Steel frame structure fire resistance evaluation method based on substructure and digital twinning and related equipment

Abstract

The invention discloses a substructure and digital twinning-based steel frame structure fire resistance evaluation method and related equipment, and the method comprises the steps: building a digital twinning model corresponding to a whole steel frame structure based on a digital twinning mode, and simulating the response of the steel frame structure under a fire condition; and meanwhile, verification is carried out through substructure fire resistance test data of the steel frame structure. According to the scheme, simulation and prediction of the fire resistance of the steel structure are achieved based on the substructure fire resistance test and the digital twinning technology, and compared with a traditional method, the accuracy and reliability of fire resistance analysis of the structure are effectively improved; the structural design and fireproof measures are optimized; the test cost, time and risk are obviously reduced; and the application of the digital twin model in the engineering field is promoted. The method can be widely applied to the field of constructional engineering, and has important significance for improving the fire resistance of buildings and reducing fire risks.

Description

Technical Field

[0001] The present invention relates to a technical method for fire resistance analysis of building structures in the field of civil engineering, and in particular to a fire resistance analysis method for steel frame structures based on substructure fire resistance tests and digital twin technology. Background Art

[0002] As a new type of building structure system, steel structure has the advantages of high strength, assembly, high efficiency and flexibility, and is widely used in high-rise buildings, large-span structures and special buildings. However, in the event of a fire, steel structures are easily affected by high temperatures, resulting in reduced strength, which affects the safety of the structure and even poses a major threat to personnel safety. Therefore, it is of great significance to study and evaluate the fire resistance of steel frame structures.

[0003] At present, the fire resistance performance evaluation methods of steel frame structures mainly include numerical simulation evaluation methods and experimental evaluation methods. Among them, the numerical simulation method can more accurately describe the mechanical properties and thermal response of the structure, but its results are affected by many factors, such as material parameters, boundary conditions, model assumptions, etc., and lack experimental verification. The experimental research method can directly observe the thermal response and mechanical properties of the structure. It is an important means to understand the fire resistance performance of the structure under actual fire, verify the theoretical analysis model of the structure, and test the structural fire resistance design method and research results. However, its experimental technology is difficult, the economic cost is high, the preparation time is long, and it is difficult to conduct a large number of tests. Summary of the invention

[0004] In view of the problems existing in the existing fire resistance performance evaluation schemes for steel frame structures, the purpose of the present invention is to provide a fire resistance performance evaluation method for steel frame structures based on substructures and digital twins. The evaluation method realizes efficient, accurate and economical evaluation of the fire resistance performance of steel structures through the organic combination of substructure fire resistance tests and digital twin verification. At the same time, the present invention also provides related equipment that can implement the fire resistance performance evaluation method for steel frame structures.

[0005] In order to achieve the above-mentioned objectives, the present invention provides a method for evaluating the fire resistance of a steel frame structure based on substructures and digital twins. A digital twin model corresponding to the entire steel frame structure is established based on a digital twin approach to simulate the response of the steel frame structure under fire conditions. At the same time, it is verified through the fire resistance test data of the substructure of the steel frame structure.

[0006] In some examples of the present invention, the fire resistance performance evaluation method of the steel frame structure includes:

[0007] (1) Conduct substructure test: Select corresponding steel frame substructure as the test object for fire resistance test, so as to obtain at least the temperature distribution, displacement field and stress field data of the test substructure under fire scenario;

[0008] (2) Establishing a substructure simulation model: Using finite element software, a refined numerical model of the substructure is established, and meshing is performed based on the geometric dimensions and material properties of the substructure;

[0009] (3) Establishing a digital twin model: Based on the data generated by the substructure simulation model, the entire steel frame structure is twinned to establish a digital twin model of the steel frame structure.

[0010] In some examples of the present invention, the method for evaluating the fire resistance of a steel frame structure also includes a substructure verification step, which is based on the substructure simulation model established in step (2), and compares and analyzes the data generated by the simulation of the fire scene in step (1) with the corresponding substructure test data to verify the accuracy of the simulation model.

