Vibration reduction testing method and system for building vibration isolation bearing

Abstract

The present invention provides a vibration reduction test method and system for building vibration isolation bearings, which relates to the field of vibration reduction performance testing. The method includes: analyzing vibration reduction performance deviations in combination with building structural characteristics, outputting a set of vibration reduction performance influence coefficients, adjusting the initial vibration reduction test data set, and obtaining an optimized vibration reduction test data set; predicting vibration reduction performance attenuation according to multiple preset time zones in combination with regional environmental characteristics, outputting multiple sets of predicted vibration reduction performance attenuation coefficients, and correcting the optimized vibration reduction test data sets respectively to obtain multiple predicted vibration reduction test data sets to generate test results. The method aims to solve the technical problems that traditional vibration reduction test methods lack a test system that matches building scenarios and a long-term performance evaluation method, resulting in insufficient comprehensiveness, practicality, and reliability of vibration reduction test evaluations. The method can effectively improve the comprehensiveness, practicality, and reliability of vibration reduction performance test results, and meet the full life cycle performance evaluation requirements of vibration isolation bearings.

Description

Technical Field

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

[0002] Laminated rubber vibration isolation bearings can effectively reduce the transmission of medium and low frequency vertical vibrations caused by train operation to the track structure and its ancillary facilities. To ensure that they have good vibration reduction effects under actual operating conditions, targeted vibration performance tests are usually required before the product leaves the factory or during the engineering selection stage to evaluate their response characteristics and durability under typical load frequency and amplitude conditions of rail transit.

[0003] However, existing vibration reduction performance testing methods mostly use standard loading procedures and idealized testing environments, and mainly measure 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 impact of building height, structural type, frequency response, etc. on bearing performance, nor do they systematically incorporate the deterioration effects of environmental factors such as temperature, humidity, UV aging, and vibration interference on its long-term service performance.

[0004] In addition, the existing technology lacks a set of evaluation methods that can dynamically reflect the evolution trend of vibration isolation bearing performance over time, making it difficult to effectively predict the performance of the bearing throughout its life cycle. The deviation between this test and the actual usage scenario can easily lead to distorted evaluation of the vibration reduction design and affect the safety and reliability of the building structure. Summary of the Invention

[0005] The purpose of the present invention is to provide a vibration reduction test method and system for building vibration isolation bearings to address the technical problems of conventional vibration reduction test methods for laminated rubber vibration isolation bearings, such as the lack of a test system that matches building scenarios and the lack of long-term performance evaluation methods, which results in insufficient comprehensiveness, practicality, and reliability of vibration reduction test evaluation. The present invention includes the following:

[0006] In a first aspect, the present invention provides a vibration reduction test method for a building vibration isolation bearing, comprising: performing a vibration reduction test on the laminated rubber vibration isolation bearing using an electro-hydraulic servo vibration table according to a preset test plan to obtain an initial vibration reduction test data set; performing a vibration reduction performance deviation analysis in combination with the architectural structural characteristics of the building in which the laminated rubber vibration isolation bearing is located, outputting a set of vibration reduction performance influence coefficients, adjusting the initial vibration reduction test data set to obtain an optimized vibration reduction test data set; performing a vibration reduction performance attenuation prediction in combination with the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing according to multiple preset divided time zones, outputting multiple sets of predicted vibration reduction performance attenuation coefficients, and correcting the optimized vibration reduction test data set respectively to obtain multiple predicted vibration reduction test data sets; and generating a vibration reduction test result based on the multiple preset divided time zones and the multiple predicted vibration reduction test data sets.

[0007] Preferably, the vibration reduction test method for a building vibration isolation bearing further includes: obtaining a preset test scheme, wherein the preset test scheme includes test indicators, test procedures and parameter configurations, and the test indicators include at least equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement and residual displacement; based on the test indicators, in accordance with the test procedures and parameter configurations, performing multiple cyclic loading tests on the laminated rubber vibration isolation bearing using an electro-hydraulic servo vibration table, and outputting an initial vibration reduction test data set.

[0008] Preferably, the vibration reduction test method for a building vibration isolation bearing further includes: obtaining architectural structural characteristics of the building in which the laminated rubber vibration isolation bearing is located, wherein the architectural structural characteristics include at least building type, building height, building structural system and mass distribution; obtaining 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, wherein the structural attribute information includes at least structural design, geometric dimensions, material properties and mechanical properties; using the laminated rubber vibration isolation bearing as a guide, the structural attribute interval as a search and comparison condition, and a preset time range as a constraint, using big data technology to perform sample data retrieval to obtain a sample building structural feature set and multiple sample vibration reduction performance influence coefficient sets; using the sample building structural feature set as input and 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 architectural structural characteristics, and outputting a vibration reduction performance influence coefficient set, wherein the vibration reduction performance influence coefficients and test indicators have a one-to-one correspondence.

