BIM-based high-rise building steel structure model deepened design method and system
By establishing a universal node library and data -driven model reuse method, combined with the simulation wind load CFD model for wind resistance experiments, it solves the problem of complex design and lack of data integration of high -rise housing steel structure nodes, and improves wind resistance and design efficiency.
Patent Information
- Application Number
- CN202411957448.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-01-24
- Estimated Expiration
- 2044-12-30
AI Technical Summary
The node design of steel structures in high-rise buildings is complicated, and it is prone to problems such as stress concentration or construction difficulty. In addition, the data integration between different majors is insufficient, the model is prone to conflicts, and it is difficult to effectively carry out wind and earthquake resistance design.
By establishing a general node library and a data-driven model reuse method, we can quickly find the existing BIM model that best matches the current project requirements and conduct initial in-depth design; then build a simulated wind load CFD model, conduct wind resistance experiments, and calculate the wind resistance index. And based on the results, local optimization is carried out to improve the wind resistance of the steel structure.
Deepen the design time, improve the design efficiency, ensure the wind resistance of the steel structure of high -rise housing, and reduce the design cycle and cost.
Smart Images

Figure CN119358119A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of building information modeling, and in particular to a method and system for in-depth design of a high-rise building steel structure model based on BIM. Background Art
[0002] BIM stands for Building Information Modeling, which is a digital technology that integrates all relevant data of a construction project through a three-dimensional model, covering building information at different stages such as design, construction, and operation and maintenance.
[0003] High-rise building steel structure refers to the structural form of high-rise buildings that mainly use steel materials such as steel beams, steel columns and steel plates as load-bearing skeleton materials. It has the advantages of high strength, light weight and good seismic performance. It is mainly used in high-rise residential, office buildings, commercial buildings and tower buildings.
[0004] The wind-resistant design of high-rise building structures is one of the key factors to ensure building safety. The node design of high-rise steel structures is complex, and it is easy to have problems such as stress concentration or difficulty in construction. It has to face the test of safety factors such as wind resistance and earthquake resistance. In addition, the data integration between different disciplines such as architecture, structure, electromechanical and fire protection is insufficient, and the model is prone to conflicts. Through BIM technology, an accurate steel structure model is established to simulate the structural response under wind load, and the model is optimized to reduce the wind vibration effect.
[0005] BIM technology can also be used in the in-depth design of steel structures. By modeling and analyzing complex nodes, the optimal and most convenient node form for construction operations can be obtained, thereby improving the efficiency of in-depth design and automatically generating processing drawings and component reports as the basis for cutting, assembly and settlement.
[0006] Therefore, a method and system for in-depth design of high-rise building steel structure model based on BIM was proposed. Summary of the invention
[0007] The purpose of the present invention is to provide a BIM-based high-rise house steel structure model deepening design method and system, by establishing a general node library, shortening the deepening design time and improving the deepening design efficiency; selecting the most similar existing BIM model through the high-rise house project keyword vector and data-driven model reuse method, and using the existing model to perform preliminary steel structure deepening design to improve the deepening design efficiency; then by building a simulated wind load CFD model, a wind resistance experiment is carried out on the initial deepening high-rise house steel structure model, and data is collected and the wind resistance index is calculated for the wind resistance monitoring point, and the local steel structure is optimized according to the wind resistance index, and finally the deepening high-rise house steel structure model is obtained.
[0008] To achieve the above object, the present invention provides the following technical solutions: A method for in-depth design of a high-rise steel structure model based on BIM, comprising: Establish a general node library based on node types, node parameters and standard modules; Furthermore, the general node library includes: The general node library includes node types, node parameters, standard modules, node templates and design tools; wherein the node types include beam-column nodes, support nodes, welded nodes and bolt nodes; the node parameters include geometric dimensions, material parameters and connection methods; the standard modules include beam-column connection standard modules, support structure standard modules and seismic resistance modules.