[0011] In some examples of the present invention, the method for evaluating the fire resistance of a steel frame structure also includes a fire development and structural response prediction step, and the temperature distribution and stress conditions of the steel frame structure under different fire scenarios are predicted based on the simulation results of the digital twin model and the fire scene; the safety and stability of the structure under a fire scenario can be evaluated by analyzing the stress and temperature distribution of the structure.

[0012] In some instances of the present invention, the method for evaluating the fire resistance of a steel frame structure also includes a fire resistance design and optimization step, and fire resistance design and optimization are performed based on the stress and thermal response of the steel frame structure in different fire scenarios simulated by a digital twin model; the fire resistance of the structure can be improved by optimizing the cross-sectional shape, material selection, node connection method, etc.; at the same time, parameters such as the weight and cost of the structure can be further introduced to comprehensively consider the economy and feasibility of the design scheme.

[0013] In some embodiments of the present invention, the substructure test in step (1) is a static test, a dynamic test or a modal test.

[0014] In some examples of the present invention, when establishing the digital twin model of the steel frame structure in step (3), firstly, a physical model under three-dimensional geometry and high temperature conditions is constructed, and then the data-driven model and the physical model are integrated to perform multi-disciplinary and multi-physical quantity simulation to ensure real-time interaction between the model and the physical space, and verify and optimize the model through a feedback mechanism.

[0015] In some examples of the present invention, the fire resistance analysis in step (4) is performed by numerical simulation.

[0016] In order to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium having a program stored thereon, characterized in that when the program is executed by a processor, the above-mentioned method steps for evaluating the fire resistance performance of a steel frame structure are implemented.

[0017] In order to achieve the above-mentioned purpose, the present invention also provides a terminal device, which includes a processor, a memory, and a program stored in the memory and executable on the processor, characterized in that the program code is loaded and executed by the processor to implement the steps of the above-mentioned method for evaluating the fire resistance performance of a steel frame structure.

[0018] In order to achieve the above object, the present invention also provides a computer program product, characterized in that when executed on a data processing device, it is suitable for executing the steps of the above-mentioned steel frame structure fire resistance performance evaluation method.

[0019] The fire resistance assessment scheme for steel frame structures provided by the present invention has the following advantages compared with the prior art:

[0020] 1. The scheme of the present invention can realize accurate prediction of the fire resistance performance of steel frame structures: by adopting the organic coordination between substructure tests and digital twin models, the fire resistance performance of steel frame structures under different fire scenarios can be simulated and predicted more accurately, effectively improving the accuracy and reliability of the prediction results.

[0021] 2. The scheme of the present invention can optimize the design and fire prevention measures of the steel frame structure: by analyzing the prediction results, the design and fire prevention measures of the steel frame structure can be optimized to improve its fire resistance and reduce the risk of fire.

[0022] 3. The scheme of the present invention effectively reduces the test cost and time: by adopting the substructure test method, representative test data can be obtained on a smaller test scale, thereby reducing the test cost and time.

[0023] 4. The scheme of the present invention effectively promotes the application of digital twin models in the engineering field: The scheme of the present invention adopts the method of digital twin models to predict and analyze the fire resistance of steel frame structures, effectively promotes the application of digital twin models in the engineering field, and provides new ideas and methods for engineering design and safety assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments.

[0025] Figure 1 This is a schematic diagram of the fire resistance performance evaluation of a steel frame structure based on a substructure fire resistance test and digital twin technology in an example of the present invention. DETAILED DESCRIPTION

[0026] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further described below with reference to specific diagrams.

[0027] In response to the problems faced by the fire resistance performance evaluation scheme of steel frame structures, the present invention innovatively realizes a more efficient, accurate and economical steel structure fire resistance performance analysis and evaluation based on the organic coordination between substructure fire resistance tests and digital twin models.

[0028] The fire resistance analysis and evaluation method of steel frame structure provided in the present invention introduces the digital twin model into the fire resistance analysis and evaluation of the steel frame structure, establishes a fine numerical model of the steel frame structure by using the digital twin method, simulates the response of the steel frame structure under fire conditions, and verifies it through the substructure fire resistance test data of the steel frame structure, thereby improving the analysis accuracy and reliability.

