Comprehensive performance evaluation method and system driven by knowledge and data for large steel structures

Abstract

The present invention belongs to the field of steel structure health monitoring, and provides a comprehensive performance evaluation method and system driven by knowledge and data of large steel structures. The technical solution is to simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data; consider the combined effect of loads, based on the sensitivity analysis of structural components, construct static performance and stability performance evaluation indicators based on component monitoring data; establish structural dynamic performance indicators based on structural dynamic characteristics; screen static performance, stability performance evaluation indicators, and structural dynamic performance indicators to obtain a large steel structure performance index system; combine mechanical performance analysis data and large steel structure performance index system to obtain steel structure damage level evaluation results and steel structure service life prediction results. Solve the problem of lack of unified evaluation standards and specifications, and realize intelligent, interactive, and comprehensive performance evaluation of large steel structures.

Description

Technical Field

[0001] The present invention belongs to the field of steel structure health monitoring, and in particular relates to a comprehensive performance evaluation method and system for large steel structures driven by both knowledge and data. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Large steel structures, due to their superior mechanical properties and economic efficiency, play a crucial role in modern construction and contribute significantly to ensuring human well-being and economic development. However, large steel structures are subject to a variety of load combinations and complex environmental influences during their service life. Structural damage, such as corrosion, joint damage, and component failure, can severely impact their performance and safety. Systematic assessment of large steel structures to ensure their safety and functionality is crucial for maintaining public safety and extending their lifespan.

[0004] In practice, assessments face a number of challenges. The sheer size and sheer number of components in large steel structures make comprehensive monitoring and evaluation of all components impractical and unnecessary. While the performance of structural components is an important component of a structural evaluation system, cost and efficiency considerations necessitate a more precise and targeted approach.

[0005] Due to the lack of unified assessment standards and norms, assessment methods and results may vary across regions and countries, further increasing the difficulty of assessment. Furthermore, the limitations of assessment technology and the lack of professional experience challenge the accuracy and reliability of assessment results.

[0006] Large steel structures exhibit significant differences in performance degradation and safety status across different service stages, operating environments, and geological and weather conditions. This variability complicates assessments and makes accurate evaluation difficult.

[0007] Existing steel structure performance evaluation methods, such as the one with publication number CN 115034001 A and the invention name "A method, system, equipment and medium for evaluating the bearing performance of corroded steel structures", rely on scanning the corrosion characteristics of local areas of the steel structure to represent the corrosion condition of the entire structure. If the selected local area cannot fully represent the corrosion condition of the entire structure, the evaluation results may be biased. When establishing a random characterization model of the corroded surface, the preset corrosion dynamics model may not cover all actual corrosion conditions, especially for non-uniform corrosion and complex corrosion morphology. As the structure is used and the environment changes, the corrosion situation will continue to develop, and the model needs to be updated and re-evaluated regularly. Environmental factors and the like may have an impact on the corrosion process, but these factors may not be fully considered in the model. Summary of the Invention

[0008] In order to solve at least one technical problem existing in the above-mentioned background technology, the present invention provides a comprehensive performance evaluation method and system for large-scale steel structures driven by both knowledge and data. It constructs a diversified hierarchical standardized indicator system based on sensitivity analysis and practical correction of structural robustness evaluation methods, and realizes intelligent, interactive and comprehensive performance evaluation of large-scale steel structures through new monitoring technology, data fusion analysis and multi-attribute decision-making methods.

[0009] In order to achieve the above object, the present invention adopts the following technical solutions:

[0010] A first aspect of the present invention provides a comprehensive performance evaluation method for large steel structures driven by both knowledge and data, comprising the following steps:

[0011] Simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data;

[0012] Considering the combined effects of loads, analyze the importance of structural components, identify important components, and establish static and stability performance evaluation indicators for important components;

[0013] Establish structural dynamic performance indicators based on structural dynamic characteristics;

[0014] Screen static performance, stability performance evaluation indicators, and structural dynamic performance indicators, and construct a large-scale steel structure performance index system according to the set multiple dimensions;

[0015] The steel structure performance evaluation results are obtained by combining the acquired multi-source data, mechanical properties analysis data and large-scale steel structure performance index system.

