points based on the simulation results. The simulation model is used to identify structural weaknesses that are easily overlooked in traditional analysis, providing reliable technical support for the safe construction and cost control of large-scale projects.

[0007] In order to achieve the above object, according to one aspect of the present invention, a large-scale frame truss hoisting simulation method is provided, the method comprising the following steps: Obtain a 3D simulation model of the truss and import it into finite element analysis software; Perform meshing and assembly for the 3D simulation model of the truss to obtain a finite element model of the truss; Perform stress solution for the finite element model of the truss and obtain the solution; Based on the solution results, the hidden force areas in the finite element model of the truss are identified and marked as lifting reinforcement points.

[0008] Furthermore, the truss is a large frame truss.

[0009] Furthermore, the method for obtaining the three-dimensional simulation model of the truss is specifically: modeling is performed according to the engineering drawings of the truss using modeling software, or the three-dimensional simulation model of the truss is obtained by converting the building information model (BIM model) of the truss.

[0010] Furthermore, a method for performing meshing and assembly on the three-dimensional simulation model of the truss to obtain a finite element model of the truss is specifically as follows: in a mesh module of a finite element analysis software, the three-dimensional simulation model of the truss is used as an imported component and meshed to obtain a finite element model of the truss, wherein the finite element model of the truss is composed of multiple meshes.

[0011] Optionally, performing meshing for the three-dimensional simulation model of the truss includes a seeding operation for the edges, wherein the approximate element size in the local seeds is set to an integer in the interval [2,100].

[0012] Preferably, meshing is performed for the three-dimensional simulation model of the truss, with the unit shape in the mesh control properties being set to be mainly hexahedral and the technique being set to be bottom-up.

[0013] Furthermore, a stress solution is performed for the finite element model of the truss. The method to obtain the solution is as follows: In the finite element analysis software, a solver and boundary conditions are set for the finite element model of the truss, and the solution results are output through the post-processing module. The solver is set to general static stress, and the solution results include the stress magnitude of each grid in the finite element model of the truss (during the finite element analysis simulation process).

[0014] Furthermore, the method for identifying the hidden force area in the finite element model of the truss based on the solution results is as follows: The finite element model of the truss is composed of N grids. The finite element model of the truss is composed of N grids, p(i) represents the i-th grid in the N grids, and sp(i) represents the stress magnitude of p(i); It is determined one by one whether each of the N grids meets the implicit force condition. If yes, the area formed by the grid and all its neighboring grids is recorded as the implicit force area, thereby identifying all the implicit force areas in the finite element model of the truss.

[0015] Furthermore, the method for determining whether a grid among N grids satisfies the implicit force condition is as follows: for any grid p(x) among the N grids, if the stress magnitudes of all the neighboring grids of p(x) are greater than sp(x), then p(x) is marked as satisfying the implicit force condition (in other words, if the stress magnitude of any neighboring grid of p(x) is less than sp(x), then p(x) does not satisfy the implicit force condition). The neighboring grid of p(x) (any grid among N grids) is defined as follows: let p(x) consist of multiple edges. If any of these edges overlaps with any edge of another grid, then this grid is called the neighboring grid of p(x); the other grid is any grid among the N grids except p(x).

[0016] The beneficial effect of this step is that the dynamic loads (such as inertial forces, wind vibration effects, and hoist swing) borne by large frame trusses during the hoisting process can trigger complex stress redistribution. Some areas may face potential instability risks due to sudden changes in local force flow. These areas are difficult to accurately identify using traditional empirical judgment and require reinforcement measures to ensure structural integrity during the hoisting process. The method in this step uses finite element analysis to simulate the stress of the truss hoisting. Based on the simulation results, the hidden force areas are identified. Through reinforcement measures, temporary reinforcement measures can be targeted to key weak links in force transmission, ensuring structural safety while significantly optimizing the layout efficiency of the hoisting reinforcement plan.

[0017] During the truss hoisting process, multiple stress points will affect each other, causing the load transfer paths between adjacent lifting points to overlap, thereby increasing the risk of geometric instability and structural deformation. Therefore, the identification of hidden force areas requires considering the influence of the locations of different grids on the stresses on each other.