[0029] It should be noted that the steel frame structure may include a multi-story building or other types of building structures.

[0030] Specifically, the fire resistance analysis and evaluation method of the steel frame structure provided by the present invention is mainly composed of the following steps:

[0031] Step (1) Conducting substructure test: Selecting a corresponding steel frame substructure as a test object for a fire resistance test to obtain data such as temperature distribution, stress and deformation of the test substructure under a fire scenario.

[0032] As an example, the substructure test in this step may be a static test, a dynamic test or a modal test.

[0033] Step (2) Establishing a substructure simulation model: Establishing a refined numerical model of the substructure through finite element software, and performing meshing based on the geometric dimensions and material properties (especially the physical and mechanical properties of the material at high temperatures) of the substructure.

[0034] In this way, based on the established substructure simulation model and combined with the fire scene set in step (1), the thermal effects in the simulated fire environment can be loaded on specific nodes and surfaces through the temperature field to reflect the heat transfer process under a real fire.

[0035] Step (3) Substructure verification: Based on the substructure simulation model established in step (2), the data generated by the fire scene simulation in step (1) are compared and analyzed with the corresponding substructure test data to verify the accuracy of the simulation model.

[0036] Step (4) establishing a digital twin model: based on the data generated by the simulation of the substructure simulation model verified in step (3), a twin simulation is performed on the entire steel frame structure (including the substructure and the remaining structure) to establish a digital twin model of the steel frame structure.

[0037] The digital twin model established in this step needs to include the geometric information, material parameters, node connection methods, loads and other information of the structure, as well as the temperature, stress and deformation parameters obtained from the test data in step (1).

[0038] The digital twin model established in this step analyzes the fire resistance performance test data of the substructure in different fire scenarios, thereby simulating and predicting the temperature distribution and mechanical response of the entire steel frame structure in the corresponding fire scenarios.

[0039] Step (5) Simulating different fire scenarios: Using the digital twin model established in step (4), simulate and analyze the fire resistance of the steel frame structure in different fire scenarios, and calculate the corresponding parameters such as temperature, stress, and deformation. In this step, different parameters such as the location of the fire source, the size of the fire, and the duration can be considered to simulate the temperature distribution and stress conditions of the steel frame structure under different fire scenarios.

[0040] As an example, in this step, the digital twin model is numerically analyzed, and the response of the steel frame structure under fire conditions is simulated through finite element analysis and other methods, and its temperature field, stress field, deformation and other parameters are calculated.

[0041] Step (6) Fire development and structural response prediction: Based on the digital twin model of the steel frame structure and the simulation results of the fire scene, the temperature distribution and stress of the steel frame structure under different fire scenes are predicted. The safety and stability of the structure under fire scenes can be evaluated by analyzing the stress and temperature distribution of the structure.

[0042] Step (7) Fire resistance design and optimization: Fire resistance design and optimization are performed based on the stress and thermal response of the steel frame structure under different fire scenarios simulated by the digital twin model.

[0043] This step realizes the application of the digital twin model to the fire resistance analysis of the entire steel frame structure. The digital twin model is used to analyze its fire resistance performance under fire conditions, including structural damage, collapse, instability, etc., to optimize the design of the steel frame structure.

[0044] For example, the fire resistance of the structure can be improved by optimizing the cross-sectional shape, material selection, node connection method, etc. At the same time, parameters such as the weight and cost of the structure can be further introduced to comprehensively consider the economy and feasibility of the design solution.

[0045] In some embodiments of the scheme of the present invention, when establishing the digital twin model of the steel frame structure in step (4), the scheme of the present invention preferably constructs a physical model under three-dimensional geometry and high temperature conditions, integrates the data-driven model with the physical model to perform multi-disciplinary and multi-physical quantity simulation, ensures real-time interaction between the model and the physical space, and verifies and optimizes the model through a feedback mechanism.

[0046] As a further explanation, when constructing the three-dimensional geometry and the physical model under high temperature conditions, it is preferred to use CAD or BIM mode to construct the three-dimensional geometry and the physical model under high temperature conditions.