[0009] Establish a data-driven model reuse method by acquiring keyword vectors, matching keyword vectors, and calculating matching scores; Acquire and process data of a high-rise housing project to obtain a keyword vector of the high-rise housing project, and perform retrieval according to the keyword vector of the high-rise housing project and the data-driven model reuse method to obtain the most similar existing BIM model; Further, searching according to the high-rise housing project keyword vector and the data-driven model reuse method includes: Obtain relevant data of the high-rise housing project and perform data cleaning to obtain the first project keyword. The relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data; Using a natural language processing tool to perform keyword extraction on the first project keywords to obtain an architectural feature keyword vector, a structural feature keyword vector, and an environmental feature keyword vector, and merging the architectural feature keyword vector, the structural feature keyword vector, and the environmental feature keyword vector to obtain a keyword vector for the high-rise housing project; Using a word frequency algorithm to measure the frequency of occurrence of elements in the keyword vector of the high-rise housing project, and obtaining the keyword importance weight according to the frequency of occurrence; According to the keyword vector of the high-rise housing project, the existing BIM model in the BIM database is retrieved, and the matching score is calculated. The calculation formula of the matching score is: ; in, represents the matching score, Indicates the first The number of times an element appears, represents the number of times all elements in the keyword vector of the high-rise housing project appear, Indicates the first The number of times an element appears in the existing BIM model. represents the length of the keyword vector of the high-rise housing project; The existing BIM model with the highest matching score is obtained to obtain the most similar existing BIM model.
[0010] Calling stored data from the general node library according to the data of the most similar existing BIM model, and performing a detailed design of the high-rise building steel structure to obtain an initial detailed high-rise building steel structure model; Furthermore, the high-rise building steel structure model after initial deepening includes: Extract geometric features, material parameter features, node information features and force analysis features from the most similar existing BIM model; wherein the geometric features include height, number of floors, column grid size and beam span, the material parameter features include steel strength, elastic modulus and density, the node information features include node connection mode and node bearing capacity, and the force analysis features include key bearing components and bearing requirements; Compare the data of the most similar existing BIM model with the project requirements to identify components and nodes that can be directly reused; Adjust the size of steel structure components according to the needs of high-rise housing projects; Adjust the materials of steel structure according to the requirements of high-rise housing projects; The standard module is called from the general node library, and the nodes are parametrically adjusted to obtain the initial detailed high-rise building steel structure model.
[0011] Obtain the high-rise building steel structure model after the initial deepening and perform analysis and processing on key nodes to obtain a set of wind resistance monitoring points; obtain and process historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model; Furthermore, the wind resistance monitoring point set includes: Using BIM software to obtain a three-dimensional model of the high-rise building steel structure model after the initial deepening, and obtain model structure data, wherein the model structure data includes node coordinates, component information and force distribution; Performing data cleaning and preprocessing on the model structure data to obtain key part data; Selecting a first wind resistance monitoring point and a second wind resistance monitoring point according to the key position data, wherein the first wind resistance monitoring point is located at the top, corner and facade of the model, and the second wind resistance monitoring point is located at the support node and beam-column node; Acquire all of the first wind resistance monitoring points and the second wind resistance monitoring points to obtain the wind resistance monitoring point set.
[0012] Furthermore, the wind load simulation CFD model includes: The historical weather data of high-rise housing projects include wind speed, wind direction, temperature, humidity and air pressure; the ways to obtain historical weather data include meteorological data platforms, open source meteorological data and on-site meteorological measurements; obtain historical weather data and clean and pre-process it to obtain complete weather data; Importing the initially deepened high-rise building steel structure model into CFD software and performing meshing; According to the complete weather data, boundary conditions are set in the CFD model, and the boundary conditions include wind speed boundary conditions and wind direction settings; wherein the wind speed boundary conditions are to set the wind speed field around the building according to the maximum wind speed in the historical data, and the wind direction is set to determine the simulated wind direction according to the historical wind direction data.
[0013] Conducting a wind resistance test on the high-rise building steel structure model after the initial deepening according to the simulated wind load CFD model; Furthermore, the wind resistance test includes: Use CFD software to perform fluid calculations and simulate the effects of wind. The CFD simulation will provide the distribution of the wind velocity field around the high-rise steel structure model after the initial deepening, the wind force, and the wind load on the model surface; When performing the wind resistance experiment, data of the wind resistance monitoring point is collected and processed to obtain the wind resistance index of the wind resistance monitoring point.