[0009] Preferably, the vibration reduction test method for a building vibration isolation bearing further includes: using big data technology to retrieve sample data, obtaining multiple sample building structure characteristics that meet the structural property interval and the preset time range, and constructing a sample building structure characteristic set; obtaining multiple historical vibration reduction data of different sample building structure characteristics under actual loads, and based on the test indicators, performing mapping deviation comparison between the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load to obtain multiple indicator deviation sets, calculating the indicator deviation mean set as the sample vibration reduction performance influence coefficient set, and obtaining multiple sample vibration reduction performance influence coefficient sets, wherein the indicator 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.

[0010] Preferably, the vibration reduction test method for a building vibration isolation bearing further includes: configuring a plurality of preset divided time zones according to preset time intervals; obtaining regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, wherein the regional environmental characteristics include an annual temperature fluctuation curve, an annual humidity fluctuation curve, and an annual solar radiation intensity curve; obtaining a vibration reduction performance attenuation prediction model based on BP neural network training; utilizing the vibration reduction performance attenuation prediction model, according to the regional environmental characteristics, respectively predicting the vibration reduction performance attenuation in the plurality of preset divided time zones, and outputting a plurality of predicted vibration reduction performance attenuation coefficient sets.

[0011] Preferably, the vibration reduction test method for a building vibration isolation bearing also includes: based on the historical operation and maintenance monitoring records of similar laminated rubber vibration isolation bearings, collecting a sample usage time set and a sample environmental feature set, and counting the performance attenuation ratios of multiple test indicators under different sample usage times and sample environmental characteristics, setting them as sample performance attenuation coefficients, and obtaining a sample performance attenuation coefficient set; using the sample usage time set and sample environmental feature set as input, using the sample performance attenuation coefficient set as supervision, training the BP neural network until convergence, and obtaining a vibration reduction performance attenuation prediction model.

[0012] Preferably, the vibration reduction test method for a building vibration isolation bearing further comprises: mapping and combining the multiple preset divided time zones and the multiple predicted vibration reduction test data sets to generate a vibration reduction test report as a vibration reduction test result.

[0013] In a second aspect, the present invention also provides a vibration reduction test system for a building vibration isolation bearing, which is used to execute a vibration reduction test method for a building vibration isolation bearing as described in the first aspect, including: a vibration reduction test module, which is used to perform a vibration reduction test on the laminated rubber vibration isolation bearing according to a preset test plan using an electro-hydraulic servo vibration table to 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 architectural structure characteristics of the building where the laminated rubber vibration isolation bearing is located, output a set of vibration reduction performance influence coefficients, adjust the initial vibration reduction test data set, and 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 of the laminated rubber vibration isolation bearing according to multiple preset divided time zones, output multiple predicted vibration reduction performance attenuation coefficient sets, and correct the optimized vibration reduction test data set respectively to obtain multiple predicted vibration reduction test data sets; and a test result generation module, which is used to generate a vibration reduction test result based on the multiple preset divided time zones and the multiple predicted vibration reduction test data sets.

[0014] The embodiments of the present invention include the following advantages:

[0015] By using an electro-hydraulic servo vibration table to conduct vibration reduction tests on laminated rubber vibration isolation bearings according to a preset test plan, an initial vibration reduction test data set is obtained. Then, a vibration reduction performance deviation analysis is performed based on the structural characteristics of the building where the laminated rubber vibration isolation bearing is located, and a set of vibration reduction performance influence coefficients is output. The initial vibration reduction test data set is adjusted to obtain an optimized vibration reduction test data set. Furthermore, based on the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, vibration reduction performance attenuation predictions are performed according to multiple preset time zones, and multiple sets of predicted vibration reduction performance attenuation coefficients are output. The optimized vibration reduction test data set is then corrected to obtain multiple predicted vibration reduction test data sets. Finally, vibration reduction test results are generated based on the multiple preset time zones and the multiple predicted vibration reduction test data sets. In other words, by introducing a vibration reduction performance influence coefficient compensation mechanism based on building structural characteristics and constructing multi-period vibration reduction performance attenuation prediction coefficients based on regional environmental factors for attenuation adjustment, the initial test data of the laminated rubber vibration isolation bearing can be dynamically corrected and long-term performance evaluated, thereby effectively improving the comprehensiveness, practicality, and reliability of the vibration reduction performance test results and meeting the full life cycle performance evaluation requirements of the vibration isolation bearing. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flowchart of the steps of a vibration reduction test method for a building vibration isolation support according to the present invention;

[0017] Figure 2 The present invention is a structural schematic diagram of a vibration reduction test system for a building vibration isolation support.

[0018] Description of reference numerals:

[0019] Vibration reduction test module 11, performance deviation analysis module 12, performance degradation prediction module 13, test result generation module 14. DETAILED DESCRIPTION

[0020] The present invention provides a vibration reduction test method and system for building vibration isolation bearings, solving the technical problems that traditional vibration reduction test methods for laminated rubber vibration isolation bearings lack a test system that matches building scenarios and a means for long-term performance evaluation, resulting in insufficient comprehensiveness, practicality, and reliability of vibration reduction test evaluations. By introducing a vibration reduction performance influence coefficient compensation mechanism based on building structural characteristics and combining regional environmental factors to construct a multi-period vibration reduction performance attenuation prediction coefficient for attenuation adjustment, the initial test data of the laminated rubber vibration isolation bearing can be dynamically corrected and long-term performance evaluated, thereby effectively improving the comprehensiveness, practicality, and reliability of the vibration reduction performance test results and meeting the full life cycle performance evaluation requirements of the vibration isolation bearing.