[0047] Based on this, the solution of the present invention utilizes digital twin technology to achieve dynamic synchronization between physical entities and digital models, and combines finite element analysis with building information modeling to simulate structural performance.

[0048] In specific implementation, the solution of the present invention is based on sensor technology for real-time monitoring, builds a visualization platform based on BIM, enhances intelligent prediction capabilities through machine learning, analyzes different working conditions through multidisciplinary simulation, and ensures a real-time interactive mechanism that synchronizes the model with the actual state, thereby providing a scientific basis for the fire resistance performance evaluation of steel frame structures.

[0049] In some embodiments of the scheme of the present invention, the scheme of the present invention also includes a digital twin model verification step: the digital twin model established in step (4) is divided into several substructures, and each substructure is compared and verified with the corresponding substructure test data based on the data simulated in step (3), and the accuracy of the digital twin model is verified by comparing the temperature distribution, stress, deformation and other data of the substructure. At the same time, through the digital twin learning mode, the test data obtained in step (1) is compared with the predicted results of the numerical model to obtain the actual mechanical performance parameters of the steel frame structure.

[0050] As an example, the digital twin learning algorithm used in this step can adopt a deep learning algorithm based on a neural network, or other hybrid model learning algorithms.

[0051] With respect to the fire resistance analysis and evaluation method of steel frame structure provided by the present invention, the implementation process of the scheme of the present invention is explained below through corresponding examples.

[0052] The digital twin fire resistance performance analysis and evaluation process based on the steel frame substructure test in this example mainly includes the following steps:

[0053] 1. Selection of experimental substructure.

[0054] The selection of substructures of steel frame structures mainly includes the determination of their boundary constraints and boundary load conditions.

[0055] In some embodiments, the boundary constraint conditions for the substructure of the steel frame structure may be calculated and determined by a corresponding finite element analysis model.

[0056] Furthermore, the method for determining the boundary constraint conditions of the substructure finite element analysis model is as follows:

[0057] (a) The entire steel frame structure is decomposed into several substructures, and the boundary nodes of each substructure are determined as the corresponding boundary nodes of the entire steel frame structure.

[0058] As a further explanation, here, when the entire steel frame structure is decomposed into several substructures, the decomposition target is first clarified, then the key components (such as beams, columns, nodes, etc.) are identified, and finally the decomposition is performed based on the function and connection relationship. Furthermore, by analyzing the function, connection form and material properties of the components, combined with the condition parameters such as load type, component importance and use function, each substructure is reasonably divided, and its boundary conditions and loading conditions are defined to ensure that the interaction and overall performance can be accurately reflected during simulation and analysis.

[0059] (b) For each substructure decomposed in step (a), a separate finite element analysis is performed separately, using standard finite element analysis software (such as ANSYS, ABAQUS, etc.), defining nodes and unit types for each substructure, performing meshing, and calculating the number of degrees of freedom for each substructure. For the structural performance under high temperature conditions, nonlinear finite element analysis is used to consider material yield and large deformation characteristics.

[0060] (c) Based on step (b), in the finite element model, according to the boundary nodes that have been meshed, the connection mode between the components of each substructure is clarified, and based on the number of degrees of freedom of each substructure calculated and determined in step (b) and the corresponding boundary conditions (i.e., the displacement constraint type of the boundary nodes of the corresponding components in the substructure), the constraint type of the substructure is determined, including displacement constraint and force constraint. Specifically, the implementation process of this step includes the following sub-steps:

[0061] (c1) The overall structure includes the substructure and the remaining structure (i.e., the portion of the overall structure excluding the substructure). A unit displacement is applied to any spatial displacement or rotational degree of freedom of the connection node between the substructure and the remaining structure, and the other degrees of freedom remain fixed. The constraint reaction forces at all displacements and rotational nodes are calculated and determined accordingly.

[0062] (c2) calculating a ratio of the constraint reaction force calculated in step (c1) to the applied displacement applied in step (c1), thereby determining the constraint stiffness of the current boundary node at the selected degree of freedom;

[0063] (c3) Select the next boundary node degree of freedom and repeat steps (c1) to (c2) until the constraint stiffness of all boundary nodes is obtained.

