Design method and system of seismic isolation and vibration reduction bearings based on the seismic reduction rate of building structures

Abstract

The present invention provides a design method and system for seismic isolation bearings based on the seismic reduction rate of building structures, which relates to the technical field of building seismic isolation bearings. The present invention collects and analyzes the seismic reduction rate of the seismic isolation bearings of the foundation, and at the same time conducts quantitative analysis on temperature and humidity, gradually detects the performance of its elastic modulus at different temperatures and humidities, and conducts correlation analysis on the detected data to generate a humidity sensitivity coefficient reflecting the performance change caused by humidity change and a temperature sensitivity coefficient reflecting the performance change caused by temperature change, and conducts correlation analysis on the seismic reduction rate, humidity sensitivity coefficient and temperature sensitivity coefficient to generate a dynamic adaptability index reflecting the resistance strength of the seismic isolation bearing to external temperature and humidity under the current temperature and humidity conditions, so as to output a qualified confidence index reflecting the seismic performance goodness of the seismic isolation bearing under the current conditions, and output whether its seismic isolation and seismic reduction performances are qualified.

Description

Technical Field

[0001] The invention relates to the technical field of building seismic isolation bearings, and in particular to a design method and system for seismic isolation bearings based on the seismic absorption rate of building structures. Background Art

[0002] Seismic isolation bearings refer to the supporting devices set up in the structure to meet the seismic isolation requirements. They are to add a seismic isolation layer between the superstructure and the foundation, install rubber seismic isolation bearings, and play a soft connection with the ground. Through this technology, about 80% of the energy of the earthquake can be offset. It is a structural member with small horizontal stiffness and large vertical stiffness. It can withstand large horizontal deformation and can be used as part of the load-bearing system.

[0003] The material composition of building seismic isolation bearings is complex, and they are usually composed of rubber, composite materials, concrete, steel bars, polyurethane, etc. They have different properties under different temperatures and humidities. Temperature changes will cause them to age and degrade in performance, and humidity changes will corrode the materials, thus affecting the shock-absorbing performance. However, general seismic isolation bearings do not fully consider the factors that cause changes in material properties due to changes in temperature and humidity environments during testing.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The purpose of the present invention is to provide a design method and system for a seismic isolation bearing based on the seismic absorption rate of a building structure, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The design method of seismic isolation bearings based on the seismic absorption rate of building structures includes the following specific steps:

[0008] Step 1: In the process of engineering design of the seismic isolation bearing, during the normal operation test of the seismic isolation bearing, vibration data of the seismic isolation bearing is collected, wherein the vibration data includes input vibration amplitude and output vibration amplitude;

[0009] Step 2: Perform correlation analysis on the vibration data to generate a damping rate, which is used to reflect the damping performance of the seismic isolation bearing;

[0010] Step 3: Install a temperature and humidity sensor on the seismic isolation support, change the humidity value while keeping the temperature constant, and measure the elastic modulus of the seismic isolation support; change the temperature value while keeping the humidity constant, and measure the elastic modulus of the seismic isolation support. The elastic modulus is used to reflect the stiffness of the seismic isolation support material when it is subjected to stress;

[0011] Step 4: Perform a correlation analysis on the elastic modulus of the seismic isolation bearing to generate a humidity sensitivity coefficient and a temperature sensitivity coefficient. The humidity sensitivity coefficient is used to reflect the change of the elastic modulus of the seismic isolation bearing caused by humidity changes, and the temperature sensitivity coefficient is used to reflect the change of the elastic modulus of the seismic isolation bearing caused by temperature changes.

[0012] Step 5: Perform correlation analysis on the damping rate, humidity sensitivity coefficient and temperature sensitivity coefficient to generate a dynamic adaptability index DAI. The dynamic adaptability index DAI is used to reflect the resistance strength of the seismic isolation bearing to the external temperature and humidity under the current temperature and humidity conditions.

[0013] Step 6: Perform correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI. The qualified confidence index NQCI is used to reflect the goodness of the seismic isolation bearing's damping performance under current conditions.

[0014] Step 7: Based on the numerical value of the qualified confidence index, determine whether the seismic isolation bearing has qualified shock-absorbing performance under the current humidity and temperature.

[0015] Furthermore, acceleration sensors are installed at the bottom and top of the seismic isolation support respectively. The top acceleration sensor collects vibration data at the connection between the contact surface and the upper structure, and the bottom acceleration sensor collects vibration data between the seismic isolation support and the base. The vibration data is processed for noise and then the vibration amplitude is collected. The top acceleration sensor collects the output vibration amplitude A output The acceleration sensor at the bottom collects the input vibration amplitude A input .

[0016] Furthermore, the vibration data is subjected to correlation analysis to generate the damping rate D r , the formula based on is:

[0017]

[0018] The shock absorption rate is used to reflect the shock absorption performance of the seismic isolation bearing.

[0019] Furthermore, in S3, the humidity change range is 11, 12, 13, ..., 90 percentiles, the temperature change range is -50, -49, -48, ..., 49 degrees Celsius, and the elastic modulus is Used to reflect the stiffness of the seismic isolation bearing material when subjected to stress when the humidity is H and the temperature is T.

[0020] Furthermore, the elastic modulus Perform correlation analysis to generate humidity sensitivity coefficient α T , β T , the formula based on is:

[0021]

[0022] Humidity sensitivity coefficients α T and β T are used to reflect the change in the elastic modulus of the seismic isolation bearing caused by humidity change at temperature T;

[0023] Perform a correlation analysis on the elastic modulus to generate temperature sensitivity coefficients α H and β H , and the formula based on is:

[0024]

[0025] Temperature sensitivity coefficients α H and β H are used to reflect the change in the elastic modulus of the seismic isolation bearing caused by temperature change at humidity H;

[0026] Input the data according to the above formula through Matlab software and fit to generate humidity sensitivity coefficients α T and β T and temperature sensitivity coefficients α H and β H .

