Vibration reduction test method and system for building vibration isolation support

Abstract

The invention provides a vibration reduction test method and system for a building vibration isolation support, and relates to the field of vibration reduction performance test.The method comprises the steps that vibration reduction performance deviation analysis is conducted by combining building structure features, a vibration reduction performance influence coefficient set is output, an initial vibration reduction test data set is adjusted, and an optimized vibration reduction test data set is obtained; and carrying out damping performance attenuation prediction according to a plurality of preset division time zones in combination with regional environment characteristics, outputting a plurality of predicted damping performance attenuation coefficient sets, and correcting the optimized damping test data set to obtain a plurality of predicted damping test data sets to generate a test result. The method aims at solving the technical problems that a traditional vibration reduction test method lacks a test system matched with a building scene and lacks a long-term performance evaluation means at the same time, and consequently the comprehensiveness, practicability and reliability of vibration reduction test evaluation are insufficient. The comprehensiveness, the practicability and the reliability of a vibration reduction performance test result can be effectively improved, and the full-life-cycle performance evaluation requirement of the vibration isolation support can be met.

Description

Technical Field

[0001] The present invention relates to the field of vibration damping performance testing, and in particular to a vibration damping testing method and system for building vibration isolation bearings. Background Art

[0002] Laminated rubber vibration isolation bearings can effectively weaken the transmission of medium and low-frequency vertical vibrations caused by train operation to track structures and their ancillary facilities. To ensure that they have good vibration damping effects under actual operating conditions, it is usually necessary to carry out targeted vibration performance tests before the product leaves the factory or during the engineering selection stage to evaluate their response characteristics and durability under typical load frequencies and amplitudes in rail transit.

[0003] However, existing vibration damping performance testing methods mostly adopt standard loading procedures and idealized testing environments, mainly for measuring the initial mechanical properties of the bearings under laboratory conditions. Such methods often fail to fully consider the actual application characteristics of vibration isolation bearings in specific building scenarios, such as the influence of building height, structural type, frequency response, etc. on the bearing performance, nor systematically incorporate the degradation effects of environmental factors such as temperature, humidity, ultraviolet aging, and vibration interference on their long-term service performance.

[0004] In addition, existing technologies lack a set of evaluation means that can dynamically reflect the evolution trend of the performance of vibration isolation bearings over time, making it difficult to effectively predict the performance of the bearings throughout their life cycle. This deviation between the testing and the actual use scenario is likely to lead to distorted evaluation of vibration damping design and affect the safety and reliability of building structures. Summary of the Invention

[0005] The purpose of the present invention is to provide a vibration damping testing method and system for building vibration isolation bearings to solve the technical problems that the vibration damping testing methods for traditional laminated rubber vibration isolation bearings lack a testing system matching the building scenario and lack long-term performance evaluation means, resulting in insufficient comprehensiveness, practicability, and reliability of vibration damping test evaluation, including: In a first aspect, the present invention provides a vibration damping testing method for building vibration isolation bearings, including: performing vibration damping testing on a laminated rubber vibration isolation bearing using an electro-hydraulic servo vibration table according to a preset test plan to obtain an initial vibration damping test data set; performing vibration damping performance deviation analysis in combination with the building structure characteristics of the building where the laminated rubber vibration isolation bearing is located, outputting a vibration damping performance influence coefficient set, and adjusting the initial vibration damping test data set to obtain an optimized vibration damping test data set; combining the regional environmental characteristics of the location where the laminated rubber vibration isolation bearing is located, performing vibration damping performance decay prediction according to multiple preset divided time zones, outputting multiple predicted vibration damping performance decay coefficient sets, and respectively correcting the optimized vibration damping test data set to obtain multiple predicted vibration damping test data sets; generating a vibration damping test result according to the multiple preset divided time zones and the multiple predicted vibration damping test data sets.

[0006] Preferably, the vibration reduction test method for the building vibration isolation bearing further includes: obtaining a preset test plan, where the preset test plan includes test indicators, test procedures, and parameter configurations, and the test indicators at least include equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement; based on the test indicators, according to the test procedures and parameter configurations, using an electro-hydraulic servo vibration table to perform multiple cyclic loading tests on the laminated rubber vibration isolation bearing, and outputting an initial vibration reduction test data set.

[0007] Preferably, the vibration reduction test method for the building vibration isolation bearing further includes: obtaining the building structure characteristics of the building where the laminated rubber vibration isolation bearing is located, where the building structure characteristics at least include building type, building height, building structure system, and mass distribution; obtaining the structural attribute information of the laminated rubber vibration isolation bearing, and expanding the structural attribute information according to a preset characteristic tolerance interval to obtain a structural attribute interval, where the structural attribute information at least includes structural design, geometric dimensions, material properties, and mechanical properties; using the laminated rubber vibration isolation bearing as a guide, using the structural attribute interval as a retrieval and comparison condition, and using a preset time range as a constraint, using big data technology to perform sample data retrieval, obtaining a sample building structure characteristic set and multiple sample vibration reduction performance influence coefficient sets; using the sample building structure characteristic set as an input, using the multiple sample vibration reduction performance influence coefficient sets as supervision, training a BP neural network until convergence, and obtaining a vibration reduction performance influence analysis model; using the vibration reduction performance influence analysis model, performing vibration reduction performance deviation analysis according to the building structure characteristics, and outputting a vibration reduction performance influence coefficient set, where the vibration reduction performance influence coefficients correspond one-to-one with the test indicators.