[0064] (d) The displacement constraints and force constraints of all boundary nodes calculated and determined in step (c) are combined in a unified format (such as a matrix format, where the rows of the matrix can represent each boundary node, the columns can represent each degree of freedom, and the elements in the matrix indicate the type and value of the constraint) to obtain the boundary conditions of the entire structure.

[0065] 2. Design and production of test substructure.

[0066] According to the boundary constraint conditions of the substructure determined by calculation in step 1, the substructure of the steel frame structure is designed and manufactured.

[0067] The substructure constructed here includes components such as columns and beams, on which sensors such as temperature measuring points, displacement gauges, and strain gauges are set.

[0068] Specifically, the sensors are arranged at key positions of the substructure (such as the ends, mid-spans, and joints of beams and columns), and a data acquisition system with appropriate accuracy is installed to achieve real-time monitoring of parameters such as temperature, displacement, and strain under fire conditions. Based on this, a device capable of simulating multiple loads (such as dead loads, live loads, and fire loads) is designed in the test to ensure that the actual use status is restored as much as possible in the experimental environment.

[0069] 3. Fire scenario assumptions and test data collection.

[0070] The test substructure constructed in step (2) is placed in a set fire scenario (such as a standard fire scenario or other specific fire model) for fire resistance testing. During the test, the temperature distribution, stress state, strain change and other data of the substructure are recorded using temperature measuring points and strain gauges arranged on key components to ensure that the temperature-stress response characteristics of the components under the fire environment are captured.

[0071] 4. Establishment of simulation model.

[0072] In this step, a refined numerical model of the substructure is established by finite element software, and meshing is performed based on the geometric dimensions and material properties (especially the physical and mechanical properties of the material at high temperatures) of the substructure. Combined with the fire scene set in step (3), the thermal effects in the simulated fire environment are loaded on specific nodes and surfaces through the temperature field to reflect the heat transfer process under a real fire.

[0073] Specifically, it can simulate the degradation of material properties caused by high temperature, capture the stress redistribution, thermal deformation and buckling phenomena of the substructure under a fire environment, and thus complete the thermal-mechanical coupling numerical simulation of the substructure.

[0074] 5. Interaction between simulation model and experimental data.

[0075] The numerical simulation data (temperature, displacement, strain, etc.) obtained in step (4) are compared with the substructure test data collected in step (3), and the numerical model established in step (4) is iteratively corrected to improve the precision and accuracy of the simulation.

[0076] 6. Establishment of digital model of digital twin.

[0077] Based on the modified numerical model in step (5), a twin simulation is performed on the entire steel frame structure (including substructures and remaining structures), so that the actual response of the steel frame structure in disaster events such as fire can be obtained, thereby determining its fire resistance performance.

[0078] It should be specifically explained here that in step 1 of this example, the selection of the substructure is based on the main factors of the structural fire resistance performance, such as the fire scenario and the structural form.

[0079] In step 1 of this example, the construction of the substructure is made to conform to the actual usage of the steel frame structure, and sufficient sensors are set to obtain accurate data.

[0080] In step 3 of this example, the fire scene is set as needed. For example, the standard fire scene can be set according to national or industry standards. During the test, the temperature, displacement, strain and other data of the substructure should be recorded, and the stability and accuracy of the sensor should be ensured during the test.

[0081] In step 4 of this example, a corresponding numerical model is established based on the actual design parameters and material parameters of the steel frame structure. When establishing the model, parameters related to various factors that may exist in actual use of this example, such as load, temperature change, etc., are also introduced.

[0082] In step 5 of this example, when comparing the numerical simulation results with the test data, a step-by-step correction approach can be used to gradually improve the accuracy of the simulation results until the simulation results are in good agreement with the test data. Specifically, first compare the numerical simulation results with the test data, identify key differences, and set priority parameters. By fine-tuning key parameters such as the high-temperature performance of the material and boundary conditions item by item, gradually reduce errors, and optimize the temperature and stress responses in different regions to accurately reproduce the thermal-mechanical coupling behavior in the fire scene. After each adjustment, evaluate the consistency of the simulation results with the test data. When the convergence standard is reached, confirm the accuracy of the model under fire conditions, and provide a reliable basis for fire resistance performance analysis.