[0014] The data of the wind resistance monitoring points in the wind resistance experiment are obtained and processed to obtain a wind resistance index; the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold are obtained to obtain a set of steel structure points to be adjusted, and the steel structure is adjusted; Furthermore, the wind resistance index includes: The wind resistance index of the wind resistance monitoring point is calculated according to the wind load and the steel structure vibration amplification factor. The calculation formula of the wind resistance index is: ; in, represents the wind resistance index, represents the weight coefficient of the wind load, It indicates the wind pressure coefficient, which is related to factors such as building shape and wind direction. represents the air density, Indicates wind speed, Indicates the wind-exposed area. represents the weight coefficient of the steel structure vibration amplification factor, represents the natural frequency, represents the wind load frequency, Represents the damping ratio.
[0015] Further, the steel structure adjustment includes: Acquire all the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold value, and obtain the set of steel structure points to be adjusted; Obtain the steel structure point to be adjusted and optimize the geometric shape of the building facade; obtain the node data of the steel structure point to be adjusted and replace the existing node from the general node library; After all the steel structure points to be adjusted have been adjusted, the wind resistance test is carried out again.
[0016] Furthermore, after the adjustment is completed, the next round of wind resistance experiment is carried out until the wind resistance indexes of all the wind resistance monitoring points are less than or equal to the preset wind resistance index threshold value, thereby obtaining the deepened high-rise building steel structure model.
[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. Extract project keywords through natural language processing tools, calculate the importance weight based on the frequency of occurrence of keywords, and then calculate the matching score and sort the existing BIM models. This can quickly and accurately retrieve the existing models that best match the current project requirements from the BIM database; this data-driven model reuse method reduces repetitive modeling work, quickly finds highly matching models, and improves the efficiency of in-depth design.
[0018] 2. By extracting the geometric features, material parameter features, node information features and force analysis features of the most similar existing BIM model, a mature basic design can be quickly obtained, and components and nodes that can be directly reused can be confirmed, which greatly shortens the initial design time and reduces the design cycle; by calling the standard modules in the general node library, the workload of manual node design can be reduced, saving manpower and time costs.
[0019] 3. By rationally selecting wind resistance monitoring points, it is possible to ensure that the wind resistance performance of high-rise buildings is fully monitored at key locations, accurately evaluate the effects of wind loads at different locations, and identify potential wind resistance problems in advance; the wind resistance index is calculated by combining wind loads and steel structure vibration amplification factors, which can comprehensively consider factors such as wind speed, wind direction, building shape, wind load frequency and vibration characteristics to provide a more accurate wind resistance assessment; through wind resistance experiments, the steel structure model of high-rise buildings is locally optimized, which improves the overall wind resistance, optimizes the steel structure in-depth design process, and improves the efficiency of in-depth design. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 A flowchart of a method for deepening design of a high-rise building steel structure model based on BIM provided in an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a general node library provided by an embodiment of the present invention; Figure 3A structural schematic diagram of a BIM-based high-rise building steel structure model in-depth design system provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0022] Embodiment 1 This embodiment provides a method for deepening the design of a high-rise building steel structure model based on BIM. The process is as follows: Figure 1 As shown in the figure, firstly, a general node library is established according to the node type, node parameters and standard modules. Part of the structure of the general node library is as follows Figure 2 As shown; Further, Figure 2 A branch of a beam-column node in the node type of the general node library is shown. The beam-column node branch includes the material parameters of the beam and column, the force analysis data of the beam and column, and the connection method of the beam and column. The force analysis data includes the bearing capacity of the beam-column node, and the connection method includes the specific method of connecting the beam-column node.
[0023] Furthermore, the general node library includes: The general node library includes node types, node parameters and standard modules, node templates and design tools; wherein the node types include beam-column nodes, support nodes, welded nodes and bolt nodes, the node parameters include geometric dimensions, material parameters and connection methods, and the standard modules include beam-column connection standard modules, support structure standard modules and seismic resistance modules.
[0024] Furthermore, the node template is a pre-defined standardized model or format of node design, which is used to quickly generate node design solutions; the design tool is a professional module that assists in designing nodes and is used to optimize the node design process.
[0025] The universal node library pre-classifies and stores data such as node types and parameters. The system or designers can quickly call standardized nodes without having to design from scratch, thereby improving design efficiency, reducing repetitive design work, and improving design consistency. The integrated design tools can interact directly with the BIM model to achieve integrated operations from extracting node data from the model to design optimization.