[0016] Furthermore, the importance analysis of structural components and determination of important components by considering the combined effects of loads includes:

[0017] Calculate the maximum displacement ratio under each load combination separately, take the average value of the maximum displacement ratio under all load combinations, and obtain the comprehensive preliminary importance index of the component;

[0018] The calculation process of the maximum displacement ratio under each load is:

[0019] Calculate the maximum displacement of a steel structure under a given load combination in its original state without weakening any components , weakening the cross-section of each key component one by one, simulating its performance degradation or damage, and calculating the maximum displacement of the structure under the same load combination ;

[0020] For each weakened component, combine and The ratio of the maximum displacement is calculated.

[0021] Furthermore, the construction process of the static performance and stability performance evaluation index of important components includes:

[0022] For the static performance index, for axially loaded and bending components, we draw on the evaluation method for component bearing capacity in the building reliability appraisal standard, analyze the load performance of the rods under multiple load combinations, and obtain the static performance strength index of the axial and bending components.

[0023] In the stability performance index part, axial force and bending are comprehensively considered, and the monitoring data along the main axis direction is determined according to the cross-sectional stress distribution law. The stress-stability relationship is established, and the stability performance strength index of the axial component and the bending component is calculated.

[0024] Furthermore, the static performance strength index of the axial component is:

[0025] ,

[0026] The static performance strength index of flexural members is:

[0027] ,

[0028] in, It is the static performance strength index of the axial component. It is The load factor for each load combination, It is The axial force under each load combination, is the cross-sectional area of ​​the component, is the number of load combinations, It is the static performance strength index of bending members. It is The bending moment under each load combination, is the section modulus;

[0029] Stability performance indicators of axial components:

[0030] ,

[0031] Stability performance indicators of bending members:

[0032] ,

[0033] in, It is the stability performance index of the axial component. is the critical load of the axial member, is the load applied to the axial member; It is the stability performance index of bending members. is the critical bending moment of the flexural member, is the bending moment applied to the flexural member.

[0034] Furthermore, the establishment of structural dynamic performance indicators based on structural dynamic characteristics includes:

[0035] Based on the assumptions of node hinge, mass concentration and rigid body, the steel structure is simplified into a multi-degree-of-freedom system and the free vibration equation is obtained.

[0036] The free vibration equation is solved according to the quasi-static method to obtain the structural dynamic characteristics. The structural natural vibration frequency in the structural dynamic characteristics is selected to establish the structural dynamic performance index.

[0037] Furthermore, the structural dynamic performance index is:

[0038] ,

[0039] in, is the minimum natural frequency obtained by solving the eigenvalue problem, is the basic natural frequency.

[0040] Furthermore, when screening static performance, stability performance evaluation indicators, and structural dynamic performance indicators, the indicators are screened based on the importance of each indicator, the degree of correlation between the indicators, and the degree of distinction.

[0041] Furthermore, the performance index system of large steel structures is expressed as:

[0042] ,

[0043] in, is a safety indicator, is the applicability indicator, is the durability index, is an economic indicator;

[0044] Safety indicators Expressed as:

[0045] ,

[0046] Applicability indicators Expressed as:

[0047] ,

[0048] Durability index Expressed as:

[0049] ,

[0050] Economic indicators Expressed as:

[0051] .

[0052] Furthermore, the steel structure performance evaluation results obtained by combining the acquired multi-source data, mechanical performance analysis data and large-scale steel structure performance index system include:

[0053] Combining sensory data, twin data, mechanical performance analysis data, and the constructed steel structure status diagnosis model to obtain structural status knowledge;

[0054] Acquire knowledge from multiple sources, including expert knowledge bases, national and industry standards, historical reference knowledge, on-site manual preliminary judgment results, and common sense knowledge;

[0055] Structural state knowledge, knowledge from multiple sources, and the performance index system of large steel structures are input into the large language model, and unified knowledge encoding is performed to obtain the steel structure performance evaluation results.