[0083] The following is a specific application example to further illustrate the fire resistance performance analysis and evaluation scheme of the steel frame structure given in this example.

[0084] See also Figure 1 In the specific application of the fire resistance performance analysis and evaluation scheme of the steel frame structure given in this example, a physical entity, i.e., the corresponding substructure of the steel frame structure, and a digital model, i.e., the digital model of the steel frame structure, are constructed. The interactive mapping between the digital model and the physical entity is realized through the corresponding connection data, so that the digital model is gradually optimized based on the test data, real-time boundary conditions and physical state in the physical entity, and the next state of the physical entity is predicted.

[0085] Based on this, the corresponding application implementation process is as follows:

[0086] Step 1, establish a finite element model of the substructure of the steel frame structure;

[0087] 1.1 Based on the corresponding finite element software, such as ANSYS or ABAQUS, etc., a finite element model of the substructure of the steel frame structure is established.

[0088] 1.2 Determine the constitutive relations and mechanical parameters of the model material, such as elastic modulus, yield strength, thermal expansion coefficient, etc.

[0089] 1.3 Apply fire loads to the model, such as standard fire curves or actual fire loads, and perform thermal-structural coupling analysis to obtain data such as the temperature field and deformation of the steel frame structure.

[0090] Step 2: Design substructure test;

[0091] 2.1 Design and preparation of substructure: According to the actual situation, design and prepare the steel frame substructure that meets the test requirements, including cross-sectional shape, node connection method, material selection, etc.

[0092] 2.2 Preparation of fire test site: According to the test requirements, select a suitable fire test site and ensure that the site meets the safety requirements and test requirements. Before the test, it is necessary to conduct on-site safety inspections and test preparations to ensure the smooth progress of the test.

[0093] 2.3 Development of test plan: According to the test requirements, develop a detailed test plan, including test parameters, test methods, test equipment, etc. The test plan here needs to be reviewed and safety evaluated to ensure the safety and reliability of the test.

[0094] Step 3, conducting substructure test;

[0095] 3.1 Installation of test equipment: According to the test plan, install the test equipment, including heating equipment, temperature sensors, mechanical load equipment, etc., to monitor the temperature, displacement, strain, etc. of the test object. The test equipment needs to be debugged and inspected to ensure normal operation of the equipment and accurate data collection.

[0096] 3.2 Test conduct: According to the test plan, the test operation is carried out, including the setting of test parameters (such as test temperature, loading method and test duration, etc.), the start-up of the test device, the collection of test data, etc. During the test, on-site monitoring and safety assessment are required to ensure test safety and data reliability.

[0097] 3.3 Processing and analysis of test data: Process and analyze the test data, including analysis of temperature distribution, mechanical response, structural damage, etc. Numerical simulation and other methods can be used to further analyze and predict the test data.

[0098] 3.4 Evaluation and summary of results: Based on the test results, the fire resistance performance of the steel frame substructure in the fire scenario is evaluated, and the test results are summarized and generalized. Further research questions and suggestions can be proposed to guide subsequent research and practical work.

[0099] It should be noted here that when conducting fire resistance tests on steel frame substructures, the test safety specifications and operating procedures must be strictly followed to ensure the safety and reliability of the test. At the same time, attention should also be paid to the selection and maintenance of test equipment and test sites to ensure the accuracy and long-term reliable operation of the test equipment.

[0100] Step 4: finite element model calibration;

[0101] 4.1 Process and analyze the substructure test data to obtain the characteristic parameters of the test data, such as extreme values, peak values, etc.

[0102] 4.2 Compare the test data with the simulation data of the finite element model constructed in step (a), and calibrate the model using an optimization algorithm so that the finite element model can more accurately reflect the test results.

[0103] Step 5: Digital twin verification;

[0104] 5.1 Using the model calibration data, the digital twin verification of the overall finite element model of the steel frame structure is carried out to verify the accuracy and reliability of the model.