[0018] Preferably, the method for identifying the implicit force region in the finite element model of the truss according to the solution result may also be: All the grids in N grids that meet the implicit force condition are organized into a first grid sequence according to the magnitude of the stress they are subjected to, from small to large. Let hsp(j) be the jth grid in the first grid sequence. The first algorithm is set as follows: in the finite element model of the truss, mark the shortest path from hsp(j) to hsp(j+1), record all the grids that make up the shortest path as implicit structure grids, and if the implicit structure grids satisfy the second implicit force condition, mark the implicit structure region as the implicit force region (in the finite element model of the truss); if the implicit structure grid does not satisfy the second implicit force condition, then record the region formed by hsp(j) and all the neighboring grids of hsp(j) as the implicit force region; The implicit structure region refers to: connecting the geometric center of hsp(j) with the geometric center of hsp(j+1) to obtain line segment L1, with the midpoint of line segment L1 as the center and line segment L1 as the diameter to draw a circle C, and the region consisting of all the grids inside circle C (in the finite element model of the truss) is recorded as the implicit structure region; In the first algorithm, the variable j is sequentially traversed from j=1 to j=M-1, thereby completing the labeling of all hidden force regions in the finite element model of the truss.

[0019] The beneficial effect of this step is that by introducing the implicit structural grid, the problem of high-low stress transition zones forming curvature mutation points in the local force flow transmission path is further considered on the basis of the original implicit force area, thereby causing a bypass phenomenon in the main force transmission path, resulting in the accumulation of secondary bending stresses at geometric discontinuities, and increasing the risk of generating low-strength hanging points. The method of this step determines the implicit structure grid for a pair of grids that meet the implicit force condition and are subjected to similar stresses. The second implicit force condition is further used to reproduce the spatial constraint relationship of the collaborative operation of multiple lifting points. When the stress distribution in the implicit structure grid is significantly lower than the stress distribution on both sides (the second implicit force condition, the stress distribution on both sides, i.e., the stress distribution in the respective neighborhoods of hsp(j) and hsp(j+1)), the implicit structure area determined by the implicit structure grid is used as the implicit force area. It can be seen that the implicit structure area is larger than the area determined by the original implicit force area, thereby upgrading the selection logic of the lifting reinforcement point from isolated node judgment to global force flow network analysis, ensuring that the reinforcement scheme can adapt to the dynamic migration characteristics of the force transmission path during the lifting process, thereby achieving full coverage and dynamic optimization of structural safety protection under complex and changeable working conditions.

[0020] Furthermore, the method for determining whether the implicit structure grid satisfies the second implicit force condition is as follows: the array isg is used to store the stress magnitude of each grid in the implicit structure grid, the array hspN1 is used to store the stress magnitude of hsp(j) and each neighboring grid of hsp(j), and the array hspN2 is used to store the stress magnitude of hsp(j+1) and each neighboring grid of hsp(j+1). Let SUM(isg) be the sum of all values in array isg, SUM(hspN1) be the sum of all values in array hspN1, and SUM(hspN2) be the sum of all values in array hspN2. The maximum value in array isg is denoted as MAX(isg), the maximum value in array hspN1 is denoted as MAX(hspN1), and the maximum value in array hspN2 is denoted as MAX(hspN2); If SUM(isg)÷(SUM(hspN1)+SUM(hspN1))<(MAX(hspN1)+MAX(hspN1))÷MAX(isg), the implicit structure grid is said to satisfy the second implicit force condition.

[0021] Preferably, the algorithm for finding the shortest path from hsp(j) to hsp(j+1) in the finite element model of the truss is Dijkstra's algorithm.

[0022] Optionally, after the hidden force areas in the finite element model of the truss are identified according to the solution results and marked as lifting reinforcement points, reinforcement plates are set for all lifting reinforcement points, or composite materials are used to reinforce the lifting reinforcement points.

[0023] The present invention also provides a large-scale frame truss hoisting simulation system, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of a large-scale frame truss hoisting simulation method are implemented. The large-scale frame truss hoisting simulation system can be run on computing devices such as desktop computers, laptops, mobile phones, tablet computers, PDAs, and cloud data centers. The executable systems may include, but are not limited to, processors, memories, and server clusters. The processor executes the computer program in the following system units: A model acquisition unit is used to obtain a three-dimensional simulation model of the truss and import it into the finite element analysis software; A meshing unit, used for performing meshing and assembling for the three-dimensional simulation model of the truss to obtain a finite element model of the truss; A job solving unit, used for performing stress solving for the finite element model of the truss and obtaining a solution result; The target identification unit is used to identify the hidden force area in the finite element model of the truss based on the solution results and mark it as the lifting reinforcement point.