[0056] A second aspect of the present invention provides a comprehensive performance evaluation system for large steel structures driven by both knowledge and data, comprising:

[0057] Mechanical analysis module, which is used to simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data;

[0058] The index system construction module is used to consider the combined effects of loads, analyze the importance of structural components, identify important components, and construct static and stability performance evaluation indicators for important components; establish structural dynamic performance indicators based on structural dynamic characteristics; screen static performance, stability performance evaluation indicators, and structural dynamic performance indicators, and construct a large-scale steel structure performance index system according to the set multiple dimensions;

[0059] The performance evaluation module is used to combine the acquired multi-source data, mechanical performance analysis data and large-scale steel structure performance index system to obtain steel structure performance evaluation results.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] 1. The present invention proposes a structural robustness assessment method based on importance analysis and practical correction, providing a "point-to-field" overall mechanical performance information basis for comprehensive performance evaluation; establishes a diversified hierarchical standardized indicator system for long-term service performance evaluation of large steel structures, forms a scientific construction process for the evaluation indicator system including discussions with participating units throughout the entire life cycle of steel structures, consultation with field experts, and analysis of national industry standards, and studies multi-level screening of the indicator system and structural optimization methods.

[0062] 2. Due to the complexity of large-scale steel structures and the diversity of construction scenarios, establishing a comprehensive structural performance index system during the design and operation and maintenance of large-scale steel structures is the key to ensuring structural safety, functional applicability, durability and economic efficiency.

[0063] 3. The invention provides a large-scale steel structure operation and maintenance standard based on a new monitoring method, intelligent detection technology, data fusion analysis and result evaluation, proposes a comprehensive performance evaluation method for large-scale steel structures, and constructs an intelligent engine for steel structure status diagnosis, evaluation and early warning to achieve intelligent, interactive and comprehensive performance evaluation of large-scale steel structures.

[0064] Advantages of additional aspects of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0066] Figure 1 This is a diagram of a comprehensive performance evaluation framework for large steel structures driven by both knowledge and data, as provided by an embodiment of the present invention;

[0067] Figure 2 This is a flow chart of a comprehensive performance evaluation method for large steel structures driven by both knowledge and data, provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0068] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0069] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0070] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0071] Aiming at the problem that the status of large steel structures mentioned in the background technology is difficult to accurately evaluate. The present invention integrates the digital twin "full-field virtual perception" technology of key point monitoring and global finite element analysis, proposes a structural robustness evaluation method based on sensitivity analysis and practical correction, and provides a "point-to-field" overall mechanical performance information basis for comprehensive performance evaluation; establishes a diversified hierarchical standardized indicator system for long-term service performance evaluation of large steel structures, forms a scientific construction process of the evaluation indicator system including discussions of units participating in the entire life cycle of steel structures, consultation with field experts and analysis of national industry standards, and studies multi-level screening and structural optimization methods of the indicator system; on this basis, revise the large-scale steel structure operation and maintenance standards including new monitoring methods, intelligent detection technology, data fusion analysis and result evaluation, propose a comprehensive performance evaluation method for large steel structures based on multi-attribute decision-making, and build a steel structure status diagnosis, evaluation and early warning smart engine to achieve intelligent, interactive and comprehensive performance evaluation of large steel structures.

[0072] Example 1

[0073] like Figure 1 and Figure 2 As shown, this embodiment provides a comprehensive performance evaluation method for large steel structures driven by both knowledge and data, including the following steps:

[0074] Step 1: Simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data;

[0075] Large steel structures are subject to various load combinations and complex environmental influences, making them very prone to structural damage such as corrosion, node damage, and component failure, which affects the service performance of the structure.

[0076] In this embodiment, a method combining experiments and numerical analysis is used to simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data, which specifically includes the following steps:

[0077] Step 101: Conducting acetic acid salt spray accelerated corrosion tests on steel structures under different load combinations using a controlled variable method to summarize the development laws of corrosion morphology of the steel structures;

[0078] Step 102: Conduct multiple tests on the corroded steel, including mass loss testing (to measure mass loss due to corrosion), scanning electron microscopy (to observe microscopic corrosion morphology), ultra-depth-of-field 3D microscopy (to obtain the 3D morphology of the corroded surface), and 3D laser scanning characterization testing (to precisely measure the shape and size of the corroded surface). Based on the results of these multiple tests, a model of how steel corrosion changes over time is derived.