[0008] Preferably, the vibration reduction test method for the building vibration isolation bearing further includes: using big data technology to perform sample data retrieval, obtaining multiple sample building structure characteristics that meet the structural attribute interval and the preset time range, constructing a sample building structure characteristic set; obtaining multiple historical vibration reduction data of different sample building structure characteristics under actual loads, based on the test indicators, comparing the mapping deviation between the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load, obtaining multiple index deviation sets, calculating and obtaining an index deviation mean set as a sample vibration reduction performance influence coefficient set, and obtaining multiple sample vibration reduction performance influence coefficient sets, where the index deviation is the ratio of the difference between the historical vibration reduction data and the vibration reduction test data to the vibration reduction test data.

[0009] Preferably, the vibration reduction test method for a building vibration isolation bearing further includes: configuring a plurality of preset divided time zones at preset time intervals; obtaining the regional environmental characteristics of the location where the laminated rubber vibration isolation bearing is located, where the regional environmental characteristics include the annual temperature fluctuation curve, the annual humidity fluctuation curve, and the annual solar radiation intensity curve; training a vibration reduction performance attenuation prediction model based on a BP neural network; using the vibration reduction performance attenuation prediction model, according to the regional environmental characteristics, performing vibration reduction performance attenuation prediction respectively according to the plurality of preset divided time zones, and outputting a plurality of predicted vibration reduction performance attenuation coefficient sets.

[0010] Preferably, the vibration reduction test method for a building vibration isolation bearing further includes: according to the historical operation and maintenance monitoring records of the same type of laminated rubber vibration isolation bearings, collecting a sample usage duration set and a sample environmental characteristics set, and statistically analyzing the performance attenuation ratios of multiple test indicators under different sample usage durations and sample environmental characteristics, which are set as sample performance attenuation coefficients, to obtain a sample performance attenuation coefficient set; using the sample usage duration set and the sample environmental characteristics set as inputs, and using the sample performance attenuation coefficient set as supervision, training a BP neural network until convergence to obtain a vibration reduction performance attenuation prediction model.

[0011] Preferably, the vibration reduction test method for a building vibration isolation bearing further includes: performing a mapping combination on the plurality of preset divided time zones and the plurality of predicted vibration reduction test data sets to generate a vibration reduction test report as the vibration reduction test result.

[0012] In a second aspect, the present invention further provides a vibration reduction test system for a building vibration isolation bearing, which is used to execute the vibration reduction test method for a building vibration isolation bearing as described in the first aspect, and includes: a vibration reduction test module, which is used to perform a vibration reduction test on the laminated rubber vibration isolation bearing using an electro-hydraulic servo vibration table according to a preset test plan, and obtain an initial vibration reduction test data set; a performance deviation analysis module, which is used to perform a vibration reduction performance deviation analysis in combination with the building structure characteristics of the building where the laminated rubber vibration isolation bearing is located, output a vibration reduction performance influence coefficient set, and adjust the initial vibration reduction test data set to obtain an optimized vibration reduction test data set; a performance attenuation prediction module, which is used to perform a vibration reduction performance attenuation prediction in combination with the regional environmental characteristics of the location where the laminated rubber vibration isolation bearing is located, according to a plurality of preset divided time zones, output a plurality of predicted vibration reduction performance attenuation coefficient sets, and respectively correct the optimized vibration reduction test data set to obtain a plurality of predicted vibration reduction test data sets; a test result generation module, which is used to generate a vibration reduction test result according to the plurality of preset divided time zones and the plurality of predicted vibration reduction test data sets.

[0013] The embodiments of the present invention have the following advantages: By conducting vibration reduction tests on laminated rubber isolation bearings using an electro-hydraulic servo vibration table according to a preset test scheme, an initial vibration reduction test data set is obtained; then, by combining the building structure characteristics of the building where the laminated rubber isolation bearings are located, an analysis of the deviation of vibration reduction performance is carried out, and a set of vibration reduction performance influence coefficients is output to adjust the initial vibration reduction test data set to obtain an optimized vibration reduction test data set; further, by combining the regional environmental characteristics of the location where the laminated rubber isolation bearings are located, a prediction of vibration reduction performance attenuation is carried out according to multiple preset divided time zones, and multiple sets of predicted vibration reduction performance attenuation coefficients are output to correct the optimized vibration reduction test data set respectively to obtain multiple predicted vibration reduction test data sets; finally, vibration reduction test results are generated according to the multiple preset divided time zones and the multiple predicted vibration reduction test data sets. That is to say, by introducing a vibration reduction performance influence coefficient compensation mechanism based on building structure characteristics and constructing multi-period vibration reduction performance attenuation prediction coefficients in combination with regional environmental factors for attenuation adjustment, the initial test data of laminated rubber isolation bearings can be dynamically corrected and long-term performance evaluated, thereby effectively improving the comprehensiveness, practicability and reliability of vibration reduction performance test results and meeting the full-life cycle performance evaluation requirements of isolation bearings. Description of the Drawings

[0014] Figure 1 It is a step flowchart of a vibration reduction test method for a building isolation bearing of the present invention; Figure 2 It is a structural schematic diagram of a vibration reduction test system for a building isolation bearing of the present invention.

[0015] Description of the Reference Numerals: Vibration reduction test module 11, performance deviation analysis module 12, performance attenuation prediction module 13, test result generation module 14. Detailed Embodiments

[0016] The present invention provides a vibration reduction test method and system for a building isolation bearing, which solves the technical problems that the traditional vibration reduction test method for laminated rubber isolation bearings lacks a test system matching the building scenario and lacks long-term performance evaluation means, resulting in insufficient comprehensiveness, practicability and reliability of vibration reduction test evaluation. By introducing a vibration reduction performance influence coefficient compensation mechanism based on building structure characteristics and constructing multi-period vibration reduction performance attenuation prediction coefficients in combination with regional environmental factors for attenuation adjustment, the initial test data of laminated rubber isolation bearings can be dynamically corrected and long-term performance evaluated, thereby effectively improving the comprehensiveness, practicability and reliability of vibration reduction performance test results and meeting the full-life cycle performance evaluation requirements of isolation bearings.