[0021] Below, the technical solutions of the present invention will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only 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 to the example embodiments described herein. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. It should also be noted that, for the convenience of description, only the parts related to the present invention, rather than all, are shown in the accompanying drawings.

[0022] For example, see the attached Figure 1 The present invention provides a vibration reduction test method for a building vibration isolation support, which is applied to a vibration reduction test system for a building vibration isolation support, and specifically includes the following steps:

[0023] S10: According to the preset test plan, a vibration reduction test is performed on the laminated rubber vibration isolation bearing using an electro-hydraulic servo vibration table to obtain an initial vibration reduction test data set.

[0024] Furthermore, step S10 of the present invention further includes:

[0025] S11: Obtain a preset test plan, wherein the preset test plan includes test indicators, test procedures and parameter configurations, and the test indicators include at least equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement and residual displacement; S12: Based on the test indicators, in accordance with the test procedures and parameter configurations, use an electro-hydraulic servo vibration table to perform multiple cyclic loading tests on the laminated rubber vibration isolation bearing, and output an initial vibration reduction test data set.

[0026] Specifically, first, a preset test plan is obtained, wherein the preset test plan includes test indicators, test procedures and parameter configuration. The test procedure specifies the specific operation steps and sequence, which usually include sample preparation and pretreatment (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; multiple rounds of loading condition simulation (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 to 80Hz), number of cycles (such as 10, 20, 50 times), temperature control range (such as normal temperature, low temperature, high temperature simulation), support installation status (unidirectional loading, bidirectional loading, etc.), initial compressive stress (i.e. vertical load preload) configuration, etc. The test indicators include at least equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement and residual displacement, among which the equivalent stiffness characterizes the overall deformation resistance of the bearing under vibration load, and is usually calculated by the load-displacement slope within a specific displacement range in the hysteresis loop. It is the basic parameter for judging the bearing's bearing capacity and flexibility; the equivalent damping ratio reflects the bearing's ability to dissipate vibration energy, and is usually derived from the ratio of the area enclosed by the hysteresis curve to the area enclosed by the equivalent elastic force curve. It is an important indicator for measuring the vibration reduction performance of the bearing; the hysteresis curve refers to the relationship between load and displacement during the loading-unloading process. The shape, area and symmetry of the hysteresis curve can reflect the dynamic behaviors of the bearing, such as stiffness degradation, energy dissipation capacity and hysteresis characteristics; the ultimate displacement indicates the maximum displacement capacity that the bearing can withstand under simulated extreme working conditions; the residual displacement refers to the residual displacement that the bearing has not recovered after the cyclic loading is completed, reflecting its recovery ability and the "self-reset" ability of the structure.

[0027] Next, based on pre-defined test specifications (including equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement), along with specific test procedures and parameter configurations, the test equipment is set up, and the test specimen (laminated rubber vibration isolation bearing) undergoes necessary pretreatment, installation, and commissioning. For example, the bearing specimen is fixedly mounted on an electro-hydraulic servo shaker, which should be capable of precisely controlling horizontal displacement, frequency, and loading rate. Preload parameters, such as axial pressure, horizontal displacement amplitude, loading frequency, and number of cycles, are set. Environmental conditions (temperature, humidity, etc.) are controlled, and testing can be conducted in a temperature-controlled chamber if necessary. During the loading process, repeated cyclical horizontal loads are applied via the electro-hydraulic servo shaker. For example, multiple loading cycles (e.g., 10 to 50 cycles per displacement amplitude) are used to observe the bearing's response characteristics under different fatigue conditions. The bearing's force-displacement relationship is recorded in real time during each loading cycle to generate a complete hysteresis curve, capturing both ultimate and residual displacements. During the test, a high-precision sensor system (displacement meter, load sensor, laser rangefinder, etc.) is used to automatically collect the response parameters in each cyclic loading. The collected data includes force-displacement relationship data points, hysteresis loop area in each cycle (used to calculate the damping ratio), peak load and corresponding displacement (used to calculate equivalent stiffness), residual displacement at the end of the cycle, whether the support has nonlinear response, damage or performance degradation, etc. These data will form a set of original, multi-dimensional initial vibration reduction test data sets, which will serve as the basic data input for subsequent vibration reduction performance compensation, performance attenuation prediction and life assessment.

[0028] S20: performing a vibration reduction performance deviation analysis based on the architectural structural characteristics of the building where the laminated rubber vibration isolation bearing is located, outputting a vibration reduction performance influence coefficient set, and adjusting the initial vibration reduction test data set to obtain an optimized vibration reduction test data set.

[0029] Furthermore, step S20 of the present invention further includes:

[0030] S21: Obtaining architectural structural characteristics of the building in which the laminated rubber vibration isolation bearing is located, wherein the architectural structural characteristics include at least building type, building height, building structural system, and mass distribution; S22: Obtaining structural attribute information of the laminated rubber vibration isolation bearing, and expanding the structural attribute information according to a preset characteristic tolerance range to obtain a structural attribute range, wherein the structural attribute information includes at least structural design, geometric dimensions, material properties, and mechanical properties.