[0024] The beneficial effects of the present invention are as follows: the method utilizes finite element simulation analysis technology to dynamically simulate the complex force changes during the lifting process, accurately lock the key positions that need to be reinforced, and identify the lifting reinforcement points based on the simulation results. The simulation model is used to identify structural weaknesses that are easily overlooked in traditional analysis, providing reliable technical support for the safe construction and cost control of large-scale projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and other features of the present invention will become more apparent through a detailed description of the embodiments shown in conjunction with the accompanying drawings. In the drawings of the present invention, the same reference numerals represent the same or similar elements. Obviously, the drawings described below are only some embodiments of the present invention. It is possible for a person skilled in the art to derive other drawings based on these drawings without inventive effort. In the drawings: Figure 1 Shown is a flow chart of a large frame truss hoisting simulation method; Figure 2 Shown is a system structure diagram of a large-scale frame truss lifting simulation system. DETAILED DESCRIPTION

[0026] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other unless there is a conflict.

[0027] In the description of the present invention, "several" means one or more, "many" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The use of "first" and "second" in the description is solely for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance, implicitly specifying the number of the indicated technical features, or implicitly specifying the order of the indicated technical features.

[0028] like Figure 1 The flowchart of a large frame truss hoisting simulation method according to the present invention is shown below. Figure 1 A large frame truss hoisting simulation method according to an embodiment of the present invention is described.

[0029] The present invention provides a large-scale frame truss hoisting simulation method, which includes the following steps: Obtain a 3D simulation model of the truss and import it into finite element analysis software; Perform meshing and assembly for the 3D simulation model of the truss to obtain a finite element model of the truss; Perform stress solution for the finite element model of the truss and obtain the solution; Based on the solution results, the hidden force areas in the finite element model of the truss are identified and marked as lifting reinforcement points.

[0030] Furthermore, the truss is a large frame truss.

[0031] Furthermore, the method for obtaining the three-dimensional simulation model of the truss is specifically: modeling is performed according to the engineering drawings of the truss using modeling software, or the three-dimensional simulation model of the truss is obtained by converting the building information model (BIM model) of the truss.

[0032] Specifically, before meshing and assembling the 3D simulation model of the truss, material parameter definition is also included. The material parameter definition uses the default parameters for steel in the standard material library built into the finite element analysis software. Alternatively, the material parameter definition at least includes: setting the elastic modulus to 210 GPa, the Poisson's ratio to 0.3, the density to 7850 kg / m³, the yield strength to 235 MPa, and the hardening modulus to 2% of the elastic modulus.

[0033] Furthermore, a method for performing meshing and assembly on the three-dimensional simulation model of the truss to obtain a finite element model of the truss is specifically as follows: in a mesh module of a finite element analysis software, the three-dimensional simulation model of the truss is used as an imported component and meshed to obtain a finite element model of the truss, wherein the finite element model of the truss is composed of multiple meshes.

[0034] Specifically, meshing is performed for the 3D simulation model of the truss, including an edge seeding operation, where the approximate element size in the local seed is set to 20.

[0035] Furthermore, a stress solution is performed for the finite element model of the truss. The method to obtain the solution is as follows: In the finite element analysis software, a solver and boundary conditions are set for the finite element model of the truss, and the solution results are output through the post-processing module. The solver is set to general static stress, and the solution results include the stress magnitude of each grid in the finite element model of the truss (during the finite element analysis simulation process).

[0036] Specifically, a solver is set for the finite element model of the truss and boundary conditions are set, where the boundary conditions include at least load boundary conditions and displacement boundary conditions. The specific setting of the boundary conditions is based on the on-site lifting plan of the large frame truss (including lifting direction, lifting route, etc.).

[0037] Furthermore, the method for identifying the hidden force area in the finite element model of the truss based on the solution results is as follows: The finite element model of the truss is composed of N grids. The finite element model of the truss is composed of N grids. p(i) represents the i-th grid in the N grids, i is the sequence number, i=1,2,…,N, and sp(i) represents the stress magnitude of p(i); It is determined one by one whether each of the N grids meets the implicit force condition. If yes, the area formed by the grid and all its neighboring grids is recorded as the implicit force area, thereby identifying all the implicit force areas in the finite element model of the truss.

[0038] Furthermore, the method for determining whether a grid among N grids satisfies the implicit force condition is as follows: for any grid p(x) among the N grids, if the stress magnitudes of all neighboring grids of p(x) are greater than sp(x), then p(x) is marked as satisfying the implicit force condition (in other words, if the stress magnitude of any neighboring grid of p(x) is less than sp(x), then p(x) does not satisfy the implicit force condition); sp(x) represents the magnitude of the stress magnitude of p(x); The neighboring grid of p(x) (any grid among N grids) is defined as follows: let p(x) consist of multiple edges. If any of these edges overlaps with any edge of another grid, then this grid is called the neighboring grid of p(x); the other grid is any grid among the N grids except p(x).