[0079] Step 103: Analyze the corrosion mechanism, simplify the model of steel corrosion over time, and analyze the depth of structural steel corrosion pits at different corrosion times based on the simplified model of steel corrosion over time;

[0080] Step 104: Based on the corrosion morphology development law obtained in step 103, analyze the time-varying law of corrosion characteristic parameters of different structural steels and establish a corrosion spatial distribution model;

[0081] Step 105: Conduct uniaxial tensile tests on corroded structures (such as truss structures and grid structures) that have been treated with different corrosion times, establish a stress-strain relationship model for structural steel after corrosion, analyze the relationship between corrosion time and the development of the true stress-strain curve of the structural steel, summarize the development law of material properties, and select multiple characteristic parameters such as elastic modulus, yield strength, ultimate strength, yield strain, ultimate strain, elongation after fracture, and fracture strain.

[0082] Based on the results of uniaxial tensile tests, the time-varying laws of the residual mechanical properties of different structural steels after corrosion were established, the relationship between their corrosion behavior and mechanical property degradation was quantitatively analyzed, and a method for evaluating the residual mechanical properties of different structural steels after corrosion was established to obtain mechanical property analysis data.

[0083] Large steel structures have large plane dimensions and a large number of components. The performance status of structural components is an important part of the structural evaluation system. However, due to the characteristics of large steel structures, monitoring and evaluation of all components is neither realistic nor necessary.

[0084] Step 2: Considering the combined effects of loads and based on the importance analysis of structural components, static performance and stability performance evaluation indicators based on component monitoring data are constructed.

[0085] Step 201: constructing a preliminary importance index of steel structure components;

[0086] Combining monitoring data, design experience, and finite element simulation results, a preliminary selection of important components was conducted by weakening the component cross-section and considering the structural displacement. The preliminary selection importance index was defined by analyzing the maximum displacement ratio of the structure, and the impact of component damage on the overall structural response under load was studied.

[0087] The specific steps include:

[0088] Step 2011: Calculate the maximum displacement of the steel structure under a given load combination in the original state without weakening any components. , weakening the cross-section of each key component one by one, simulating its performance degradation or damage, and calculating the maximum displacement of the structure under the same load combination ;

[0089] Step 2012: For each weakened component, calculate the change ratio of the maximum displacement as follows:

[0090] ,

[0091] in, It weakens The maximum displacement after the component is the maximum displacement in the original state.

[0092] Step 2013: Define the importance index based on the maximum displacement change ratio , primary importance index Defined as the structure weakening the The maximum displacement ratio after weakening a component, which reflects the impact of weakening the component on the overall response of the structure:

[0093] ,

[0094] in, Indicates the The initial importance index of each component, It is the ratio of the maximum displacement after weakening the component to the maximum displacement in the original state.

[0095] Step 2014: If the structure is subjected to multiple load combinations, repeat steps 2011 to 2013 for each load combination and calculate the maximum displacement ratio under each load combination. ,in Represents the load combination number; take the average value of the maximum displacement ratio under all load combinations to obtain the comprehensive preliminary importance index of the component:

[0096] ,

[0097] in, is the number of load combinations.

[0098] Step 202: Determine important components based on the pre-selected importance indexes, and construct static performance indexes and stability performance indexes for the important components;

[0099] According to the design specifications, the permanent loads and variable loads of the structure are selected to form a multi-condition analysis model that takes into account the load combination coefficient. The stress value and sensitivity of the preliminarily selected components under the most unfavorable working conditions are studied and analyzed to determine the important components.