[0031] Specifically, first, to accurately evaluate and compensate for the vibration reduction performance of laminated rubber vibration isolation bearings, it is necessary to fully understand the structural characteristics of the building in which the bearings are located. Building structural characteristics describe the basic properties of a building and its dynamic response characteristics, mainly including building type, building height, building structural system, and mass distribution. The building structural system refers to the main load-bearing system used by the building, such as frame structure, shear wall structure, frame-shear wall hybrid structure, steel structure, concrete structure, etc. Different structural systems have different stiffness, damping, and mass distribution characteristics, which affect the dynamic response of the building and the stress state and performance of the vibration 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. The mass distribution determines the inertial characteristics of the building, which in turn affects the acceleration response under dynamic loads and the loading state and fatigue condition of the vibration isolation bearings. By obtaining the above-mentioned building structural characteristic information, a bearing vibration reduction performance compensation model for specific engineering scenarios can be established to achieve accurate evaluation and dynamic adjustment of the vibration isolation bearing performance in the actual use environment, thereby improving the practicality and reliability of vibration reduction testing.

[0032] On the other hand, the structural property information of the laminated rubber vibration isolation bearing is obtained, wherein the structural property information includes at least structural design, geometric dimensions, material properties and mechanical properties. The structural design refers to the overall structural form and design parameter configuration of the bearing, for example, whether it is a natural rubber bearing (NRB) or a lead rubber bearing (LRB); 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 constitute 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 compressive bearing capacity), etc. Then, the structural attribute information is expanded 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 absolute value, for example, the total height of the support ±10%, the shear modulus ±0.05MPa, the equivalent damping ratio ±5%, etc. This interval is set by expert experience, statistical historical sample variability or standard specifications. The upper and lower limits of each structural attribute information are expanded to generate an interval value and obtain the structural attribute interval.

[0033] S23: Using the laminated rubber vibration isolation bearing as a guide, the structural property range as a search and comparison condition, and the preset time range as a constraint, big data technology is used to perform sample data retrieval to obtain a sample building structure feature set and multiple sample vibration reduction performance influence coefficient sets.

[0034] Furthermore, step S23 of the present invention further includes:

[0035] S231: Utilize big data technology to retrieve sample data, obtain multiple sample building structure features that meet the structural attribute interval 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, and based on the test indicators, perform mapping deviation comparison between the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load to obtain multiple indicator deviation sets, calculate the indicator deviation mean set as the sample vibration reduction performance influence coefficient set, and obtain multiple sample vibration reduction performance influence coefficient sets, wherein the indicator 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.

[0036] Specifically, first, the laminated rubber vibration isolation bearing is used as a guide, that is, the type of the current target bearing (i.e., laminated rubber vibration isolation bearing) is used as the main analysis object, and the focus is on the application examples of this type of bearing in actual buildings, with the aim of ensuring that the retrieved historical sample data and the target bearing have type consistency and comparability; the structural attribute interval is used as the retrieval comparison condition, and the preset time range is used as the constraint. The preset time range refers to the restriction on the service life of the bearing, such as "within 3 years". The time constraint is set to control the samples to be in a similar service stage, which is convenient for analyzing early attenuation behavior; then, a big data analysis platform is used to mine and associate multi-source data such as construction project database, vibration isolation bearing operation monitoring system, historical inspection report, etc., and keyword retrieval, structural similarity comparison, fuzzy matching, parameter filtering and other technologies are used to automatically screen data instances that meet the conditions, improve retrieval efficiency and coverage, obtain multiple sample building structure features that meet the structural attribute interval and the preset time range, and construct a sample building structure feature set.

[0037] In order to compensate for the actual deviation of the vibration reduction performance of laminated rubber vibration isolation bearings under different building structural characteristics, it is necessary to extract representative building vibration response and vibration reduction performance data from historical samples and compare them with experimental test data under standard loading conditions to estimate the influence coefficient of the building structure on the vibration reduction performance. Next, multiple historical vibration reduction data of different sample building structural characteristics under actual loads are obtained, such as through the monitoring data inversion method to obtain the vibration response of the actual building; then, based on the test indicators, mapping deviation comparison is performed based on the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load. That is, for each set of historical vibration reduction data and experimental vibration reduction data, under the same loading conditions, a one-to-one comparison is performed based on the test indicators, and the mapping deviation is calculated to obtain multiple indicator deviation sets, where the indicator 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, the mean of the multiple indicator deviation sets is calculated to obtain the indicator deviation mean set, which is used as the sample vibration reduction performance influence coefficient set, and multiple sample vibration reduction performance influence coefficient sets are obtained.

[0038] S24: Using the sample building structure feature set as input and the multiple sample vibration reduction performance influence coefficient sets as supervision, the BP neural network is trained until convergence to obtain a vibration reduction performance influence analysis model; S25: Using the vibration reduction performance influence analysis model, a vibration reduction performance deviation analysis is performed according to the building structure characteristics, and a vibration reduction performance influence coefficient set is output, wherein the vibration reduction performance influence coefficients correspond to the test indicators one-to-one.