[0017] Next, the technical solutions in the present invention will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited by the exemplary embodiments described herein. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention. Additionally, it should be noted that for the sake of description, only the parts related to the present invention are shown in the drawings rather than all of them.

[0018] Embodiment 1. Please refer to the attached Figure 1 drawings. The present invention provides a vibration reduction test method for a building vibration isolation bearing, which is applied to a vibration reduction test system for a building vibration isolation bearing, and specifically includes the following steps: S10: According to a preset test scheme, use an electro-hydraulic servo vibration table to conduct a vibration reduction test on the laminated rubber vibration isolation bearing, and obtain an initial vibration reduction test data set.

[0019] Furthermore, step S10 of the present invention further includes: S11: Obtain a preset test scheme, where the preset test scheme includes test indicators, test procedures, and parameter configurations. The test indicators at least include equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement; S12: Based on the test indicators, according to the test procedures and parameter configurations, use an electro-hydraulic servo vibration table to conduct multiple cyclic loading tests on the laminated rubber vibration isolation bearing, and output an initial vibration reduction test data set.

[0020] Specifically, first, obtain a preset test plan. The preset test plan includes test indicators, test procedures, and parameter configurations. The test procedures specify the specific operation steps and order, usually including sample preparation and pre-treatment (such as aging treatment, surface cleaning); installation on an electro-hydraulic servo vibration table or a dynamic loading platform; application of horizontal or vertical vibration loads with specific frequencies, amplitudes, and number of cycles; data acquisition and real-time monitoring; simulation of multiple loading conditions (such as repeated tests under different temperatures or loads); data processing and evaluation after the test, etc. The parameter configuration plan defines the key boundary conditions and working condition variables in the test, including but not limited to the maximum displacement amplitude applied (such as ±50mm, ±100mm), load frequency (such as 1Hz - 80Hz), number of cycles (such as 10, 20, 50 times), temperature control range (such as normal temperature, low temperature, high temperature simulation), support installation state (uniaxial loading, biaxial loading, etc.), initial compressive stress (i.e., vertical load pre-tightening force) configuration, etc. The test indicators at least include equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement. Among them, the equivalent stiffness characterizes the overall deformation resistance ability of the support under the action of vibration loads, usually calculated by the load-displacement slope within a specific displacement range in the hysteresis loop, and is a basic parameter for judging the bearing capacity and flexibility of the support; the equivalent damping ratio reflects the vibration energy dissipation ability of the support, usually derived from the ratio of the area enclosed by the hysteresis curve to the area enclosed by the equivalent elastic force curve, and is an important indicator for measuring the vibration reduction performance of the support; the hysteresis curve refers to the relationship image between the load and displacement during the loading-unloading process. The shape, area, and symmetry of the hysteresis curve can reflect the dynamic behaviors such as stiffness degradation, energy dissipation ability, and hysteresis characteristics of the support; the ultimate displacement represents the maximum displacement ability that the support can withstand under simulated extreme working conditions; the residual displacement refers to the residual displacement that the support fails to recover after the cyclic loading is completed, reflecting its recovery ability and the "self-centering" ability of the structure.

[0021] Next, according to the pre-established test indicators (including equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement), combined with the specific test procedures and parameter configuration schemes, set up the test equipment, and perform necessary pre-treatment and installation debugging on the test sample (laminated rubber isolator). For example, fix the support sample on the electro-hydraulic servo vibration table, and the electro-hydraulic servo vibration table should have the ability to accurately control the horizontal displacement, frequency, and loading rate; set the preloading parameters, such as axial pressure, horizontal displacement amplitude, loading frequency, and number of cycles; ensure that the environmental conditions (temperature, humidity, etc.) are in a controllable state, and if necessary, conduct the test in a specific temperature control chamber, etc. Then, during the loading process, apply repeated periodic horizontal loads through the electro-hydraulic servo vibration table. For example, use multiple loading cycles (such as 10 - 50 cycles for each displacement amplitude) to observe the response characteristics of the support under different fatigue states. During each loading cycle, record the force-displacement relationship of the support in real-time to generate a complete hysteresis curve graph, and at the same time capture the ultimate displacement and residual displacement. During the test, use a high-precision sensor system (displacement meter, load sensor, laser rangefinder, etc.) to automatically collect the response parameters during each cycle of loading. The collected data includes force-displacement relationship data points, the enclosed area of the hysteresis loop in each cycle (for calculating the damping ratio), peak load and corresponding displacement (for calculating the equivalent stiffness), residual displacement at the end of the cycle, whether the support shows non-linear response, damage, or performance degradation, etc. These data will form a set of original, multi-dimensional initial vibration reduction test data sets, which will be used as the basic data input for subsequent vibration reduction performance compensation, performance degradation prediction, and life assessment.

[0022] S20: Analyze the deviation of the vibration reduction performance in combination with the building structure characteristics of the building where the laminated rubber isolator is located, output a set of vibration reduction performance influence coefficients, and adjust the initial vibration reduction test data set to obtain an optimized vibration reduction test data set.