[0100] According to the different stress states of different components, strength and stability analysis is carried out in combination with monitoring data to form static performance indicators and stability performance indicators;

[0101] For the static performance index, for axially loaded and bending components, we draw on the evaluation method for component bearing capacity in the building reliability appraisal standard, establish a rod load performance analysis method and calculation logic under multiple load combinations, and form static performance strength indicators for axial and bending components to guide component performance evaluation;

[0102] Among them, the static performance strength index of the axial component is:

[0103] ,

[0104] in, It is the static performance strength index of the axial component. It is The load factor for each load combination, It is The axial force under each load combination, is the cross-sectional area of ​​the component, is the number of load combinations;

[0105] The static performance strength index of flexural members is:

[0106] ,

[0107] in, It is the static performance strength index of bending members. It is The load factor for each load combination, It is The bending moment under each load combination, is the section modulus, is the number of load combinations;

[0108] The implementation method for stability performance indicators is similar. A comprehensive consideration of axial stress and bending is used. Monitoring data along the principal axis is determined based on the cross-sectional stress distribution pattern. A stress-stability relationship is established, and stability performance strength indicators for axial and bending components are calculated to guide component performance evaluation. Evaluation criteria for key and general components are determined based on calculation methods derived from structural reliability analysis.

[0109] Among them, the stability performance index of axial components:

[0110] ,

[0111] in, It is the stability performance index of the axial component. is the critical load of the axial member, is the load applied to the axial member;

[0112] Stability performance indicators of bending members: ,

[0113] in, It is the stability performance index of bending members. is the critical bending moment of the flexural member, is the bending moment applied to the flexural member.

[0114] Step 3: Establish the dynamic performance index of steel structure;

[0115] In this embodiment, based on the node articulation, mass concentration, and rigid body assumptions, the free vibration equation is solved according to the pseudo-static method to obtain the structural dynamic characteristics, focusing on the structural natural frequency to establish the structural dynamic performance index.

[0116] The specific steps include:

[0117] Step 301: Based on the node hinge, mass concentration, and rigid body assumptions, the structure can be simplified into a multi-degree-of-freedom system, and the free vibration equation can be expressed as:

[0118] ,

[0119] in, is the mass matrix, is the damping matrix, is the stiffness matrix, is the displacement vector, and are the second and first time derivatives of the displacement vector, respectively;

[0120] Step 302: Solve the free vibration equation according to the quasi-static method to obtain the structural dynamic characteristics, focusing on the structural natural frequency to establish the structural dynamic performance index;

[0121] For an undamped or lightly damped system, the equation simplifies to:

[0122] ,

[0123] Its solution can be expressed as: ,in, It is The vibration shape vector of the mode, It is The natural frequency of the mode, is the phase angle, is the number of degrees of freedom.

[0124] The structural dynamic performance index mainly focuses on the natural frequency of the structure, which can be determined by solving the eigenvalue problem of the above equation. The eigenvalue problem can be expressed as:

[0125] ,

[0126] Solving this equation gives the natural frequency of the system .

[0127] natural frequency and natural frequency The relationship is:

[0128] ,

[0129] The structural dynamic performance index can be defined as the basic natural frequency of the structure , which reflects the response characteristics of the structure to dynamic loads.

[0130] Therefore, the specific formula of the structural dynamic performance index is:

[0131] ,

[0132] in It is the minimum natural frequency obtained by solving the eigenvalue problem, the dynamic performance index of the structure, that is, the basic natural frequency .

[0133] Step 4: Construct a performance index system for large steel structures;

[0134] The specific steps include:

[0135] Step 401: Screening static performance, stability performance evaluation indexes, and structural dynamic performance indexes;

[0136] The index system preliminarily constructed based on steps 2 and 3 already has the principle of comprehensiveness, but the correlation between indicators is high, the independence is not strong, and there will be duplication and conflict. Therefore, a multi-level screening and structural optimization method of the index system is studied, and the indicators are screened according to the importance of the indicators, the degree of correlation between the indicators, and the degree of distinction to obtain the final indicators.

[0137] The calculation formula for the importance of indicators is:

[0138] ,

[0139] in: It is The importance score of each indicator, It is Experts on The weight of the indicator, It is Experts on The score of the indicator, is the number of experts.

[0140] The calculation formula for the correlation between indicators is:

[0141] ,

[0142] in, It is and The correlation between the indicators, It is The indicator in The value of the observation, It is The average value of the indicators, is the number of observations.

[0143] Use ANOVA to measure the degree of discrimination of the indicators:

[0144] ,

[0145] in: It is The degree of differentiation of the indicators, It is The sum of squares between groups of indicators, is the total sum of squares.