[0039] Specifically, a BP neural network is trained using sample building structural features as input and a set of sample vibration damping performance influence coefficients as supervision. These sample building structural features and multiple sets of sample vibration damping performance influence coefficients serve as training data. The BP neural network comprises an input layer with a dimension equal to the number of structural features (such as building type and height); one or more hidden layers using ReLU or Sigmoid activation functions; and an output layer with a dimension equal to the number of influence coefficients, which outputs the predicted performance deviation value for each item. During the training process, the training set is first input and the BP neural network is trained using a backpropagation algorithm. The error is calculated using a loss function. The weights are then adjusted based on the predicted error at each iteration. Training continues until the loss function converges (the error falls below a set threshold or the number of iterations reaches an upper limit). This results in a stable model capable of predicting the vibration damping performance impact of unknown building structures, thereby obtaining a vibration damping performance impact analysis model. Finally, the trained vibration damping performance impact analysis model is used to perform vibration damping performance deviation analysis based on the building structural features, outputting a set of vibration damping performance influence coefficients, where each vibration damping performance influence coefficient corresponds to a test indicator.

[0040] The initial vibration damping test dataset is then adjusted based on the vibration damping performance influence coefficient set to obtain an optimized vibration damping test dataset, where the optimized vibration damping test data is the product of the vibration damping performance influence coefficient and the initial vibration damping test data for the corresponding test indicator. By introducing the vibration damping performance influence coefficient set to perform targeted corrections to the initial vibration damping test dataset, the resulting optimized vibration damping test dataset can more realistically reflect the actual vibration damping performance of the laminated rubber vibration isolation bearing in specific building structure scenarios, thereby significantly improving the adaptability, accuracy, and reliability of the test results in actual engineering applications, providing a more valuable reference for vibration isolation bearing performance evaluation and engineering selection.

[0041] S30: Based on the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, vibration reduction performance attenuation prediction is performed according to multiple preset time zones, multiple predicted vibration reduction performance attenuation coefficient sets are output, and the optimized vibration reduction test data sets are corrected respectively to obtain multiple predicted vibration reduction test data sets.

[0042] Furthermore, step S30 of the present invention further includes:

[0043] S31: configuring a plurality of preset time zones according to preset time intervals; S32: obtaining regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, wherein the regional environmental characteristics include an annual temperature fluctuation curve, an annual humidity fluctuation curve, and an annual solar radiation intensity curve.

[0044] Specifically, multiple preset time zones are configured according to preset time intervals. This means that time intervals are divided according to the service life (e.g., one every three years), forming multiple time periods. These time intervals serve as analysis nodes for predicting the attenuation of vibration damping performance during different stages of use. Next, the regional environmental characteristics of the laminated rubber vibration isolation bearing are obtained. These regional environmental characteristics include the annual temperature fluctuation curve (reflecting the temperature difference throughout the year), the annual humidity fluctuation curve (affecting rubber aging and metal corrosion), and the annual solar radiation intensity curve (involving UV aging and thermal expansion). These long-term environmental data are used as input parameters to derive the time-dependent attenuation pattern of vibration damping performance.

[0045] S33: A vibration reduction performance attenuation prediction model is obtained based on BP neural network training.

[0046] Furthermore, step S33 of the present invention further includes:

[0047] S331: Based on the historical operation and maintenance monitoring records of similar laminated rubber vibration isolation bearings, a sample usage time set and a sample environmental feature set are collected, and the performance attenuation ratios of multiple test indicators under different sample usage times and sample environmental characteristics are counted, set as the sample performance attenuation coefficient, and a sample performance attenuation coefficient set is obtained; S332: Using the sample usage time set and the sample environmental feature set as input, and using the sample performance attenuation coefficient set as supervision, the BP neural network is trained until convergence to obtain a vibration reduction performance attenuation prediction model.

[0048] Specifically, first, the historical operation and maintenance monitoring records of similar laminated rubber vibration isolation bearings with similar structural properties to the target bearings, including status and performance data during long-term use, are used to collect sample usage time sets and sample environmental characteristic sets. The sample usage time refers to the cumulative usage time data of different samples in actual projects (for example: 1 year, 3 years, 5 years, etc.), and the sample environmental characteristic set refers to the detailed characteristics of the environment in which the corresponding samples are located, such as the annual temperature fluctuation curve, the annual humidity fluctuation curve, etc.; further, according to different usage times and environmental characteristics, test index data under different service years and environmental conditions in actual service are collected, and the performance attenuation ratio of each test indicator (such as equivalent stiffness, damping ratio, ultimate displacement, etc.) is statistically calculated and set as the sample performance attenuation coefficient to obtain the sample performance attenuation coefficient set.