[0105] 5.2 Compare the prediction results of the digital twin model with the experimental data to evaluate the accuracy and reliability of the digital twin model.

[0106] Step 6: Digital Twin Fire Resistance Analysis and Prediction

[0107] 6.1 Use the digital twin model to predict and analyze the fire resistance performance of steel frame structures under different fire scenarios.

[0108] 6.2 Based on the analysis results, optimize the structural design and fire protection measures to improve the fire resistance of the steel frame structure.

[0109] Step 7: Optimization of fire resistance performance of steel frame structure

[0110] According to the fire resistance performance evaluation results, the design of the structure is optimized. The fire resistance of the structure can be improved by adjusting the cross-sectional shape, material selection, node connection method, support reinforcement design, etc.

[0111] From the above examples, it can be seen that the fire resistance performance analysis and evaluation scheme of steel frame structure provided by the present invention has the following advantages over the traditional overall fire resistance design and analysis method:

[0112] 1. Higher analysis accuracy: The substructure fire resistance analysis method used in the present invention can more accurately consider the response and damage of structures in different parts under the action of fire, thereby more accurately evaluating the fire resistance and safety performance of the structure.

[0113] 2. Higher analysis efficiency: The substructure fire resistance analysis method is used in the solution of the present invention to decompose a large structure into multiple substructures for independent analysis, which can effectively reduce the analysis complexity and calculation amount of the entire structure, thereby improving the analysis efficiency.

[0114] 3. Higher design flexibility: The substructure fire resistance analysis method adopted in the scheme of the present invention can carry out different fire resistance designs and fire prevention measures for structures in different parts, further improving the overall fire resistance of the structure.

[0115] 4. Reduce design costs: The substructure fire resistance analysis method adopted in the scheme of the present invention can select appropriate substructure division method and fire resistance analysis method according to the structural characteristics and fire resistance requirements of different parts, thereby reducing the difficulty and cost of fire resistance design.

[0116] 5. More in line with actual engineering needs: The substructure fire resistance analysis method adopted in the scheme of the present invention can better adapt to different types of engineering structures and fire resistance requirements, and is more in line with the needs of actual engineering design and construction.

[0117] From the above examples, it can be seen that the fire resistance performance analysis and evaluation scheme of steel frame structure provided by the present invention has the following advantages over the traditional overall fire resistance design and analysis method:

[0118] 1. Higher analysis accuracy: The substructure fire resistance analysis method used in the present invention can more accurately consider the response and damage of structures in different parts under the action of fire, thereby more accurately evaluating the fire resistance and safety performance of the structure.

[0119] 2. Higher analysis efficiency: The substructure fire resistance analysis method is used in the solution of the present invention to decompose a large structure into multiple substructures for independent analysis, which can effectively reduce the analysis complexity and calculation amount of the entire structure, thereby improving the analysis efficiency.

[0120] 3. Higher design flexibility: The substructure fire resistance analysis method adopted in the scheme of the present invention can carry out different fire resistance designs and fire prevention measures for structures in different parts, further improving the overall fire resistance of the structure.

[0121] 4. Reduce design costs: The substructure fire resistance analysis method adopted in the scheme of the present invention can select appropriate substructure division method and fire resistance analysis method according to the structural characteristics and fire resistance requirements of different parts, thereby reducing the difficulty and cost of fire resistance design.

[0122] 5. More in line with actual engineering needs: The substructure fire resistance analysis method adopted in the scheme of the present invention can better adapt to different types of engineering structures and fire resistance requirements, and is more in line with the needs of actual engineering design and construction.

[0123] Based on the above-mentioned steel frame structure fire resistance performance analysis and evaluation scheme, an embodiment of the present invention further provides a computer-readable storage medium on which a program is stored, and when the program is executed by a processor, the steps of the above-mentioned steel frame structure fire resistance performance analysis and evaluation method are implemented.

[0124] An embodiment of the present invention further provides a processor, which is used to run a program, wherein the program executes the steps of the above-mentioned steel frame structure fire resistance performance analysis and evaluation method when running.