[0146] Taking into account the importance, relevance and differentiation of the indicators, a comprehensive scoring formula can be constructed:

[0147] ,

[0148] in: It is The comprehensive score of the indicators, It is The importance score of each indicator, It is The average correlation of the indicators, It is The degree of differentiation of the indicators.

[0149] Step 402: Based on the selected indicators, a large-scale steel structure performance index system is constructed according to the four main dimensions of safety, applicability, durability and economy;

[0150] In this embodiment, the performance index system of large steel structures is expressed as ,

[0151] in, is a safety indicator, is the applicability indicator, is the durability index, is an economic indicator;

[0152] Safety indicators Expressed as:

[0153] ,

[0154] Bearing capacity and stability are the basis of structural safety. Bearing capacity, as the basic ability to evaluate a structure's resistance to external forces, is directly related to the overall safety of the structure, while stability evaluates the structure's ability to balance and deform under various load combinations. In order to meet the challenges of dynamic loads such as earthquakes, energy dissipation capacity indicators are proposed to evaluate the structure's ability to absorb and dissipate energy through plastic deformation and other means. This is crucial for reducing the impact of disasters such as earthquakes on structures. Vulnerability indicators focus on the sensitivity of structures to damage that may occur in various extreme events and evaluate the ease with which structures can be damaged. Self-righting is an innovative evaluation indicator that aims to measure the ability of steel structures to automatically return to their initial state after the dynamic load disappears. This not only affects the recovery of the structure's functional use, but also determines the complexity and cost of subsequent maintenance. Redundancy, seismic resistance, and fire resistance are supplementary evaluations of structural performance under specific disaster conditions to ensure the safety of the structure under extreme conditions.

[0155] Applicability indicators Expressed as:

[0156] ,

[0157] Amplitude and deflection mainly measure the deformation of the structure during its service, while lateral displacement and inter-story displacement angle control the overall deformation of large steel structures under horizontal loads to prevent excessive deformation or collapse risks of the structure. Crack width is an important indicator in steel structures, and controlling crack development is crucial to maintaining structural durability. Air circulation, thermal comfort and noise control mainly consider closed large-scale steel structure facilities. These indicators involve the internal environmental quality of the building, and have a direct impact on improving the living or use comfort of the building. Air circulation ensures good ventilation and air quality, and thermal comfort involves the regulation of thermal comfort in winter and summer. Noise control further improves the use comfort of steel structure facilities.

[0158] Durability index Expressed as:

[0159] ,

[0160] The durability dimension index comprehensively evaluates and analyzes the performance of the structure during long-term service. Stress relaxation reflects the stress attenuation of steel under long-term loads. Fatigue strength and vibration fatigue are the fatigue resistance of the structure under repeated loads. Corrosion fatigue and weather resistance focus on the durability of steel structures under different environmental conditions. Corrosion fatigue assesses the risk of fatigue damage to steel in a corrosive environment, while weather resistance involves the aging and performance degradation of materials under various climatic conditions. The stiffness degradation rate measures the trend of structural stiffness changes over time, which is of great significance for evaluating the service life and safety of steel structures. Environmental adaptability is a comprehensive evaluation of the adaptability of the structure in extreme environments (such as extreme cold, high salt, high humidity, etc.) to ensure the stability and durability of the structure under different natural conditions.

[0161] Economic indicators Expressed as:

[0162] ,

[0163] Economic indicators primarily focus on maintainability and service life. Maintainability addresses the cost and ease of maintenance throughout the structure's lifecycle, while service life predicts the overall lifespan of the steel structure. Economic indicators are set not only considering costs but also ongoing operation and maintenance costs. By establishing a comprehensive steel structure performance evaluation system, we provide a scientific basis and indicators to support comprehensive structural performance assessments.

[0164] Step 5: Combine the mechanical performance analysis data, the acquired multi-source data, and the constructed comprehensive performance evaluation index system to obtain the steel structure damage level assessment results and the steel structure service life prediction results;

[0165] The performance degradation of steel structures and their corresponding safety status in different service stages, different operating environments, and different geological and weather conditions are often different, making it difficult to accurately assess the status of large steel structures.