[0026] Establish a data-driven model reuse method by acquiring keyword vectors, matching keyword vectors, and calculating matching scores; Acquire and process data of a high-rise housing project to obtain a keyword vector of the high-rise housing project, and perform retrieval according to the keyword vector of the high-rise housing project and the data-driven model reuse method to obtain the most similar existing BIM model; Further, searching according to the high-rise housing project keyword vector and the data-driven model reuse method includes: Obtain relevant data of the high-rise housing project and perform data cleaning to obtain the first project keyword. The relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data; Using a natural language processing tool to perform keyword extraction on the first project keywords to obtain an architectural feature keyword vector, a structural feature keyword vector, and an environmental feature keyword vector, and merging the architectural feature keyword vector, the structural feature keyword vector, and the environmental feature keyword vector to obtain a keyword vector for the high-rise housing project; Using a word frequency algorithm to measure the frequency of occurrence of elements in the keyword vector of the high-rise housing project, and obtaining the keyword importance weight according to the frequency of occurrence; According to the keyword vector of the high-rise housing project, the existing BIM model in the BIM database is retrieved, and the matching score is calculated. The calculation formula of the matching score is: ; in, represents the matching score, Indicates the first The number of times an element appears, represents the number of times all elements in the keyword vector of the high-rise housing project appear, Indicates the first The number of times an element appears in the existing BIM model. represents the length of the keyword vector of the high-rise housing project; The existing BIM model with the highest matching score is obtained to obtain the most similar existing BIM model.
[0027] Table 1. Keyword vectors and matching scores of some models
[0028] Table 1 shows the keyword vectors of some existing BIM models and the matching scores between the models and the current project. Among them, the BIM model numbered M004 has the highest matching score with the current project and can be selected as the most similar existing BIM model.
[0029] By calculating the matching score and performing automated retrieval, you can quickly find the existing BIM model that best matches the current project requirements, reducing the time for manual screening; with the help of the most similar existing BIM model, you can directly draw on the basic model and save time designing from scratch.
[0030] Calling stored data from the general node library according to the data of the most similar existing BIM model, and performing a detailed design of the high-rise building steel structure to obtain an initial detailed high-rise building steel structure model; Furthermore, the high-rise building steel structure model after initial deepening includes: Extract geometric features, material parameter features, node information features and force analysis features from the most similar existing BIM model; wherein the geometric features include height, number of floors, column grid size and beam span, the material parameter features include steel strength, elastic modulus and density, the node information features include node connection mode and node bearing capacity, and the force analysis features include key bearing components and bearing requirements; Furthermore, the data of the most similar existing BIM model is compared with the project requirements to confirm the components and nodes that can be directly reused; Furthermore, the component sizes of the steel structure are adjusted according to the requirements of the high-rise housing project; the materials of the steel structure are adjusted according to the requirements of the high-rise housing project; standard modules are called from the general node library, and the nodes are parametrically adjusted to obtain the initial deepened high-rise housing steel structure model.
[0031] By extracting data from the most similar existing BIM model and adjusting and optimizing the initial detailed high-rise building steel structure model, the design efficiency, accuracy and safety are effectively improved, while the design cost is reduced and standardization and collaborative design are promoted, providing comprehensive support for efficient and high-quality steel structure engineering design.
[0032] Obtain the high-rise building steel structure model after the initial deepening and perform analysis and processing on key nodes to obtain a set of wind resistance monitoring points; obtain and process historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model; Furthermore, the wind resistance monitoring point set includes: Using BIM software to obtain a three-dimensional model of the high-rise building steel structure model after the initial deepening, and obtain model structure data, wherein the model structure data includes node coordinates, component information and force distribution; Performing data cleaning and preprocessing on the model structure data to obtain key part data; Selecting a first wind resistance monitoring point and a second wind resistance monitoring point according to the key position data, wherein the first wind resistance monitoring point is located at the top, corner and facade of the model, and the second wind resistance monitoring point is located at the support node and beam-column node; Acquire all of the first wind resistance monitoring points and the second wind resistance monitoring points to obtain the wind resistance monitoring point set.
[0033] By selecting the first wind resistance monitoring point and the second wind resistance monitoring point, comprehensive coverage and monitoring of key parts are achieved to ensure the accuracy and comprehensiveness of wind load monitoring. Focus is placed on selecting parts with complex forces and easily affected by wind loads to facilitate the evaluation of overall wind resistance performance.