[0039] During the truss hoisting process, multiple stress points will affect each other, causing the load transfer paths between adjacent lifting points to overlap, thereby increasing the risk of geometric instability and structural deformation. Therefore, the identification of hidden force areas requires considering the influence of the locations of different grids on the stresses on each other.

[0040] Preferably, the method for identifying the implicit force region in the finite element model of the truss according to the solution result may also be: All grids that meet the implicit force condition among the N grids are organized into a first grid sequence according to the magnitude of the stress they are subjected to, from small to large. Let hsp(j) be the jth grid in the first grid sequence, where j is the sequence number, j = 1, 2, …, M, and M is the number of grids in the N grids that meet the implicit force condition. The first algorithm is set as follows: in the finite element model of the truss, mark the shortest path from hsp(j) to hsp(j+1), record all the grids that make up the shortest path as implicit structure grids, and if the implicit structure grids satisfy the second implicit force condition, mark the implicit structure region as the implicit force region (in the finite element model of the truss); if the implicit structure grid does not satisfy the second implicit force condition, then record the region formed by hsp(j) and all the neighboring grids of hsp(j) as the implicit force region; The implicit structure region refers to: connecting the geometric center of hsp(j) with the geometric center of hsp(j+1) to obtain line segment L1, with the midpoint of line segment L1 as the center and line segment L1 as the diameter to draw a circle C, and the region consisting of all the grids inside circle C (in the finite element model of the truss) is recorded as the implicit structure region; In the first algorithm, the variable j is sequentially traversed from j=1 to j=M-1, thereby completing the labeling of all hidden force regions in the finite element model of the truss.

[0041] Furthermore, the method for determining whether the implicit structure grid satisfies the second implicit force condition is as follows: the array isg is used to store the stress magnitude of each grid in the implicit structure grid, the array hspN1 is used to store the stress magnitude of hsp(j) and each neighboring grid of hsp(j), and the array hspN2 is used to store the stress magnitude of hsp(j+1) and each neighboring grid of hsp(j+1). Let SUM(isg) be the sum of all values in array isg, SUM(hspN1) be the sum of all values in array hspN1, and SUM(hspN2) be the sum of all values in array hspN2. The maximum value in array isg is denoted as MAX(isg), the maximum value in array hspN1 is denoted as MAX(hspN1), and the maximum value in array hspN2 is denoted as MAX(hspN2); If SUM(isg)÷(SUM(hspN1)+SUM(hspN1))<(MAX(hspN1)+MAX(hspN1))÷MAX(isg), the implicit structure grid is said to satisfy the second implicit force condition.

[0042] Preferably, the algorithm for finding the shortest path from hsp(j) to hsp(j+1) in the finite element model of the truss is Dijkstra's algorithm.

[0043] Optionally, after the hidden force areas in the finite element model of the truss are identified according to the solution results and marked as lifting reinforcement points, reinforcement plates are set for all lifting reinforcement points, or composite materials are used to reinforce the lifting reinforcement points.

[0044] The large-scale frame truss hoisting simulation system includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned large-scale frame truss hoisting simulation method embodiment are implemented. The large-scale frame truss hoisting simulation system can be run on computing devices such as desktop computers, laptops, mobile phones, cell phones, tablet computers, PDAs, and cloud data centers. The executable systems may include, but are not limited to, processors, memories, and server clusters.

[0045] The embodiment of the present invention provides a large-scale frame truss hoisting simulation system, such as Figure 2 As shown, a large-scale frame truss hoisting simulation system of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the large-scale frame truss hoisting simulation method embodiment are implemented. The processor executes the computer program in the following system units: A model acquisition unit is used to obtain a three-dimensional simulation model of the truss and import it into the finite element analysis software; A meshing unit, used for performing meshing and assembling for the three-dimensional simulation model of the truss to obtain a finite element model of the truss; A job solving unit, used for performing stress solving for the finite element model of the truss and obtaining a solution result; The target identification unit is used to identify the hidden force area in the finite element model of the truss based on the solution results and mark it as the lifting reinforcement point.

[0046] The large-scale frame truss hoisting simulation system can be run on computing devices such as desktop computers, laptops, PDAs, and cloud data centers. The large-scale frame truss hoisting simulation system includes, but is not limited to, a processor and a memory. Those skilled in the art will understand that the example is merely an example of a large-scale frame truss hoisting simulation method and system, and does not constitute a limitation on a large-scale frame truss hoisting simulation method and system. The system may include more or fewer components than the example, or a combination of certain components, or different components. For example, the large-scale frame truss hoisting simulation system may also include input and output devices, network access devices, buses, etc.