[0166] In this embodiment, knowledge and data are integrated to achieve dual drive, and ultimately a comprehensive knowledge evaluation engine is built to achieve intelligent, interactive, and comprehensive performance evaluation of large steel structures. The specific steps include:

[0167] Step 501: Combining the perception data, twin data, and mechanical performance analysis data with the constructed steel structure state diagnosis model based on machine learning to obtain structural state knowledge;

[0168] In this embodiment, the collected perception data, twin data, and mechanical property analysis data are cleaned to remove outliers and noise, and the data are normalized to ensure that different parameters are compared at the same level. A stacked autoencoder is used to perform feature encoding on the steel structure operating environment, mechanical property analysis results, and stress, strain, displacement, and other data monitored by sensors. The data is input into a state diagnosis model based on machine learning models such as deep neural networks and gradient boosting trees, and knowledge is extracted from the model output. The multi-feature parameter analysis results are converted into the knowledge required to describe the structural state, thereby realizing the conversion from original detection data to steel structure state knowledge.

[0169] Step 502: Acquire knowledge from multiple sources (including expert knowledge base, national and industry standards, historical reference knowledge, on-site manual preliminary judgment results, common sense knowledge, etc.);

[0170] Step 503: Input the acquired structural state knowledge, knowledge from multiple sources, and the large-scale steel structure performance index system constructed in step 4 into the large language model, perform unified knowledge encoding, and obtain the steel structure performance evaluation results;

[0171] In this embodiment, the large language model used can be implemented using existing models. It is used to understand and process the knowledge in natural language text and convert this knowledge into a structured form. The model can capture the complexity and diversity of language, thereby understanding and representing different types of knowledge to a certain extent. In this way, the knowledge in the text can be converted into a format that can be used by machine learning and data analysis algorithms.

[0172] In this embodiment, the steel structure performance assessment results include qualitative and quantitative evaluations of safety status level, damage level, complete warning information, impact range, development trend, etc., providing a scientific reference for the formulation of maintenance and repair plans and safety warnings for large steel structures.

[0173] Example 2

[0174] This embodiment provides a comprehensive performance evaluation system for large steel structures driven by both knowledge and data, including:

[0175] Mechanical analysis module, which is used to simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data;

[0176] The index system construction module is used to consider the combined effects of loads, analyze the importance of structural components, identify important components, and construct static and stability performance evaluation indicators for important components; establish structural dynamic performance indicators based on structural dynamic characteristics; screen static performance, stability performance evaluation indicators, and structural dynamic performance indicators, and construct a large-scale steel structure performance index system according to the set multiple dimensions;

[0177] The performance evaluation module is used to combine the acquired multi-source data, mechanical performance analysis data and large-scale steel structure performance index system to obtain steel structure performance evaluation results.

[0178] Example 3

[0179] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps of the comprehensive performance evaluation method for large-scale steel structures driven by both knowledge and data are implemented as described above.

[0180] Example 4

[0181] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the comprehensive performance evaluation method for large-scale steel structures driven by both knowledge and data as described above are implemented.

[0182] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A comprehensive performance evaluation method driven by knowledge and data for large steel structures, characterized by: The steps include: Simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data; Considering the combined effects of loads, analyze the importance of structural components, identify important components, and construct static and stability performance evaluation indicators for important components; Establish structural dynamic performance indicators based on structural dynamic characteristics; The static performance, stability performance evaluation indexes and structural dynamic performance indexes are screened, and a large steel structure performance index system is constructed according to the set multiple dimensions; The steel structure performance evaluation results are obtained by combining the acquired multi-source data, mechanical performance analysis data and large-scale steel structure performance index system; The consideration of combined loads, analysis of the importance of structural components, and determination of important components include: Calculate the maximum displacement ratio under each load combination respectively, take the average value of the maximum displacement ratio under all load combinations, and obtain the comprehensive preliminary importance index of the component; The calculation process of the maximum displacement ratio under each load is: Calculate the maximum displacement of a steel structure under a given load combination in its original state without weakening any components , weaken the cross-section of each key component one by one, simulate its performance degradation or damage, and calculate the maximum displacement of the structure under the same load combination ; For each weakened component, combine and The ratio of the maximum displacement is calculated by the ratio of Among them, when screening static performance, stability performance evaluation indicators, and structural dynamic performance indicators, the indicators are screened according to the importance of each indicator, the degree of correlation between indicators, and the degree of distinction; The steel structure performance evaluation results obtained by combining the acquired multi-source data, mechanical performance analysis data and large-scale steel structure performance index system include: Combining the perception data, twin data, mechanical performance analysis data and the constructed steel structure status diagnosis model, the structural status knowledge is obtained; Acquire knowledge from multiple sources, including expert knowledge base, national and industry standards, historical reference knowledge, on-site manual preliminary judgment results, and common sense knowledge; The structural state knowledge, knowledge from multiple sources and the performance index system of large steel structures are input into the large language model, and unified knowledge encoding is performed to obtain the steel structure performance evaluation results.

