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CN-121997120-A - Double-shaft coupling anti-seismic performance evaluation method and system for flanged shear wall

CN121997120ACN 121997120 ACN121997120 ACN 121997120ACN-121997120-A

Abstract

The invention relates to the technical field of shear wall performance evaluation, and discloses a biaxial coupling anti-seismic performance evaluation method and system for a flanged shear wall, wherein the system comprises the steps of collecting geometrical, material and biaxial coupling load data of the flanged shear wall in real time by a collecting and preprocessing module, and establishing a parameter-performance association database by combining the processed data; the model construction module is used for modeling based on the database and introducing a pre-diagnosis algorithm to identify potential damage risk points, the analysis module is used for inputting real-time data to calculate anti-seismic performance indexes, judging health grades, analyzing degradation rates and predicting failure probability to generate a pre-diagnosis report, the management and evaluation module is used for generating a management strategy according to the pre-diagnosis report, outputting an evaluation report and feeding back a data iteration optimization model to realize dynamic evaluation of the anti-seismic performance of the shear wall. The invention provides scientific basis for the safety management of the shear wall, and effectively ensures the earthquake-resistant safety and operational and maintenance rationality of the structure.

Inventors

  • WU MENGZHEN
  • WANG BIN
  • LI GUANGDA
  • SHI QINGXUAN

Assignees

  • 山东职业学院
  • 西安建筑科技大学
  • 齐鲁工业大学(山东省科学院)

Dates

Publication Date
20260508
Application Date
20251229

Claims (10)