[0023] Furthermore, step S20 of the present invention further includes: S21: Obtain the building structure characteristics of the building where the laminated rubber isolator is located, where the building structure characteristics at least include building type, building height, building structure system, and mass distribution; S22: Obtain the structural attribute information of the laminated rubber isolator, and expand the structural attribute information according to the preset characteristic tolerance interval to obtain a structural attribute interval, where the structural attribute information at least includes structural design, geometric dimensions, material properties, and mechanical properties.

[0024] Specifically, first, to accurately evaluate and compensate for the vibration reduction performance of laminated rubber isolation bearings, it is necessary to comprehensively master the structural characteristic information of the building where the bearings are located. The description of building structure characteristics reflects the basic attributes of the building and its dynamic response characteristics, mainly including building type, building height, building structural system, and mass distribution. Among them, the building structural system refers to the main load-bearing system adopted by the building, such as frame structure, shear wall structure, frame-shear wall hybrid structure, steel structure, concrete structure, etc. The stiffness, damping, and mass distribution characteristics of different structural systems are different, which affect the dynamic response of the building as well as the force state and performance of the isolation bearings. Mass distribution refers to the mass distribution of each floor and each structural part of the building, covering the distribution of static loads and variable loads. Mass distribution determines the inertial characteristics of the building, and thus affects the acceleration response under dynamic loads, as well as the loading state and fatigue of the isolation bearings. By obtaining the above-mentioned building structural characteristic information, a compensation model for the vibration reduction performance of the bearings can be established for specific engineering scenarios, realizing the accurate evaluation and dynamic adjustment of the performance of the isolation bearings in the actual use environment, and improving the practicality and reliability of vibration reduction tests.

[0025] On the other hand, obtain the structural attribute information of the laminated rubber isolation bearing. Among them, the structural attribute information at least includes structural design, geometric dimensions, material properties, and mechanical properties. Structural design refers to the overall structure form and design parameter configuration of the bearing. For example, whether it is a natural rubber bearing (NRB) or a lead-core rubber bearing (LRB); the internal laminated structure design, etc. Geometric dimensions refer to the external dimensions of the bearing and the key parameters of the internal components. Material properties refer to the physical and chemical properties of the rubber material and steel plate material that make up the bearing. Mechanical properties refer to the response characteristics of the bearing under mechanical action, such as horizontal stiffness (initial stiffness and equivalent stiffness), vertical bearing capacity (axial compression bearing capacity), etc. Then, expand the structural attribute information according to the preset characteristic tolerance interval. The tolerance interval is the acceptable deviation range set for each structural attribute, usually set in the form of a percentage or an absolute value. For example, the total height of the bearing ±10%, the shear modulus ±0.05 MPa, the equivalent damping ratio ±5%, etc. This interval is set by expert experience, statistical historical sample variability, or standard specifications. Expand the upper and lower limits of each structural attribute information to generate interval values and obtain the structural attribute interval.

[0026] S23: Guided by the laminated rubber isolation bearing, using the structural attribute interval as the retrieval and comparison condition, and with the preset time range as the constraint, use big data technology to retrieve sample data, and obtain the sample building structure feature set and multiple sample vibration reduction performance influence coefficient sets.

[0027] Furthermore, step S23 of the present invention further includes: S231: Retrieve sample data using big data technology, obtain multiple sample building structure features that meet the structural attribute range and the preset time range, and construct a sample building structure feature set; S232: Obtain multiple historical vibration reduction data of different sample building structure features under actual loads. Based on the test indicators, compare the mapping deviation between the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load to obtain multiple index deviation sets, calculate the mean value set of index deviations as the sample vibration reduction performance influence coefficient set, and obtain multiple sample vibration reduction performance influence coefficient sets. Here, the index deviation is the ratio of the difference between the historical vibration reduction data and the vibration reduction test data to the vibration reduction test data.

[0028] Specifically, first, guided by the laminated rubber isolation bearing, that is, taking the type of the current target bearing (i.e., the laminated rubber isolation bearing) as the main analysis object, focusing on the application examples of such bearings in actual buildings, the purpose is to ensure the type consistency and comparability between the retrieved historical sample data and the target bearing; using the structural attribute range as the retrieval and comparison condition and the preset time range as the constraint. The preset time range refers to the limitation of the bearing service life, such as "within 3 years". Setting the time constraint is to control the samples at a similar service stage to facilitate the analysis of early decay behavior; then, use a big data analysis platform to mine and associate multi-source data such as the building engineering database, the vibration isolation bearing operation monitoring system, and historical inspection reports, and apply technologies such as keyword retrieval, structural similarity comparison, fuzzy matching, and parameter filtering to automatically screen eligible data instances, improve the retrieval efficiency and coverage, obtain multiple sample building structure features that meet the structural attribute range and the preset time range, and construct a sample building structure feature set.

[0029] To compensate for the actual deviation of the vibration reduction performance of the laminated rubber isolation bearing under different building structure features, it is necessary to extract representative building vibration response and vibration reduction performance data from historical samples and compare them with the experimental test data under standard loading conditions, so as to estimate the influence coefficient of the building structure on the vibration reduction performance. Then, obtain multiple historical vibration reduction data of different sample building structure features under actual loads, such as obtaining the vibration response of the actual building through the monitoring data inversion method; then, based on the test indicators, compare the mapping deviation between the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load, that is, for each group of historical vibration reduction data and experimental vibration reduction data, under the same loading conditions, compare them one by one based on the test indicators, calculate the mapping deviation, and obtain multiple index deviation sets. Here, the index deviation is the ratio of the difference between the historical vibration reduction data and the vibration reduction test data to the vibration reduction test data, which is a positive or negative number; further calculate the mean value of the multiple index deviation sets to obtain the mean value set of index deviations as the sample vibration reduction performance influence coefficient set, and obtain multiple sample vibration reduction performance influence coefficient sets.