[0049] Next, the sample usage time set and the sample environment feature set are used as input, and the sample performance attenuation coefficient set is used as supervision to perform supervised training on the BP neural network. First, the input data is passed layer by layer, and the network output is obtained through weighted summation and activation function calculation. The network output is the vibration reduction performance attenuation prediction value under the current input conditions; then, the error between the network output and the target output (sample performance attenuation coefficient) is calculated, and the mean square error (MSE) is generally used as the loss function; then, based on the error, the gradient of the weight of each layer is calculated by the chain rule, and the error is passed back to the input layer, the weights and biases of each layer are updated, and the network parameters are adjusted to reduce the error; the gradient descent method is used to update the weights and biases, and the forward propagation, error calculation, back propagation and parameter update steps are repeated. The training process continues until the loss function converges or the preset number of training rounds is reached, and a trained vibration reduction performance attenuation prediction model is obtained.

[0050] S34: Utilizing the vibration reduction performance attenuation prediction model, according to the regional environmental characteristics, and in accordance with a plurality of preset time zones, vibration reduction performance attenuation prediction is performed respectively, and a plurality of predicted vibration reduction performance attenuation coefficient sets are output.

[0051] Specifically, the vibration damping performance attenuation prediction model is used in combination with the environmental characteristics of the area where the laminated rubber vibration isolation bearing is located. Time zones are divided according to multiple preset time periods, and the vibration damping performance attenuation in each time zone is predicted, and corresponding multiple sets of predicted vibration damping performance attenuation coefficients are output. Next, the optimized vibration damping test data set is corrected according to the multiple sets of predicted vibration damping performance attenuation coefficients to obtain multiple predicted vibration damping test data sets, wherein the predicted vibration damping test data is the product of the predicted vibration damping performance attenuation coefficient and the optimized vibration damping test data. By dynamically correcting the optimized vibration damping test data set based on the multi-period performance attenuation coefficient, the changes in the vibration damping performance of the laminated rubber vibration isolation bearing at different stages of use can be accurately reflected, thereby improving the timeliness and reliability of the vibration damping performance evaluation.

[0052] S40: 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.

[0053] Furthermore, step S40 of the present invention further includes:

[0054] S41: Mapping and combining 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 a vibration reduction test result.

[0055] Specifically, the multiple preset time zones and the multiple predicted vibration reduction test data sets are mapped and combined. This means that each time interval (time zone) is mapped one-to-one with the corresponding predicted vibration reduction test data set, integrating them into a continuous, dynamic performance change sequence. Based on the mapping results, a detailed vibration reduction test report is compiled, including performance prediction data and performance change trends within each time zone, as the vibration reduction test results. This test report comprehensively reflects the changes in the bearing's vibration reduction performance from its initial stage to the end of its preset lifespan, providing a scientific basis for design, monitoring, and maintenance, and enhancing the comprehensiveness, practicality, and reliability of the test results.

[0056] In summary, the vibration reduction test method for a building vibration isolation support provided by the present invention has the following technical effects:

[0057] By using an electro-hydraulic servo vibration table to conduct vibration reduction tests on laminated rubber vibration isolation bearings according to a preset test plan, an initial vibration reduction test data set is obtained. Then, a vibration reduction performance deviation analysis is performed based on the structural characteristics of the building where the laminated rubber vibration isolation bearing is located, and a set of vibration reduction performance influence coefficients is output. The initial vibration reduction test data set is adjusted to obtain an optimized vibration reduction test data set. Furthermore, based on the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, vibration reduction performance attenuation predictions are performed according to multiple preset time zones, and multiple sets of predicted vibration reduction performance attenuation coefficients are output. The optimized vibration reduction test data set is then corrected to obtain multiple predicted vibration reduction test data sets. Finally, vibration reduction test results are generated based on the multiple preset time zones and the multiple predicted vibration reduction test data sets. In other words, by introducing a vibration reduction performance influence coefficient compensation mechanism based on building structural characteristics and constructing multi-period vibration reduction performance attenuation prediction coefficients based on regional environmental factors for attenuation adjustment, the initial test data of the laminated rubber vibration isolation bearing can be dynamically corrected and long-term performance evaluated, thereby effectively improving the comprehensiveness, practicality, and reliability of the vibration reduction performance test results and meeting the full life cycle performance evaluation requirements of the vibration isolation bearing.

[0058] In the second embodiment, based on the same inventive concept as the vibration reduction test method of a building vibration isolation support in the above embodiment, the present invention also provides a vibration reduction test system for a building vibration isolation support, see the attached Figure 2 ,include:

[0059] The vibration reduction test module 11 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 to obtain an initial vibration reduction test data set; the performance deviation analysis module 12 is used to perform a vibration reduction performance deviation analysis based on the architectural structure characteristics of the building where the laminated rubber vibration isolation bearing is located, output a set of vibration reduction performance influence coefficients, adjust the initial vibration reduction test data set, and obtain an optimized vibration reduction test data set; the performance attenuation prediction module 13 is used to predict the vibration reduction performance attenuation according to multiple preset time zones based on the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, output multiple sets of predicted vibration reduction performance attenuation coefficients, and correct the optimized vibration reduction test data set respectively to obtain multiple predicted vibration reduction test data sets; the test result generation module 14 is used to generate a vibration reduction test result based on the multiple preset time zones and the multiple predicted vibration reduction test data sets.