[0034] Furthermore, the wind load simulation CFD model includes: The historical weather data of high-rise housing projects include wind speed, wind direction, temperature, humidity and air pressure; the ways to obtain historical weather data include meteorological data platforms, open source meteorological data and on-site meteorological measurements; obtain historical weather data and clean and pre-process it to obtain complete weather data; Importing the initially deepened high-rise building steel structure model into CFD software and performing meshing; According to the complete weather data, boundary conditions are set in the CFD model, and the boundary conditions include wind speed boundary conditions and wind direction settings; wherein the wind speed boundary conditions are to set the wind speed field around the building according to the maximum wind speed in the historical data, and the wind direction is set to determine the simulated wind direction according to the historical wind direction data.
[0035] The wind load CFD model is built using the historical weather data of the project location to ensure that the simulation results of wind speed and wind direction are highly consistent with the actual wind environment. By setting the maximum wind speed boundary conditions and simulating the wind direction of historical wind direction data, the wind resistance of the steel structure under extreme weather conditions is evaluated to improve the safety and reliability of the design.
[0036] Conducting a wind resistance test on the high-rise building steel structure model after the initial deepening according to the simulated wind load CFD model; The data of the wind resistance monitoring points in the wind resistance experiment are obtained and processed to obtain a wind resistance index; the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold are obtained to obtain a set of steel structure points to be adjusted, and the steel structure is adjusted; Furthermore, the CFD model can provide the wind pressure distribution at different locations of the model. These wind pressures are used to calculate wind loads. The magnitude and direction of wind loads will vary depending on the wind speed, wind direction, and building shape. Furthermore, the wind resistance test includes: Use CFD software to perform fluid calculations and simulate the effects of wind. The CFD simulation will provide the distribution of the wind velocity field around the high-rise steel structure model after the initial deepening, the wind force, and the wind load on the model surface; When performing the wind resistance experiment, data of the wind resistance monitoring point is collected and processed to obtain the wind resistance index of the wind resistance monitoring point.
[0037] Through wind resistance experiments, the CFD model can be used to achieve refined evaluation and optimization of the building's wind resistance performance, which not only significantly improves the scientificity and safety of the design, but also effectively controls costs and shortens the design cycle.
[0038] Furthermore, the wind resistance index includes: The wind resistance index of the wind resistance monitoring point is calculated according to the wind load and the steel structure vibration amplification factor. The calculation formula of the wind resistance index is: ; in, represents the wind resistance index, represents the weight coefficient of the wind load, It indicates the wind pressure coefficient, which is related to factors such as building shape and wind direction. represents the air density, Indicates wind speed, Indicates the wind-exposed area. represents the weight coefficient of the steel structure vibration amplification factor, represents the natural frequency, represents the wind load frequency, Represents the damping ratio.
[0039] Furthermore, as shown in Table 2, the wind resistance index of some wind resistance monitoring points is set at a threshold of 0.9. It can be seen from the table that the numbers FK3, FK7 and FK8 do not meet the requirements and need to be adjusted in the steel structure.
[0040] By using wind load and steel structure vibration amplification factor to calculate the wind resistance index of the wind resistance monitoring point, we can comprehensively evaluate the wind resistance performance of the steel structure, comprehensively evaluate the wind resistance capacity of the building, accurately identify key locations with insufficient wind resistance, and guide the optimal design of the steel structure.
[0041] Table 2. Wind resistance index of some wind resistance monitoring points
[0042] Further, the steel structure adjustment includes: Acquire all the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold value, and obtain the set of steel structure points to be adjusted; Obtain the steel structure point to be adjusted and optimize the geometric shape of the building facade to reduce the impact area of the wind load, such as using rounded corners instead of sharp corners and optimizing the direction of the wing plate; obtain the node data of the steel structure point to be adjusted and replace the existing nodes with higher strength from the general node library; After all the steel structure points to be adjusted have been adjusted, the wind resistance test is carried out again.
[0043] Table 3 shows the final wind resistance index of some wind resistance monitoring points. When the wind resistance index of all monitoring points is less than 0.9, it means that the wind resistance of the model meets the standard and the detailed design of the high-rise building steel structure is completed.