[0030] S24: Using the sample building structure feature set as the input and the multiple sample vibration reduction performance influence coefficient sets as the supervision, train the BP neural network until convergence to obtain a vibration reduction performance influence analysis model; S25: Using the vibration reduction performance influence analysis model, conduct a vibration reduction performance deviation analysis based on the building structure features and output a vibration reduction performance influence coefficient set, where the vibration reduction performance influence coefficients correspond one-to-one with the test indicators.

[0031] Specifically, taking the sample building structure features as the input and the sample vibration reduction performance influence coefficient set as the supervision, use the sample building structure feature set and the multiple sample vibration reduction performance influence coefficient sets as training data to train the BP neural network. The BP neural network includes an input layer with a dimension equal to the number of structure features (such as building type, structural height, etc.); a hidden layer with one or more layers, using the ReLU or Sigmoid activation function; and an output layer with a dimension equal to the number of influence coefficients, outputting the predicted deviation value of each performance. During the training process, first input the training set, train the BP neural network using the backpropagation algorithm, and calculate the error using the loss function; then adjust the weights through the prediction error in each iteration; continue training until the loss function converges (the error is less than the set threshold or the number of iterations reaches the upper limit); obtain a stable model that can predict the influence of the vibration reduction performance of unknown building structures and obtain a vibration reduction performance influence analysis model. Finally, use the trained vibration reduction performance influence analysis model to conduct a vibration reduction performance deviation analysis based on the building structure features and output a vibration reduction performance influence coefficient set, where the vibration reduction performance influence coefficients correspond one-to-one with the test indicators.

[0032] Then, adjust the initial vibration reduction test data set according to the vibration reduction performance influence coefficient set to obtain an optimized vibration reduction test data set, where the optimized vibration reduction test data is the product of the vibration reduction performance influence coefficient and the initial vibration reduction test data of the corresponding test indicator. By introducing the vibration reduction performance influence coefficient set to specifically correct the initial vibration reduction test data set, the finally obtained optimized vibration reduction test data set can more truly reflect the actual vibration reduction performance of the laminated rubber isolator in a specific building structure scenario, thereby significantly improving the adaptability, accuracy, and reliability of the test results in actual engineering applications, and providing a more valuable reference basis for the performance evaluation and engineering selection of the isolator.

[0033] S30: Combining the regional environmental characteristics of the location where the laminated rubber isolator is located, conduct vibration reduction performance attenuation prediction according to multiple preset time zones, output multiple predicted vibration reduction performance attenuation coefficient sets, and respectively correct the optimized vibration reduction test data set to obtain multiple predicted vibration reduction test data sets.

[0034] Furthermore, step S30 of the present invention further includes: S31: Configure multiple preset divided time zones according to a preset time interval; S32: Obtain the regional environmental characteristics of the location where the laminated rubber vibration isolator is located. Among them, the regional environmental characteristics include the annual temperature fluctuation curve, the annual humidity fluctuation curve, and the annual solar radiation intensity curve.

[0035] Specifically, first, configure multiple preset divided time zones according to a preset time interval, that is, divide the time interval according to the service life (such as every 3 years), forming multiple time periods. These time intervals serve as analysis nodes for predicting the attenuation of vibration reduction performance at different usage stages. Then, obtain the regional environmental characteristics of the location where the laminated rubber vibration isolator is located. Among them, the regional environmental characteristics include the annual temperature fluctuation curve (reflecting the annual temperature difference change), the annual humidity fluctuation curve (affecting rubber aging and metal corrosion), and the annual solar radiation intensity curve (involving the influence of ultraviolet aging and thermal expansion). These long-term environmental data are used as input parameters to deduce the attenuation law of vibration reduction performance over time.

[0036] S33: Obtain a vibration reduction performance attenuation prediction model through training based on a BP neural network.

[0037] Furthermore, step S33 of the present invention further includes: S331: According to the historical operation and maintenance monitoring records of the same type of laminated rubber vibration isolator, collect a sample usage duration set and a sample environmental characteristics set, and statistically calculate the performance attenuation ratio of multiple test indicators under different sample usage durations and sample environmental characteristics, which is set as the sample performance attenuation coefficient, to obtain a sample performance attenuation coefficient set; S332: Use the sample usage duration set and the sample environmental characteristics set as inputs, and use the sample performance attenuation coefficient set as supervision to train the BP neural network until convergence to obtain a vibration reduction performance attenuation prediction model.

[0038] Specifically, first, utilize the historical operation and maintenance monitoring records of the same type of laminated rubber vibration isolator with similar structural attributes to the target support, including the status and performance data during long-term use, to collect a sample usage duration set and a sample environmental characteristics set. The sample usage duration refers to the cumulative usage time data of different samples in actual projects (for example: 1 year, 3 years, 5 years, etc.). The sample environmental characteristics set refers to the detailed characteristics of the environment corresponding to the sample, such as the annual temperature fluctuation curve, the annual humidity fluctuation curve, etc.; further, according to different usage durations and environmental characteristics, collect the test index data under different service years and environmental conditions in actual service, and statistically calculate the performance attenuation ratio of each test index (such as equivalent stiffness, damping ratio, ultimate displacement, etc.), which is set as the sample performance attenuation coefficient, to obtain a sample performance attenuation coefficient set.