[0060] Furthermore, the vibration reduction test system for a building vibration isolation bearing is also used to: obtain a preset test plan, wherein the preset test plan includes test indicators, test procedures and parameter configurations, and the test indicators include at least equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement and residual displacement; based on the test indicators, in accordance with the test procedures and parameter configurations, use an electro-hydraulic servo vibration table to perform multiple cyclic loading tests on the laminated rubber vibration isolation bearing, and output an initial vibration reduction test data set.

[0061] Furthermore, the vibration reduction testing system for a building vibration isolation bearing is also used to: obtain architectural structural characteristics of the building in which the laminated rubber vibration isolation bearing is located, wherein the architectural structural characteristics include at least building type, building height, building structural system and mass distribution; obtain structural attribute information of the laminated rubber vibration isolation bearing, expand the structural attribute information according to a preset characteristic tolerance interval to obtain a structural attribute interval, wherein the structural attribute information includes at least structural design, geometric dimensions, material properties and mechanical properties; use the laminated rubber vibration isolation bearing as a guide, the structural attribute interval as a search and comparison condition, and a preset time range as a constraint to perform sample data retrieval using big data technology to obtain a sample building structural feature set and multiple sample vibration reduction performance influence coefficient sets; use the sample building structural feature set as input and the multiple sample vibration reduction performance influence coefficient sets as supervision to train a 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 architectural structural characteristics, and output a vibration reduction performance influence coefficient set, wherein the vibration reduction performance influence coefficients and test indicators have a one-to-one correspondence.

[0062] Furthermore, the vibration reduction test system for a building vibration isolation bearing is also used to: use big data technology to retrieve sample data, obtain multiple sample building structure characteristics that meet the structural property interval and the preset time range, and construct a sample building structure characteristic set; obtain multiple historical vibration reduction data of different sample building structure characteristics under actual loads, and based on the test indicators, perform mapping deviation comparison between the multiple historical vibration reduction data and multiple vibration reduction test data under the same experimental load to obtain multiple indicator deviation sets, calculate the indicator deviation mean set as the sample vibration reduction performance influence coefficient set, and obtain multiple sample vibration reduction performance influence coefficient sets, wherein the indicator 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.

[0063] Furthermore, the vibration reduction test system for a building vibration isolation bearing is also used to: configure multiple preset time zones according to preset time intervals; obtain regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, wherein the regional environmental characteristics include an annual temperature fluctuation curve, an annual humidity fluctuation curve, and an annual solar radiation intensity curve; obtain a vibration reduction performance attenuation prediction model based on BP neural network training; utilize the vibration reduction performance attenuation prediction model to perform vibration reduction performance attenuation predictions according to the regional environmental characteristics and in accordance with multiple preset time zones, and output multiple sets of predicted vibration reduction performance attenuation coefficients.

[0064] Furthermore, the vibration reduction test system for a building vibration isolation bearing is also used to: collect a sample usage time set and a sample environmental feature set based on historical operation and maintenance monitoring records of similar laminated rubber vibration isolation bearings, and count the performance attenuation ratios of multiple test indicators under different sample usage times and sample environmental characteristics, set them as sample performance attenuation coefficients, and obtain a sample performance attenuation coefficient set; use the sample usage time set and sample environmental feature set as input, use the sample performance attenuation coefficient set as supervision, train the BP neural network until convergence, and obtain a vibration reduction performance attenuation prediction model.

[0065] Furthermore, the vibration reduction test system for a building vibration isolation support is also used to: map and combine the multiple preset divided time zones and the multiple predicted vibration reduction test data sets to generate a vibration reduction test report as a vibration reduction test result.

[0066] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The vibration reduction test method and specific examples of a building vibration isolation support in the aforementioned embodiment are also applicable to a vibration reduction test system for a building vibration isolation support in this embodiment. Through the aforementioned detailed description of the vibration reduction test method for a building vibration isolation support, those skilled in the art can clearly understand the vibration reduction test system for a building vibration isolation support in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. 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 method part description.

[0067] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0068] Obviously, those skilled in the art may 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 equivalents, the present invention is intended to include these modifications and variations.