[0044] Table 3. Final wind resistance index
[0045] By structurally adjusting and optimizing all the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold, the wind resistance capacity of the corresponding wind resistance monitoring points is improved, the stability of the model is improved, and the efficiency of the in-depth design of the steel structure of the high-rise building is improved.
[0046] Furthermore, after completing the detailed design of the high-rise steel structure, the detailed design document is output, which includes automatically generated construction details of the nodes, including the size, material, connection method and processing requirements of the nodes, and provides cross-sections and 3D views to facilitate construction personnel to understand the design intent. The material list and processing list are exported to provide a basis for post-purchase and manufacturing.
[0047] First, a general node library is established to provide a large number of existing nodes and models to improve design efficiency and avoid repeated design work; then, the existing BIM model that best meets the current project requirements is retrieved through the data-driven model reuse method, and the in-depth design of the high-rise building steel structure is carried out to improve the design efficiency; a wind load CFD model is built to simulate the weather at the project site, and a wind resistance experiment is carried out. By calculating the wind resistance index of the wind resistance monitoring point and screening out the wind resistance monitoring points that need to be adjusted, the nodes and modules are replaced, which improves the bearing capacity and stability of the monitoring points, and improves the wind resistance performance of the wind resistance monitoring points; a closed-loop process is formed through scientific design, experimental verification and optimized execution, which effectively improves the wind resistance performance of the high-rise building steel structure and optimizes the in-depth design of the high-rise building steel structure.
[0048] Embodiment 2 Table 4 shows part of the project data of the high-rise residential project in Area A. Now, a BIM-based high-rise house steel structure model in-depth design system is provided by the present invention. The system structure is as follows: Figure 3 As shown, the high-rise steel structure of the project is further designed, and the specific implementation methods are as follows: Table 4. Project data
[0049] The general node library module is used to establish a general node library according to node types, node parameters and standard modules; A model retrieval module is used to obtain and process data of a high-rise housing project to obtain a keyword vector of the high-rise housing project, and to perform retrieval based on the keyword vector of the high-rise housing project and the data-driven model reuse method to obtain the most similar existing BIM model; Further, searching according to the high-rise housing project keyword vector and the data-driven model reuse method includes: acquiring relevant data of the high-rise housing project and performing data cleaning to obtain a first project keyword, wherein the relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data; Using a natural language processing tool to perform keyword extraction on the first project keywords to obtain an architectural feature keyword vector, a structural feature keyword vector, and an environmental feature keyword vector, and merging the architectural feature keyword vector, the structural feature keyword vector, and the environmental feature keyword vector to obtain a keyword vector for the high-rise housing project; Using a word frequency algorithm to measure the frequency of occurrence of elements in the keyword vector of the high-rise housing project, and obtaining the keyword importance weight according to the frequency of occurrence; According to the keyword vector of the high-rise housing project, the existing BIM model in the BIM database is retrieved, and the matching score is calculated. The calculation formula of the matching score is: ; in, represents the matching score, Indicates the first The number of times an element appears, represents the number of times all elements in the keyword vector of the high-rise housing project appear, Indicates the first The number of times an element appears in the existing BIM model. represents the length of the keyword vector of the high-rise housing project; The existing BIM model with the highest matching score is obtained to obtain the most similar existing BIM model.
[0050] Table 5. Keyword vectors and matching scores of some models
[0051] Table 5 shows the matching scores of the keyword vectors of some existing models. The matching scores can be used to quickly find the most similar existing BIM model.
[0052] A preliminary detailed design module is used to call the stored data from the general node library according to the data of the most similar existing BIM model, and perform a detailed design of the high-rise building steel structure to obtain an initial detailed high-rise building steel structure model; A wind load model building module is used to obtain the high-rise building steel structure model after the initial deepening and analyze and process key nodes to obtain a set of wind resistance monitoring points; obtain and process historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model; The steel structure optimization module is used to obtain and process the data of the wind resistance monitoring points in the wind resistance experiment to obtain a wind resistance index; obtain the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold, obtain a set of steel structure points to be adjusted, and adjust the steel structure; after the adjustment is completed, conduct the next round of wind resistance experiment.