[0047] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete component gate circuits or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the large-scale frame truss hoisting simulation system, and utilizes various interfaces and lines to connect various sub-areas of the entire large-scale frame truss hoisting simulation system.

[0048] The memory can be used to store the computer program and / or module, and the processor realizes the various functions of the large-scale frame truss hoisting simulation method and system by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created based on the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory can include a high-speed random access memory and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0049] The present invention provides a large-scale frame truss hoisting simulation method and system. The method obtains a three-dimensional simulation model of the truss and imports it into finite element analysis software. The three-dimensional simulation model of the truss is meshed and assembled to obtain a finite element model of the truss. A stress solution is then performed on the finite element model to obtain a solution result. Based on the solution result, hidden force areas in the finite element model of the truss are identified and marked as hoisting reinforcement points. The method utilizes finite element simulation analysis technology to dynamically simulate the complex stress changes during the hoisting process, accurately pinpointing key locations requiring reinforcement, and identifies hoisting reinforcement points based on the simulation results. The simulation model is used to identify structural weaknesses that are easily overlooked in traditional analysis, providing reliable technical support for the safe construction and cost control of large-scale projects. Although the description of the present invention has been quite detailed and specifically describes several embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment, thereby effectively covering the intended scope of the present invention. Furthermore, the above description of the present invention is based on embodiments foreseen by the inventors for the purpose of providing a useful description, and non-substantial modifications to the present invention that are not currently foreseen may still represent equivalent modifications of the present invention.

Claims

1. A large frame truss hoisting simulation method, characterized in that: The method comprises the following steps: Obtain a 3D simulation model of the truss and import it into finite element analysis software; Perform meshing and assembly for the 3D simulation model of the truss to obtain a finite element model of the truss; Perform stress solution for the finite element model of the truss and obtain the solution; Based on the solution results, the hidden force areas in the finite element model of the truss are identified and marked as lifting reinforcement points.

2. A large frame truss hoisting simulation method according to claim 1, characterized in that: The truss is a large frame type truss.

3. A large frame truss hoisting simulation method according to claim 1, characterized in that: The method for obtaining the three-dimensional simulation model of the truss is specifically: modeling the truss according to the engineering drawings of the truss using modeling software, or converting the building information model of the truss into the three-dimensional simulation model of the truss.

4. A large frame truss hoisting simulation method according to claim 1, characterized in that: A method for performing meshing and assembly on a three-dimensional simulation model of a truss to obtain a finite element model of the truss is specifically as follows: in a mesh module of finite element analysis software, the three-dimensional simulation model of the truss is used as an imported component and meshed to obtain a finite element model of the truss, wherein the finite element model of the truss is composed of multiple meshes.

5. A large frame truss hoisting simulation method according to claim 1, characterized in that: Perform a stress solution for the finite element model of the truss and obtain the solution using the following method: In the finite element analysis software, a solver and boundary conditions are set for the finite element model of the truss, and the solution results are output through the post-processing module. Among them, the solver is set to be general for static stress, and the solution results include the stress magnitude of each grid in the finite element model of the truss.

6. A large frame truss hoisting simulation method according to claim 1, characterized in that: The method for identifying the hidden force area in the finite element model of the truss based on the solution results is as follows: The finite element model of the truss is composed of N grids. The finite element model of the truss is composed of N grids, p(i) represents the i-th grid in the N grids, and sp(i) represents the stress magnitude of p(i); It is determined one by one whether each of the N grids meets the implicit force condition. If yes, the area formed by the grid and all its neighboring grids is recorded as the implicit force area, thereby identifying all the implicit force areas in the finite element model of the truss.

7. A large frame truss hoisting simulation method according to claim 6, characterized in that: The method to determine whether a grid among N grids meets the implicit force condition is: for any grid p(x) among the N grids, if the stress magnitudes of all neighboring grids of p(x) are greater than sp(x), then p(x) is marked as meeting the implicit force condition.

8. A large frame truss hoisting simulation system, characterized in that: The large-scale frame truss hoisting simulation system includes: a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the large-scale frame truss hoisting simulation method described in any one of claims 1 to 7 are implemented. The large-scale frame truss hoisting simulation system runs on a desktop computer, a laptop computer, a handheld computer, or a computing device in a cloud data center.

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