2. The comprehensive performance evaluation method for large steel structures driven by knowledge and data as claimed in claim 1 is characterized in that: The construction process of static performance and stability performance evaluation index of important components includes: In the static performance index part, for axial load-bearing members and bending members, the evaluation method for member bearing capacity in the building reliability appraisal standard is used to analyze the force performance of rods under multiple load combinations, and the static performance strength index of axial members and bending members is obtained; In the part of stability performance index, axial force and bending are comprehensively considered, and the monitoring data along the main axis direction is determined according to the cross-sectional stress distribution law. The stress-stability relationship is established, and the stability performance strength index of axial components and bending components is calculated.

3. The comprehensive performance evaluation method for large steel structures driven by knowledge and data as claimed in claim 2 is characterized in that: The static performance strength index of the axial component is: ， The static performance strength index of the bending member is: ， in, It is the static strength index of the axial component. It is The load factor for each load combination, It is The axial force under each load combination is is the cross-sectional area of ​​the component, is the number of load combinations, It is the static strength index of the bending member. It is The bending moment under each load combination, is the section modulus; Stability performance indicators of axial components: ， Stability performance indicators of bending members: ， in, It is the stability performance index of the axial component. is the critical load of the axial member, is the load applied on the axial member; It is the stability performance index of the bending member. is the critical bending moment of the bending member, is the bending moment applied to the bending member.

4. The large-scale steel structure knowledge and data dual-driven comprehensive performance evaluation method according to claim 1 is characterized in that: The establishing of structural dynamic performance indicators based on structural dynamic characteristics includes: Based on the assumptions of node articulation, mass concentration and rigid body, the steel structure is simplified into a multi-degree-of-freedom system and the free vibration equation is obtained. The free vibration equation is solved according to the quasi-static method to obtain the structural dynamic characteristics. The structural natural vibration frequency in the structural dynamic characteristics is selected to establish the structural dynamic performance index.

5. The comprehensive performance evaluation method for large steel structures driven by knowledge and data as claimed in claim 4 is characterized in that: The structural dynamic performance indicators are: ， in, is the minimum natural frequency obtained by solving the eigenvalue problem, is the basic natural frequency.

6. The large-scale steel structure knowledge and data dual-driven comprehensive performance evaluation method according to claim 1 is characterized in that: The performance index system of large steel structures is expressed as: ， in, is a safety indicator, is the applicability indicator, is the durability index, It is an economic indicator; Safety indicators It is expressed as: ， Suitability indicators It is expressed as: ， Durability index It is expressed as: ， Economic indicators It is expressed as: 。 7. A comprehensive performance evaluation system driven by knowledge and data for large steel structures, characterized by: The comprehensive performance evaluation method for large steel structures driven by knowledge and data as described in any one of claims 1 to 6 comprises: Mechanical analysis module, which is used to simulate various working conditions under the coupling of load and environment to obtain mechanical performance analysis data; The index system construction module is used to consider the combined effects of loads, analyze the importance of structural components, determine important components, and construct static performance and stability performance evaluation indicators of important components; establish structural dynamic performance indicators based on structural dynamic characteristics; screen static performance, stability performance evaluation indicators, and structural dynamic performance indicators, and construct a large-scale steel structure performance index system according to the set multiple dimensions; The performance evaluation module is used to combine the acquired multi-source data, mechanical performance analysis data and large-scale steel structure performance index system to obtain steel structure performance evaluation results.

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