[0053] Furthermore, the wind resistance index includes: The wind resistance index of the wind resistance monitoring point is calculated according to the wind load and the steel structure vibration amplification factor. The calculation formula of the wind resistance index is: ; in, represents the wind resistance index, represents the weight coefficient of the wind load, It indicates the wind pressure coefficient, which is related to factors such as building shape and wind direction. represents the air density, Indicates wind speed, Indicates the wind-exposed area. represents the weight coefficient of the steel structure vibration amplification factor, represents the natural frequency, represents the wind load frequency, Represents the damping ratio.
[0054] Furthermore, as shown in Table 6, the wind resistance index of the first wind resistance experiment of some wind resistance monitoring points still exists with wind resistance monitoring points greater than the preset threshold of 0.8, and multiple wind resistance experiments need to be conducted.
[0055] Table 6. Wind resistance index of some wind resistance monitoring points
[0056] Furthermore, until the wind resistance indexes of all the wind resistance monitoring points are less than or equal to the preset wind resistance index threshold, the refined high-rise building steel structure model is obtained.
[0057] By using a BIM-based high-rise building steel structure model in-depth design system provided by the present invention, a rapid in-depth design of the high-rise building steel structure is achieved, the wind resistance of the high-rise building is improved, and the stability and safety of the high-rise building are guaranteed.
[0058] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A method for in-depth design of a high-rise building steel structure model based on BIM, characterized in that: include: Establish a general node library based on node types, node parameters and standard modules; Establish a data-driven model reuse method by acquiring keyword vectors, matching keyword vectors, and calculating matching scores; Acquire and process data of a high-rise housing project to obtain a keyword vector of the high-rise housing project, and perform retrieval according to the keyword vector of the high-rise housing project and the data-driven model reuse method to obtain the most similar existing BIM model; According to the data of the most similar existing BIM model, the stored data is called from the general node library, and the in-depth design of the high-rise building steel structure is performed to obtain an initial in-depth high-rise building steel structure model; Obtain the high-rise building steel structure model after the initial deepening and perform analysis and processing on key nodes to obtain a set of wind resistance monitoring points; obtain and process historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model; Conducting a wind resistance test on the high-rise building steel structure model after the initial deepening according to the simulated wind load CFD model; The data of the wind resistance monitoring points in the wind resistance experiment are obtained and processed to obtain a wind resistance index; the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold are obtained to obtain a set of steel structure points to be adjusted, and the steel structure is adjusted; After the adjustment is completed, the next round of wind resistance test is carried out until the wind resistance index of all the wind resistance monitoring points is less than or equal to the preset wind resistance index threshold, and the deepened high-rise building steel structure model is obtained.
2. A method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1, characterized in that: The general node library includes: The general node library includes node types, node parameters, standard modules, node templates and design tools; wherein the node types include beam-column nodes, support nodes, welded nodes and bolt nodes; the node parameters include geometric dimensions, material parameters and connection methods; the standard modules include beam-column connection standard modules, support structure standard modules and seismic resistance modules.
3. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: Retrieving according to the high-rise housing project keyword vector and the data-driven model reuse method includes: Obtain relevant data of the high-rise housing project and perform data cleaning to obtain the first project keyword. The relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data; Using a natural language processing tool to perform keyword extraction on the first project keywords to obtain an architectural feature keyword vector, a structural feature keyword vector, and an environmental feature keyword vector, and merging the architectural feature keyword vector, the structural feature keyword vector, and the environmental feature keyword vector to obtain a keyword vector for the high-rise housing project; Using a word frequency algorithm to measure the occurrence frequency of elements in the keyword vector of the high-rise housing project, and obtaining the keyword importance weight according to the occurrence frequency; The existing BIM model in the BIM database is retrieved according to the keyword vector of the high-rise housing project, and a matching score is calculated. The calculation formula of the matching score is: ; in, represents the matching score, Indicates the first The number of times an element appears, represents the number of occurrences of all elements in the keyword vector of the high-rise housing project, Indicates the first The number of times an element appears in the existing BIM model. represents the length of the keyword vector of the high-rise housing project; The existing BIM model with the highest matching score is obtained to obtain the most similar existing BIM model.
4. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The high-rise building steel structure model after initial deepening includes: Extract geometric features, material parameter features, node information features and force analysis features from the most similar existing BIM model; wherein the geometric features include height, number of floors, column grid size and beam span, the material parameter features include steel strength, elastic modulus and density, the node information features include node connection mode and node bearing capacity, and the force analysis features include key bearing components and bearing requirements; Compare the data of the most similar existing BIM model with the project requirements and identify the components and nodes that can be directly reused; Adjust the size of steel structure components according to the needs of high-rise housing projects; Adjust the materials of steel structure according to the requirements of high-rise housing projects; The standard module is called from the general node library, and the nodes are parametrically adjusted to obtain the initial detailed high-rise building steel structure model.
5. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The wind resistance monitoring point set includes: Acquire and process the three-dimensional model of the high-rise building steel structure model after the initial deepening to obtain model structure data, wherein the model structure data includes node coordinates, component information and force distribution; Performing data cleaning and preprocessing on the model structure data to obtain key part data; Selecting a first wind resistance monitoring point and a second wind resistance monitoring point according to the key part data, wherein the first wind resistance monitoring point includes the top, corner and facade of the model, and the second wind resistance monitoring point includes the support node and the beam-column node; Acquire all of the first wind resistance monitoring points and the second wind resistance monitoring points to obtain the wind resistance monitoring point set.
6. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The wind load simulation CFD model includes: The historical weather data of high-rise housing projects include wind speed, wind direction, temperature, humidity and air pressure; the ways to obtain historical weather data include meteorological data platforms, open source meteorological data and on-site meteorological measurements; obtain historical weather data and clean and pre-process it to obtain complete weather data; Importing the initially deepened high-rise building steel structure model into CFD software and performing meshing; According to the complete weather data, boundary conditions are set in the CFD model, and the boundary conditions include wind speed boundary conditions and wind direction settings; wherein the wind speed boundary conditions are to set the wind speed field around the building according to the maximum wind speed in the historical data, and the wind direction is set to determine the simulated wind direction according to the historical wind direction data.
7. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The wind resistance test includes: Using CFD software to perform fluid calculations and simulate the effects of wind, the simulated wind load CFD model provides the distribution of the wind velocity field around the high-rise building steel structure model after the initial deepening, the wind force, and the wind load on the model surface; When performing the wind resistance experiment, data of the wind resistance monitoring point is collected and processed to obtain the wind resistance index of the wind resistance monitoring point.
8. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 7 is characterized in that: The wind resistance index includes: The wind resistance index of the wind resistance monitoring point is calculated according to the wind load and the steel structure vibration amplification factor. The calculation formula of the wind resistance index is: ; in, represents the wind resistance index, represents the weight coefficient of the wind load, It represents the wind pressure coefficient, which is related to the building shape and wind direction; represents the air density, Indicates wind speed, Indicates the wind-exposed area. represents the weight coefficient of the steel structure vibration amplification factor, represents the natural frequency, represents the wind load frequency, Represents the damping ratio.
9. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1, characterized in that: Steel structure adjustments include: Acquire all the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold value, and obtain the set of steel structure points to be adjusted; Obtain the steel structure point to be adjusted and optimize the geometric shape of the building facade; obtain the node data of the steel structure point to be adjusted and replace the existing node from the general node library; After all the steel structure points to be adjusted have been adjusted, the wind resistance test is carried out again.
10. A BIM-based high-rise building steel structure model in-depth design system, characterized in that: include: The general node library module is used to establish a general node library according to node types, node parameters and standard modules; A model retrieval module is used to obtain and process data of a high-rise housing project to obtain a keyword vector of the high-rise housing project, and to perform retrieval based on the keyword vector of the high-rise housing project and the data-driven model reuse method to obtain the most similar existing BIM model; A preliminary detailed design module is used to call the stored data from the general node library according to the data of the most similar existing BIM model, and perform a detailed design of the high-rise building steel structure to obtain an initial detailed high-rise building steel structure model; A wind load model building module is used to obtain the high-rise building steel structure model after the initial deepening and analyze and process key nodes to obtain a set of wind resistance monitoring points; obtain and process historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model; The steel structure optimization module is used to obtain and process the data of the wind resistance monitoring points in the wind resistance experiment to obtain a wind resistance index; obtain the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold, obtain a set of steel structure points to be adjusted, and adjust the steel structure; after the adjustment, conduct the next round of wind resistance experiments until the wind resistance indexes of all the wind resistance monitoring points are less than or equal to the preset wind resistance index threshold, and obtain a deepened high-rise building steel structure model.
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