[0039] Next, using the sample usage duration set and the sample environmental feature set as inputs, and using the sample performance attenuation coefficient set as supervision, the BP neural network is supervised and trained. First, the input data is passed layer by layer, and through weighted summation and activation function calculation, the network output is obtained. The network output is the predicted value of the vibration reduction performance attenuation under the current input conditions. Then, calculate the error between the network output and the target output (sample performance attenuation coefficient). Generally, the mean square error (MSE) is used as the loss function. Then, according to the error, calculate the gradient of each layer's weight through the chain rule, and the error is backpropagated to the input layer to update the weights and biases of each layer, and adjust the network parameters to reduce the error. The gradient descent method is used to update the weights and biases, and the forward propagation, error calculation, backpropagation, and parameter update steps are repeated. The training process continues until the loss function converges or reaches the preset number of training epochs, and a trained vibration reduction performance attenuation prediction model is obtained.

[0040] S34: Using the vibration reduction performance attenuation prediction model, according to the regional environmental features, perform vibration reduction performance attenuation prediction respectively according to multiple preset divided time zones, and output multiple predicted vibration reduction performance attenuation coefficient sets.

[0041] Specifically, using the vibration reduction performance attenuation prediction model, combined with the environmental features of the area where the laminated rubber vibration isolator is located, according to multiple preset time divided time zones, predict the vibration reduction performance attenuation in each time zone respectively, and output the corresponding multiple predicted vibration reduction performance attenuation coefficient sets. Then, correct the optimized vibration reduction test data set according to the multiple predicted vibration reduction performance attenuation coefficient sets respectively to obtain multiple predicted vibration reduction test data sets. Among them, the predicted vibration reduction test data is the product of the predicted vibration reduction performance attenuation coefficient and the optimized vibration reduction test data. By dynamically correcting the optimized vibration reduction test data set based on the multi-period performance attenuation coefficient, the vibration reduction performance change of the laminated rubber vibration isolator at different usage stages can be accurately reflected, thereby improving the timeliness and reliability of the vibration reduction performance evaluation.

[0042] S40: Generate vibration reduction test results according to the multiple preset divided time zones and the multiple predicted vibration reduction test data sets.

[0043] Furthermore, step S40 of the present invention further includes: S41: Perform mapping combination on the multiple preset divided time zones and the multiple predicted vibration reduction test data sets to generate a vibration reduction test report as the vibration reduction test result.

[0044] Specifically, map and combine the multiple preset divided time zones and the multiple predicted vibration reduction test data sets, that is, make each time interval (time zone) correspond one-to-one with the corresponding predicted vibration reduction test data set, and integrate them into a continuous and dynamic performance change sequence. Then, prepare a detailed vibration reduction test report according to the results of the mapping combination, including performance prediction data, performance change trends, etc. within each time zone, as the vibration reduction test results. This test report comprehensively reflects the vibration reduction performance change of the bearing from the initial stage to the end of the preset service life, provides a scientific basis for design, monitoring and maintenance, and can improve the comprehensiveness, practicability and reliability of the test results.

[0045] In summary, the vibration reduction test method for a building isolation bearing provided by the present invention has the following technical effects: By performing a vibration reduction test on the laminated rubber isolation bearing using an electro-hydraulic servo vibration table according to a preset test plan, an initial vibration reduction test data set is obtained; then, a vibration reduction performance deviation analysis is carried out in combination with the building structure characteristics of the building where the laminated rubber isolation bearing is located, and a vibration reduction performance influence coefficient set is output, and the initial vibration reduction test data set is adjusted to obtain an optimized vibration reduction test data set; further, in combination with the regional environmental characteristics of the location where the laminated rubber isolation bearing is located, a vibration reduction performance attenuation prediction is carried out according to multiple preset divided time zones, and multiple predicted vibration reduction performance attenuation coefficient sets are output, and the optimized vibration reduction test data set is corrected respectively to obtain multiple predicted vibration reduction test data sets; finally, a vibration reduction test result is generated according to the multiple preset divided time zones and the multiple predicted vibration reduction test data sets. That is to say, by introducing a vibration reduction performance influence coefficient compensation mechanism based on building structure characteristics and constructing a multi-period vibration reduction performance attenuation prediction coefficient in combination with regional environmental factors for attenuation adjustment, the initial test data of the laminated rubber isolation bearing can be dynamically corrected and long-term performance evaluated, so as to effectively improve the comprehensiveness, practicability and reliability of the vibration reduction performance test results and meet the full-life cycle performance evaluation requirements of the isolation bearing.

[0046] Embodiment 2, based on the same inventive concept as the vibration reduction test method for a building isolation bearing in the foregoing embodiment, the present invention also provides a vibration reduction test system for a building isolation bearing. Please refer to the attached Figure 2 , including: The vibration reduction test module 11 is used to perform vibration reduction tests on the laminated rubber vibration isolation bearing using an electro-hydraulic servo vibration table according to a preset test scheme, and obtain an initial vibration reduction test data set; the performance deviation analysis module 12 is used to perform vibration reduction performance deviation analysis in combination with the building structure characteristics of the building where the laminated rubber vibration isolation bearing is located, output a vibration reduction performance influence coefficient set, and adjust the initial vibration reduction test data set to obtain an optimized vibration reduction test data set; the performance attenuation prediction module 13 is used to perform vibration reduction performance attenuation prediction according to multiple preset divided time zones in combination with the regional environmental characteristics of the location where the laminated rubber vibration isolation bearing is located, output multiple predicted vibration reduction performance attenuation coefficient sets, and respectively correct the optimized vibration reduction test data set to obtain multiple predicted vibration reduction test data sets; the test result generation module 14 is used to generate a vibration reduction test result according to the multiple preset divided time zones and the multiple predicted vibration reduction test data sets.