Claims

1. A vibration reduction test method for a building vibration isolation support, characterized in that: Methods include: According to the preset test plan, the laminated rubber vibration isolation bearing is tested for vibration reduction using an electro-hydraulic servo vibration table to obtain the initial vibration reduction test data set; Performing a vibration reduction performance deviation analysis based on the architectural structural characteristics of the building where the laminated rubber vibration isolation bearing is located, outputting a vibration reduction performance influence coefficient set, and adjusting the initial vibration reduction test data set to obtain an optimized vibration reduction test data set; In combination with the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, the vibration reduction performance attenuation prediction is performed according to multiple preset time zones, and multiple predicted vibration reduction performance attenuation coefficient sets are output. The optimized vibration reduction test data sets are corrected respectively to obtain multiple predicted vibration reduction test data sets; generating a vibration reduction test result according to the plurality of preset divided time zones and the plurality of predicted vibration reduction test data sets; According to the preset test plan, the laminated rubber vibration isolation bearing is tested for vibration reduction using an electro-hydraulic servo vibration table to obtain the initial vibration reduction test data set, including: Obtaining a preset test plan, wherein the preset test plan includes test indicators, test procedures, and parameter configurations, and the test indicators include at least equivalent stiffness, equivalent damping ratio, hysteresis curve, ultimate displacement, and residual displacement; Based on the test indicators, in accordance with the test process and parameter configuration, the laminated rubber vibration isolation bearing is subjected to multiple cyclic loading tests using an electro-hydraulic servo vibration table to output an initial vibration reduction test data set; Among them, the vibration reduction performance deviation analysis is carried out in combination with the architectural structural characteristics of the building where the laminated rubber vibration isolation bearing is located, and the vibration reduction performance influence coefficient set is output, including: Obtaining architectural structural characteristics of the building where the laminated rubber vibration isolation bearing is located, wherein the architectural structural characteristics include at least building type, building height, building structural system, and mass distribution; Acquiring 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, wherein the structural attribute information includes at least structural design, geometric dimensions, material properties, and mechanical properties; Guided by the laminated rubber vibration isolation bearing, using the structural property interval as the search and comparison condition, and constrained by the preset time range, big data technology is used to perform sample data retrieval to obtain a sample building structure feature set and multiple sample vibration reduction performance influence coefficient sets; Using the sample building structure feature set as input and the multiple sample vibration reduction performance influence coefficient sets as supervision, training the BP neural network until convergence, and obtaining a vibration reduction performance influence analysis model; Using the vibration reduction performance impact analysis model, a vibration reduction performance deviation analysis is performed according to the building structure characteristics, and a vibration reduction performance impact coefficient set is output, wherein the vibration reduction performance impact coefficients correspond to the test indicators one by one; Among them, combined with the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, the vibration reduction performance attenuation prediction is performed according to multiple preset time zones, and multiple sets of predicted vibration reduction performance attenuation coefficients are output, including: Configure multiple preset time zones according to preset time intervals; Obtaining regional environmental characteristics of the location where the laminated rubber vibration isolation bearing is located, wherein the regional environmental characteristics include an annual temperature fluctuation curve, an annual humidity fluctuation curve, and an annual solar radiation intensity curve; The vibration reduction performance attenuation prediction model is obtained based on BP neural network training; The vibration reduction performance attenuation prediction model is used to predict the vibration reduction performance attenuation in accordance with the regional environmental characteristics and in accordance with a plurality of preset divided time zones, and a plurality of predicted vibration reduction performance attenuation coefficient sets are output.

2. A vibration reduction test method for a building vibration isolation support according to claim 1, characterized in that: Using big data technology to retrieve sample data, we can obtain a sample building structure feature set and multiple sample vibration reduction performance influence coefficient sets, including: Using big data technology to retrieve sample data, obtain multiple sample building structure features that meet the structural attribute interval and the preset time range, and construct a sample building structure feature set; A plurality of historical vibration reduction data of different sample building structure characteristics under actual loads are obtained, and based on the test indicators, a mapping deviation comparison is performed between the plurality of historical vibration reduction data and a plurality of vibration reduction test data under the same experimental load to obtain a plurality of indicator deviation sets, and an indicator deviation mean set is calculated to serve as a sample vibration reduction performance influence coefficient set, thereby obtaining a plurality of sample vibration reduction performance influence coefficient sets, wherein the indicator deviation is a ratio of a difference between the historical vibration reduction data and the vibration reduction test data to the vibration reduction test data.

3. A vibration reduction test method for a building vibration isolation support according to claim 1, characterized in that: The vibration reduction performance attenuation prediction model is obtained based on BP neural network training, including: Based on the historical operation and maintenance monitoring records of similar laminated rubber vibration isolation bearings, a sample usage time set and a sample environmental characteristic set are collected. The performance attenuation ratios of multiple test indicators under different sample usage times and sample environmental characteristics are calculated and set as sample performance attenuation coefficients to obtain a sample performance attenuation coefficient set. The sample usage time set and the sample environment feature set are used as input, the sample performance attenuation coefficient set is used as supervision, and the BP neural network is trained until convergence to obtain a vibration reduction performance attenuation prediction model.

4. A vibration reduction test method for a building vibration isolation support according to claim 1, characterized in that: The plurality of preset divided time zones and the plurality of predicted vibration reduction test data sets are mapped and combined to generate a vibration reduction test report as a vibration reduction test result.

5. A vibration reduction test system for a building vibration isolation support, characterized in that: The steps for implementing the vibration reduction test method of a building vibration isolation bearing according to any one of claims 1 to 4 include: A vibration reduction test module 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 to obtain an initial vibration reduction test data set; a performance deviation analysis module for performing a vibration reduction performance deviation analysis based on the architectural structural characteristics of the building in which the laminated rubber vibration isolation bearing is located, outputting a set of vibration reduction performance influence coefficients, and adjusting the initial vibration reduction test data set to obtain an optimized vibration reduction test data set; a performance attenuation prediction module for predicting vibration reduction performance attenuation according to a plurality of preset time zones in combination with the regional environmental characteristics of the location of the laminated rubber vibration isolation bearing, outputting a plurality of predicted vibration reduction performance attenuation coefficient sets, and respectively correcting the optimized vibration reduction test data sets to obtain a plurality of predicted vibration reduction test data sets; A test result generating module is configured 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.

Images