[0125] An embodiment of the present invention also provides a terminal device, which includes a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program code is loaded and executed by the processor to implement the steps of the above-mentioned steel frame structure fire resistance performance analysis and evaluation method.

[0126] The present invention also provides a computer program product which, when executed on a data processing device, is suitable for executing the steps of the above-mentioned method for analyzing and evaluating the fire resistance performance of a steel frame structure.

[0127] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0128] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0129] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0130] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products of the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0131] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0132] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0133] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0134] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0135] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0136] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0137] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0138] The above-mentioned method of the present invention, or a specific system unit, or a part of the same, is a pure software architecture, which can be arranged on a physical medium, such as a hard disk, an optical disk, or any electronic device (such as a smart phone, a computer-readable storage medium) through program code. When the machine loads the program code and executes it (such as a smart phone loading and executing it), the machine becomes a device for implementing the present invention. The above-mentioned method and device of the present invention can also be transmitted in the form of program code through some transmission media, such as cables, optical fibers, or any transmission mode. When the program code is received, loaded and executed by a machine (such as a smart phone), the machine becomes a device for implementing the present invention.

[0139] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A fire resistance performance evaluation method for steel frame structures based on substructures and digital twins, characterized in that: Based on the digital twin method, a digital twin model corresponding to the entire steel frame structure is established to simulate the response of the steel frame structure under fire conditions; at the same time, it is verified through the substructure fire resistance test data of the steel frame structure.

2. The method for evaluating fire resistance of a steel frame structure according to claim 1, characterized in that: The fire resistance performance evaluation method of the steel frame structure includes: (1) Conduct substructure test: Select corresponding steel frame substructure as the test object for fire resistance test, so as to obtain at least the temperature distribution, displacement field and stress field data of the test substructure under fire scenario; (2) Establishing a substructure simulation model: Using finite element software, a refined numerical model of the substructure is established, and meshing is performed based on the geometric dimensions and material properties of the substructure; (3) Establishing a digital twin model: Establishing a digital twin model: Based on the data generated by the substructure simulation model, the entire steel frame structure is twinned to establish a digital twin model of the steel frame structure.

3. The method for evaluating fire resistance of a steel frame structure according to claim 2, characterized in that: The method for evaluating the fire resistance of a steel frame structure also includes a substructure verification step, which is based on the substructure simulation model established in step (2). The data generated by simulating the fire scene in step (1) are compared and analyzed with the corresponding substructure test data to verify the accuracy of the simulation model.

4. The method for evaluating fire resistance of a steel frame structure according to claim 2, characterized in that: The method for evaluating the fire resistance of steel frame structures also includes a fire development and structural response prediction step, which predicts the temperature distribution and stress conditions of the steel frame structure under different fire scenarios based on the simulation results of the digital twin model and the fire scenario.

5. The method for evaluating fire resistance of a steel frame structure according to claim 2, characterized in that: The method for evaluating the fire resistance performance of a steel frame structure also includes a fire resistance design and optimization step, and fire resistance design and optimization are performed based on the stress and thermal response of the steel frame structure under different fire scenarios simulated by a digital twin model.

6. The method for evaluating fire resistance of a steel frame structure according to claim 2, characterized in that: The substructure test in step (1) is performed by static test, dynamic test or modal test.

7. The method for evaluating fire resistance of a steel frame structure according to claim 2, characterized in that: When establishing the digital twin model of the steel frame structure in the step (3), a physical model under three-dimensional geometry and high temperature conditions is constructed, and then the data-driven model and the physical model are integrated for simulation, so that the physical model and the physical space can interact in real time, and the model is verified and optimized through a feedback mechanism.

8. The method for evaluating fire resistance of a steel frame structure according to claim 2, characterized in that: In the step (3), fire resistance analysis is performed by numerical simulation.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method for evaluating the fire resistance of a steel frame structure according to any one of claims 1 to 8 are implemented.

10. A computer program product, characterized in that When executed on a data processing device, it is suitable for executing the steps of the method for evaluating the fire resistance performance of a steel frame structure according to any one of claims 1 to 8.

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