[0047] Furthermore, the vibration reduction test system for a building vibration isolation bearing is also used to: obtain a preset test scheme, where the preset test scheme includes test indicators, test procedures, and parameter configurations, and the test indicators at least include equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement; based on the test indicators, perform multiple cyclic loading tests on the laminated rubber vibration isolation bearing using an electro-hydraulic servo vibration table according to the test procedures and parameter configurations, and output an initial vibration reduction test data set.

[0048] Furthermore, the vibration reduction test system for a building vibration isolation bearing is also used to: obtain the building structure characteristics of the building where the laminated rubber vibration isolation bearing is located, where the building structure characteristics at least include building type, building height, building structure system, and mass distribution; obtain the structural attribute information of the laminated rubber vibration isolation bearing, and expand the structural attribute information according to a preset characteristic tolerance interval to obtain a structural attribute interval, where the structural attribute information at least includes structural design, geometric dimensions, material properties, and mechanical properties; guided by the laminated rubber vibration isolation bearing, with the structural attribute interval as the retrieval and comparison condition, and with a preset time range as the constraint, use big data technology to perform sample data retrieval, and obtain a sample building structure characteristic set and multiple sample vibration reduction performance influence coefficient sets; use the sample building structure characteristic set as the input, and use the multiple sample vibration reduction performance influence coefficient sets as the supervision, and train the BP neural network until convergence to obtain a vibration reduction performance influence analysis model; use the vibration reduction performance influence analysis model to perform vibration reduction performance deviation analysis according to the building structure characteristics, and output a vibration reduction performance influence coefficient set, where the vibration reduction performance influence coefficient corresponds one-to-one with the test indicator.

[0049] Furthermore, the vibration reduction test system for the building vibration isolation bearing is also used for: retrieving sample data by using big data technology, obtaining multiple sample building structure features that meet the structural attribute interval and the preset time range, and constructing a sample building structure feature set; obtaining multiple historical vibration reduction data of different sample building structure features under actual loads, and based on the test indexes, comparing the mapping deviation between the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load to obtain multiple index deviation sets, calculating to obtain an index deviation mean set as a sample vibration reduction performance influence coefficient set, and obtaining multiple sample vibration reduction performance influence coefficient sets, where the index deviation is the ratio of the difference between the historical vibration reduction data and the vibration reduction test data to the vibration reduction test data.

[0050] Furthermore, the vibration reduction test system for the building vibration isolation bearing is also used for: configuring multiple preset divided time zones at preset time intervals; obtaining the regional environmental characteristics of the location where the laminated rubber vibration isolation bearing is located, where the regional environmental characteristics include the annual temperature fluctuation curve, the annual humidity fluctuation curve, and the annual solar radiation intensity curve; training a vibration reduction performance attenuation prediction model based on a BP neural network; using the vibration reduction performance attenuation prediction model to respectively perform vibration reduction performance attenuation prediction according to the regional environmental characteristics in multiple preset divided time zones, and outputting multiple predicted vibration reduction performance attenuation coefficient sets.

[0051] Furthermore, the vibration reduction test system for the building vibration isolation bearing is also used for: according to the historical operation and maintenance monitoring records of the same type of laminated rubber vibration isolation bearing, collecting a sample service life set and a sample environmental characteristic set, and statistically calculating the performance attenuation ratio of multiple test indexes under different sample service lives and sample environmental characteristics, which is set as a sample performance attenuation coefficient, to obtain a sample performance attenuation coefficient set; using the sample service life set and the sample environmental characteristic set as inputs, and using the sample performance attenuation coefficient set as supervision, training the BP neural network until convergence to obtain a vibration reduction performance attenuation prediction model.

[0052] Furthermore, the vibration reduction test system for the building vibration isolation bearing is also used for: performing a mapping combination on the multiple preset divided time zones and the multiple predicted vibration reduction test data sets to generate a vibration reduction test report as the vibration reduction test result.

[0053] In the present specification, the various embodiments are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The vibration reduction test method and specific examples of a building vibration isolation bearing in the foregoing Embodiment 1 are equally applicable to the vibration reduction test system of a building vibration isolation bearing in this embodiment. Through the detailed description of the vibration reduction test method of a building vibration isolation bearing above, those skilled in the art can clearly understand the vibration reduction test system of a building vibration isolation bearing in this embodiment. Therefore, for the sake of brevity of the specification, it will not be elaborated herein. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method section.

[0054] The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0055] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A vibration reduction test method for a building vibration isolation bearing, characterized in that, The method includes: According to a preset test scheme, use an electro-hydraulic servo vibration table to conduct vibration reduction tests on the laminated rubber isolator, and obtain an initial vibration reduction test data set; Combine the building structure characteristics of the building where the laminated rubber isolator is located to conduct vibration reduction performance deviation analysis, output a vibration reduction performance influence coefficient set, and adjust the initial vibration reduction test data set to obtain an optimized vibration reduction test data set; Combine the regional environmental characteristics of the location where the laminated rubber isolator is located, and conduct vibration reduction performance decay prediction according to multiple preset divided time zones, output multiple predicted vibration reduction performance decay coefficient sets, and respectively correct the optimized vibration reduction test data set to obtain multiple predicted vibration reduction test data sets; Generate a vibration reduction test result according to the multiple preset divided time zones and the multiple predicted vibration reduction test data sets.