  1. 1. A biaxial-coupling seismic performance evaluation system for a flanged shear wall, comprising: The acquisition and preprocessing module is configured to acquire geometrical data, material data and biaxial coupling load data of the shear wall with the flange in real time, execute outlier rejection and standardization processing on the acquired data, acquire historical seismic test data, damage records and maintenance files of the shear wall, and establish a parameter-performance association database; The model construction module is configured to construct a digital finite element basic model considering a biaxial load coupling effect based on a parameter-performance association database, and introduces a pre-diagnosis algorithm to form a biaxial coupling anti-seismic model; the analysis module is configured to input the preprocessed real-time data into the biaxial coupling earthquake-resistant model, calculate earthquake-resistant performance indexes, preset a health state threshold interval, compare the real-time performance indexes with the threshold value to judge the current health grade; The management and evaluation module is configured to generate a health management strategy according to the pre-diagnosis report and the performance degradation trend, comprehensively evaluate the dual-axis coupling earthquake resistance performance, output an evaluation report, feed evaluation data back to the parameter-performance association database, and perform iterative optimization of a model and a pre-diagnosis algorithm for dynamic evaluation of the earthquake resistance performance of the subsequent shear wall.
  2. 2. The dual-axis coupled seismic performance assessment system for a flanged shear wall of claim 1, wherein the acquisition and pre-processing module comprises: the geometrical parameter acquisition unit is configured to acquire flange width, flange thickness, web height, web thickness, hole size and reinforcement arrangement parameters of the flange shear wall through the three-dimensional laser scanning equipment and the BIM model extraction tool to generate a structured geometrical parameter data set; The material parameter acquisition unit is configured to acquire the compressive strength, the axial tensile strength, the steel bar yield strength and the steel bar elastic modulus of the concrete cube through material mechanical test equipment, synchronously input material production batch and service life information, and form a material performance parameter library; The double-shaft coupling load acquisition unit is configured to acquire reciprocating loading double-shaft load data in real time through a load sensor and a data acquisition instrument, wherein the reciprocating loading double-shaft load data comprises a horizontal X-direction load amplitude, a horizontal Y-direction load amplitude, a vertical load amplitude and a double-shaft loading path history, and the load application rate and the load holding time are recorded; the data preprocessing unit is configured to execute noise reduction processing on the acquired data by adopting a wavelet filtering algorithm, reject abnormal values in geometric parameters and material parameters by adopting an isolated forest algorithm, map load data and performance data to a [0,1] interval by adopting a min-max standardization method, generate a standardized data set and store the standardized data set in a parameter-performance association database.
  3. 3. The dual-axis coupled seismic performance evaluation system for a flanged shear wall of claim 1, wherein the model building module comprises: The finite element basic model construction unit is configured to simulate shear wall concrete and a reinforcing steel bar dispersion layer by adopting a shell unit based on a standardized data set in a parameter-performance correlation database, define a concrete constitutive model and a reinforcing steel bar constitutive model, and set biaxial load coupling boundary conditions; The pre-diagnosis algorithm unit is configured to be based on a damage characteristic extraction algorithm of the convolutional neural network, wherein the damage characteristic extraction algorithm is used for extracting stress concentration characteristics and displacement mutation characteristics in a model simulation process in real time through damage images and stress-strain data training in a historical earthquake resistance test; The damage risk point identification unit is configured to identify potential damage risk points of the junction of the wall body flange and the web plate, the upper edge and the lower edge of the opening and the bottom of the wall limb according to the characteristic data output by the finite element model and the pre-diagnosis algorithm and in combination with a preset risk judgment threshold value, and mark risk grades, wherein the risk grades comprise low risk, medium risk and high risk.
  4. 4. The dual-axis coupled seismic performance evaluation system for a flanged shear wall of claim 1, wherein the analysis module comprises: the performance index calculating unit is configured to input the preprocessed data into the biaxial coupling earthquake-resistant model, and calculate earthquake-resistant performance indexes including displacement ductility coefficients, bearing capacity attenuation rates, rigidity degradation coefficients and damage coefficients; the health grade judging unit is configured to preset a health state threshold value interval, compare the real-time calculated anti-seismic performance index with the preset threshold value interval and judge the current health grade of the flanged shear wall according to the comparison result; The degradation trend analysis and fault prediction unit is configured to adopt a long-short-term memory network algorithm, fit a performance degradation curve by combining historical performance data in the parameter-performance correlation database, analyze the performance degradation rate, predict the occurrence probability of potential faults under different load cycle times according to the degradation curve, and generate a pre-diagnosis report containing fault types, prediction occurrence time and risk grades.
  5. 5. The dual-axis coupling seismic performance evaluation system for a flanged shear wall according to claim 4, wherein the health grade determination unit, when determining the health grade by comparing the real-time performance index with a preset threshold value, comprises: the health grade judging unit presets four-grade health state threshold intervals which are a health priority threshold interval, a health well grade threshold interval, a health middle grade threshold interval and a health difference grade threshold interval respectively; the health grade judging unit is used for respectively comparing the displacement ductility coefficient, the bearing capacity attenuation rate, the rigidity degradation coefficient and the damage coefficient which are calculated in real time with a four-level threshold interval: when all the performance indexes are in the health priority threshold value interval, judging that the current health level of the flanged shear wall is the priority; when at least 3 performance indexes are in the healthy grade threshold value interval and no index is lower than the healthy intermediate grade threshold value interval, judging that the current healthy grade is a good grade; When at least 2 performance indexes are in the health intermediate level threshold interval and no index is lower than the health difference level threshold interval, judging that the current health level is intermediate level; When any performance index is in the health grade threshold interval or the damage evolution index is larger than the boundary value between the health middle grade threshold interval and the health grade threshold interval, judging that the current health grade is the grade; After the judgment is completed, the health grade judging unit records the judging time, the original value of the performance index and the threshold value interval which participate in comparison, and stores the judging time, the original value of the performance index and the threshold value interval in a parameter-performance associated database.
  6. 6. The dual-axis coupled seismic performance assessment system for a flanged shear wall of claim 4, wherein the degradation trend analysis and failure prediction unit, when generating a pre-diagnosis report, comprises: The degradation trend analysis and fault prediction unit presets three-level fault occurrence probability intervals which are respectively a low risk probability interval, a medium risk probability interval and a high risk probability interval; The unit calculates the probability of failure occurrence under different load cycle times according to the fitted performance degradation curve: When the fault occurrence probability belongs to a low risk probability interval, marking the fault risk level as low risk, and suggesting to maintain the conventional monitoring frequency in the pre-diagnosis report; When the fault occurrence probability belongs to a middle risk probability interval, marking the fault risk level as middle risk, suggesting to increase the monitoring frequency to 2 times of the original frequency in the pre-diagnosis report, and increasing the detection of the flange-web connection part; When the fault occurrence probability belongs to a high risk probability interval, marking the fault risk level as high risk, suggesting an immediate stop check in a pre-diagnosis report, and evaluating whether reinforcement treatment is needed; The pre-diagnosis report also comprises shear wall basic information, a real-time performance index curve and a degradation trend fitting chart, is output in a text and visual chart form, and is synchronously uploaded to a remote monitoring platform.