2. The vibration reduction test method of a building vibration isolation bearing according to claim 1, characterized in that According to a preset test scheme, use an electro-hydraulic servo vibration table to conduct vibration reduction tests on the laminated rubber isolator, and obtain an initial vibration reduction test data set, including: Obtain a preset test scheme, where the preset test scheme includes test indicators, test procedures, and parameter configurations, and the test indicators at least include equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement; Based on the test indicators, according to the test procedures and parameter configurations, use an electro-hydraulic servo vibration table to conduct multiple cyclic loading tests on the laminated rubber isolator, and output an initial vibration reduction test data set.

3. The vibration reduction test method of a building vibration isolation bearing according to claim 2, characterized in that, Combine the building structure characteristics of the building where the laminated rubber isolator is located to conduct vibration reduction performance deviation analysis, and output a vibration reduction performance influence coefficient set, including: Obtain the building structure characteristics of the building where the laminated rubber isolator is located, where the building structure characteristics at least include building type, building height, building structure system, and mass distribution; Obtain the structural attribute information of the laminated rubber isolator, and expand the structural attribute information according to a preset characteristic tolerance interval to obtain a structural attribute interval, where the structural attribute information at least includes structural design, geometric dimensions, material properties, and mechanical properties; Taking the laminated rubber isolator as a guide, using the structural attribute interval as a retrieval comparison condition, and using a preset time range as a constraint, use big data technology to conduct sample data retrieval, and obtain a sample building structure characteristic set and multiple sample vibration reduction performance influence coefficient sets; Using the sample building structure characteristic set as input and the multiple sample vibration reduction performance influence coefficient sets as supervision, train the BP neural network until convergence to obtain a vibration reduction performance influence analysis model; Using the vibration reduction performance influence analysis model, conduct vibration reduction performance deviation analysis according to the building structure characteristics, and output a vibration reduction performance influence coefficient set, where the vibration reduction performance influence coefficient corresponds one-to-one with the test indicators.

4. The vibration reduction test method of a building vibration isolation bearing according to claim 3, characterized in that, Using big data technology to conduct sample data retrieval, and obtain a sample building structure characteristic set and multiple sample vibration reduction performance influence coefficient sets, including: Using big data technology to conduct sample data retrieval, obtain multiple sample building structure characteristics that meet the structural attribute interval and the preset time range, and construct a sample building structure characteristic set; Obtain multiple historical vibration damping data of different sample building structure characteristics under actual loads. Based on the test indicators, compare the mapping deviation between the multiple historical vibration damping data and multiple vibration damping test data under the same experimental load to obtain multiple indicator deviation sets, and calculate the mean set of indicator deviations as the sample vibration damping performance influence coefficient set, obtaining multiple sample vibration damping performance influence coefficient sets, where the indicator deviation is the ratio of the difference between the historical vibration damping data and the vibration damping test data to the vibration damping test data.

5. The vibration reduction test method of a building vibration isolation bearing according to claim 1, characterized in that Combined with the regional environmental characteristics of the location where the laminated rubber isolation bearing is located, perform vibration damping performance attenuation prediction according to multiple preset divided time zones, and output multiple predicted vibration damping performance attenuation coefficient sets, including: Configure multiple preset divided time zones at preset time intervals; Obtain the regional environmental characteristics of the location where the laminated rubber isolation bearing is located, where the regional environmental characteristics include the annual temperature fluctuation curve, the annual humidity fluctuation curve, and the annual solar radiation intensity curve; Train a vibration damping performance attenuation prediction model based on the BP neural network; Using the vibration damping performance attenuation prediction model, according to the regional environmental characteristics, perform vibration damping performance attenuation prediction respectively according to multiple preset divided time zones, and output multiple predicted vibration damping performance attenuation coefficient sets.

6. The vibration reduction test method of a building vibration isolation bearing according to claim 5, characterized in that, Training a vibration damping performance attenuation prediction model based on the BP neural network includes: According to the historical operation and maintenance monitoring records of the same type of laminated rubber isolation bearing, collect the sample service life set and the sample environmental characteristic set, and count the performance attenuation ratios of multiple test indicators under different sample service lives and sample environmental characteristics, set as the sample performance attenuation coefficient, obtaining the sample performance attenuation coefficient set; Use the sample service life set and the sample environmental characteristic set as inputs, and use the sample performance attenuation coefficient set as supervision to train the BP neural network until convergence to obtain the vibration damping performance attenuation prediction model.

7. The vibration reduction test method of a building vibration isolation bearing according to claim 1, characterized in that Perform mapping combination on the multiple preset divided time zones and the multiple predicted vibration damping test data sets to generate a vibration damping test report as the vibration damping test result.

8. A vibration reduction test system for a building isolation bearing, characterized in that, The steps for implementing the vibration damping test method of a building isolation bearing according to any one of claims 1 to 7 include: A vibration damping test module for performing a vibration damping test on the laminated rubber isolation bearing using an electro-hydraulic servo vibration table according to a preset test scheme to obtain an initial vibration damping test data set; A performance deviation analysis module for performing vibration damping performance deviation analysis in combination with the building structure characteristics of the building where the laminated rubber isolation bearing is located, outputting a vibration damping performance influence coefficient set, and adjusting the initial vibration damping test data set to obtain an optimized vibration damping test data set; A performance attenuation prediction module for performing vibration damping performance attenuation prediction according to multiple preset divided time zones in combination with the regional environmental characteristics of the location where the laminated rubber isolation bearing is located, outputting multiple predicted vibration damping performance attenuation coefficient sets, and respectively correcting the optimized vibration damping test data set to obtain multiple predicted vibration damping test data sets; A test result generation module for generating a vibration damping test result according to the multiple preset divided time zones and the multiple predicted vibration damping test data sets.

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