  7. 7. The dual-axis coupled seismic performance assessment system for a flanged shear wall of claim 1, wherein the management and assessment module, when generating a health management policy, comprises: presetting basic management strategies corresponding to the four-level health level, wherein the basic management strategies are a priority management strategy, a good management strategy, a middle management strategy and a bad management strategy respectively; The quality management strategy is to maintain the conventional monthly monitoring, the quality management strategy is to increase the special monitoring of the half-month flange-web plate connecting part, the middle management strategy is Zhou Du full-dimension monitoring and crack width detection, and the quality management strategy is prepared for daily monitoring and structural reinforcement evaluation; the management and evaluation module extracts the current health grade and performance degradation rate in the pre-diagnosis report, and presets a degradation rate threshold; comparing the performance degradation rate with a degradation rate threshold value, and adjusting a basic management strategy according to the comparison result: when the performance degradation rate is less than or equal to the minimum value of the degradation rate threshold, maintaining a basic management strategy corresponding to the health level; When the performance degradation rate is greater than the minimum value of the degradation rate threshold value and less than or equal to the maximum value of the degradation rate threshold value, the monitoring frequency of the basic management strategy is increased to 1.5 times of the original frequency; when the performance degradation rate is greater than the maximum value of the degradation rate threshold, upgrading the basic management strategy to a higher-level management strategy; after strategy adjustment, recording adjustment basis, generating a health management scheme comprising monitoring items, monitoring frequency and responsible persons, and synchronously storing the health management scheme into a parameter-performance associated database.
  8. 8. The dual-axis coupled seismic performance assessment system for a flanged shear wall of claim 1, wherein the management and assessment module, when feeding back assessment data to the parameter-performance correlation database to iterate the optimization model, comprises: Presetting a model optimization trigger threshold, wherein the model optimization trigger threshold comprises a prediction deviation threshold and a data accumulation amount threshold; The management and evaluation module periodically extracts evaluation data of a preset period from the parameter-performance association database, and calculates the prediction deviation of each piece of data, wherein the calculation formula of the prediction deviation is that the prediction deviation is equal to the absolute value of a model predicted value minus an actual measured value divided by the actual measured value multiplied by one hundred percent; Statistics of the data duty cycle with the predicted deviation greater than the predicted deviation threshold while statistics of the total amount of data accumulation: when the data duty ratio is less than or equal to ten percent and the total data accumulation amount is greater than or equal to the data accumulation amount threshold, judging that the current precision of the model meets the standard, and optimizing is not needed; when the data ratio is more than ten percent or the total data accumulation amount is less than the data accumulation amount threshold value, starting model iterative optimization: The newly accumulated evaluation data is used as a training sample, a pre-diagnosis algorithm and a trend prediction algorithm in the biaxial coupling anti-seismic model are retrained, and the constitutive parameters and the boundary condition weights of the model are adjusted; After training, calculating the prediction deviation of the new model, and when the new prediction deviation is smaller than or equal to the prediction deviation threshold value, storing new model parameters and replacing the old model; when the new prediction deviation is larger than the prediction deviation threshold, retraining is carried out, and after 3 continuous times of training, the new prediction deviation is still larger than the prediction deviation threshold, an alarm module is triggered to send out early warning, and abnormal information of model optimization is recorded.
  9. 9. A dual-axis coupled seismic performance assessment system for a flanged shear wall according to claim 3, wherein the damage risk point identification unit, when dynamically rechecking a potential damage risk point, comprises: presetting a damage risk point rechecking interval, wherein rechecking indexes comprise stress change rate and displacement increment at risk points, and presetting a rechecking stress change rate threshold and a rechecking displacement increment threshold; Extracting real-time stress data and displacement data of risk points through a biaxial coupling anti-seismic model according to the rechecking interval of the damage risk points, and calculating the stress change rate and displacement increment; comparing the stress change rate with a rechecking stress change rate threshold value, and comparing the displacement increment with a rechecking displacement increment threshold value, and adjusting the risk level according to the comparison result: When the stress change rate is smaller than the minimum value of the rechecking stress change rate threshold value and the displacement increment is smaller than the minimum value of the rechecking displacement increment threshold value, the original risk level is maintained; when the stress change rate is within the range of the rechecking stress change rate threshold value or the displacement increment is within the range of the rechecking displacement increment threshold value, the original risk level is increased by one step; When the stress change rate is larger than the maximum value of the rechecking stress change rate threshold value and the displacement increment is larger than the maximum value of the rechecking displacement increment threshold value, the original risk level is adjusted to be a special risk, and the special risk is in a high-risk upgrading state; And if the risk level after rechecking is a special risk, immediately triggering an alarm module to send out emergency level alarm, pushing the positions of risk points and rechecking data to a structural safety management platform, and storing all rechecking results into a parameter-performance associated database for subsequent model optimization.
  10. 10. A method for evaluating dual-axis coupling seismic performance for a flanged shear wall, applied to the dual-axis coupling seismic performance evaluation system for a flanged shear wall according to any one of claims 1 to 9, comprising: collecting geometrical data, material data and biaxial coupling load data of the shear wall with the flange in real time, performing outlier rejection and standardization processing on the collected data, acquiring historical seismic test data, damage records and maintenance files of the shear wall, and establishing a parameter-performance association database; based on a parameter-performance association database, constructing a digital finite element basic model considering a biaxial load coupling effect, simultaneously introducing a pre-diagnosis algorithm to form a biaxial coupling anti-seismic model, simulating stress strain distribution, component displacement and corresponding load of a shear wall under the action of biaxial load through the biaxial coupling anti-seismic model, and identifying potential damage risk points of the connection part of a wall flange and a web plate, the periphery of a hole and the bottom of the wall; The pre-processed real-time data is input into the dual-axis coupling earthquake-proof model, earthquake-proof performance indexes are calculated, a health state threshold interval is preset, and the real-time performance indexes are compared with the threshold value to judge the current health grade; and comprehensively evaluating the dual-axis coupling anti-seismic performance, outputting an evaluation report, feeding evaluation data back to a parameter-performance correlation database, performing iterative optimization of a model and a pre-diagnosis algorithm, and dynamically evaluating the anti-seismic performance of the subsequent shear wall.

Description

Double-shaft coupling anti-seismic performance evaluation method and system for flanged shear wall Technical Field The invention relates to the technical field of shear wall performance evaluation, in particular to a biaxial coupling anti-seismic performance evaluation method and system for a flanged shear wall. Background The flanged shear wall is used as a core lateral force resisting member in a high-rise building and large-span structure, the anti-seismic performance of the flanged shear wall directly determines the safety and stability of the integral structure, and the performance evaluation under the action of biaxial coupling load is critical to engineering design and operation and maintenance. The traditional method for evaluating the seismic performance of the flanged shear wall is mostly based on single-axis load working condition modeling, the deviation between an evaluation result and an actual stress state is larger due to neglect of a double-axis load coupling effect, damage identification relies on manual detection or simple finite element simulation, the potential risks of key areas such as flange-web connection parts and the periphery of a hole are difficult to accurately position, a real-time data acquisition and dynamic feedback mechanism is lacking, an evaluation model cannot be adjusted by combining a performance degradation rule in the service process of the structure, and the timeliness and the accuracy of health grade judgment and fault prediction are insufficient, so that the safety management requirement of the whole life cycle of the structure is difficult to meet. Therefore, it is necessary to design a dual-axis coupling anti-seismic performance evaluation method and system for the flanged shear wall, so as to solve the problems of insufficient consideration of dual-axis coupling effect, low damage recognition accuracy, lack of real-time feedback and dynamic optimization, and lack of performance prediction and health management systematicness in the traditional evaluation method. Disclosure of Invention In view of the above, the invention provides a biaxial coupling earthquake resistance evaluation method and system for a flanged shear wall, which aim to solve the problems of insufficient consideration of biaxial coupling effect, low damage recognition accuracy, lack of real-time feedback and dynamic optimization, and systematic deficiency of performance prediction and health management in the traditional evaluation method. In one aspect, the invention provides a dual-axis coupling seismic performance evaluation system for a flanged shear wall, comprising: The acquisition and preprocessing module is configured to acquire geometrical data, material data and biaxial coupling load data of the shear wall with the flange in real time, execute outlier rejection and standardization processing on the acquired data, acquire historical seismic test data, damage records and maintenance files of the shear wall, and establish a parameter-performance association database; The model construction module is configured to construct a digital finite element basic model considering a biaxial load coupling effect based on a parameter-performance association database, and introduces a pre-diagnosis algorithm to form a biaxial coupling anti-seismic model; the analysis module is configured to input the preprocessed real-time data into the biaxial coupling earthquake-resistant model, calculate earthquake-resistant performance indexes, preset a health state threshold interval, compare the real-time performance indexes with the threshold value to judge the current health grade; The management and evaluation module is configured to generate a health management strategy according to the pre-diagnosis report and the performance degradation trend, comprehensively evaluate the dual-axis coupling earthquake resistance performance, output an evaluation report, feed evaluation data back to the parameter-performance association database, and perform iterative optimization of a model and a pre-diagnosis algorithm for dynamic evaluation of the earthquake resistance performance of the subsequent shear wall. Further, the acquisition and preprocessing module includes: the geometrical parameter acquisition unit is configured to acquire flange width, flange thickness, web height, web thickness, hole size and reinforcement arrangement parameters of the flange shear wall through the three-dimensional laser scanning equipment and the BIM model extraction tool to generate a structured geometrical parameter data set; The material parameter acquisition unit is configured to acquire the compressive strength, the axial tensile strength, the steel bar yield strength and the steel bar elastic modulus of the concrete cube through material mechanical test equipment, synchronously input material production batch and service life information, and form a material performance parameter library; The double-shaft coupling load acquisition