[0027] Furthermore, perform a correlation analysis on the damping reduction rate D r , humidity sensitivity coefficients α T and β T and temperature sensitivity coefficients α H and β H to generate a dynamic adaptability index DAI, and the formula based on is:

[0028]

[0029] The dynamic adaptability index DAI is used to reflect the resistance strength of the seismic isolation bearing to external temperature and humidity under the current temperature and humidity conditions, where ΔT is the difference between the current temperature and the standard temperature of 25 degrees, and ΔH is the difference between the current humidity and the standard humidity of 30%.

[0030] Furthermore, perform a correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI, and the formula based on is:

[0031]

[0032] Among them, k is the environmental sensitivity weight coefficient, and its value range is [0.29, 26.48]; θ is the environmental adaptability threshold, and its value range is [5.13, 6.25]. The qualified confidence index NQCI is used to reflect the shock absorption performance of the isolation bearing under the current conditions. When NQCI ≥ 0.7, it means that the isolation bearing is qualified under the current humidity and temperature; when NQCI < 0.7, it means that the isolation bearing is unqualified under the current humidity and temperature.

[0033] The present invention also provides a seismic isolation and vibration reduction bearing design system based on the seismic reduction rate of a building structure, which is used to execute the seismic isolation and vibration reduction bearing design method based on the seismic reduction rate of a building structure, and includes:

[0034] A vibration data acquisition module, which is used to collect the vibration data of the isolation bearing when the isolation bearing is operating normally;

[0035] A vibration data analysis module, which is used to perform a correlation analysis on the vibration data to generate a seismic reduction rate;

[0036] An elastic modulus analysis module, which is used to install temperature and humidity sensors at four uniform positions of the isolation bearing, change the humidity value while keeping the temperature constant, and measure the elastic modulus of the isolation bearing, and change the temperature value while keeping the humidity constant, and measure the elastic modulus of the isolation bearing;

[0037] A sensitivity coefficient analysis module, which is used to perform a correlation analysis on the elastic modulus of the isolation bearing to generate a humidity sensitivity coefficient and a temperature sensitivity coefficient;

[0038] A dynamic adaptability index analysis module, which is used to perform a correlation analysis on the seismic reduction rate, the humidity sensitivity coefficient, and the temperature sensitivity coefficient to generate a dynamic adaptability index;

[0039] A comprehensive analysis module, which is used to perform a correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI and output whether the isolation bearing is qualified or not.

[0040] Compared with the prior art, the beneficial effects of the present invention are:

[0041] The present invention collects and analyzes the shock absorption rate of a basic seismic isolation bearing, quantitatively analyzes temperature and humidity at the same time, gradually detects the performance of its elastic modulus at different temperatures and humidities, and conducts a correlation analysis on the detected data to generate a humidity sensitivity coefficient reflecting the performance change caused by humidity change and a temperature sensitivity coefficient reflecting the performance change caused by temperature change. Then, a correlation analysis is conducted on the shock absorption rate, humidity sensitivity coefficient, and temperature sensitivity coefficient to generate a dynamic adaptability index reflecting the resistance strength of the seismic isolation bearing to external temperature and humidity under the current temperature and humidity conditions, thereby outputting a qualified confidence index reflecting the shock absorption performance goodness of the seismic isolation bearing under the current conditions, and outputting whether its shock absorption and seismic isolation performances are qualified. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0043] Figure 2 It is a schematic diagram of the overall system flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with specific embodiments.

[0045] It should be noted that unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meanings understood by those with ordinary skills in the field to which the present invention belongs. The "first", "second", and similar terms used in the present invention do not represent any order, quantity, or importance, but are only used to distinguish different components. The terms such as "including" or "comprising" mean that the elements or objects appearing before this term cover the elements or objects listed after this term and their equivalents, without excluding other elements or objects. The terms such as "connected" or "coupled" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The terms such as "upper", "lower", "left", "right", etc. are only used to represent relative positional relationships, and when the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0046] Embodiment:

[0047] Please refer to Figure 1 , the present invention provides a technical solution:

[0048] A design method for a seismic isolation and shock absorption bearing based on the shock absorption rate of a building structure, the specific steps include:

[0049] Step 1: During the engineering design of the seismic isolation bearing, that is, during the design process of the seismic isolation bearing, it is necessary to test whether the seismic isolation bearing is qualified. During the normal operation test of the seismic isolation bearing, vibration data of the seismic isolation bearing is collected, and the vibration data includes input vibration amplitude and output vibration amplitude;

[0050] Acceleration sensors are installed at the bottom and top of the seismic isolation support. The top acceleration sensor collects vibration data at the connection between the contact surface and the upper structure, and the bottom acceleration sensor collects vibration data between the seismic isolation support and the base. The vibration data is processed for noise and then the vibration amplitude is collected. The top acceleration sensor collects the output vibration amplitude A. output The acceleration sensor at the bottom collects the input vibration amplitude A input , where the vibration amplitude is collected at the maximum value.

[0051] Step 2: Perform correlation analysis on the vibration data to generate a damping rate, which is used to reflect the damping performance of the seismic isolation bearing;

[0052] Perform correlation analysis on vibration data to generate the damping rate D r , the formula based on is:

[0053]

[0054] The shock absorption rate is used to reflect the shock absorption performance of the seismic isolation bearing. The higher the shock absorption rate, the better the shock absorption effect.

[0055] Step 3: Install temperature and humidity sensors at four evenly spaced positions of the seismic isolation support, change the humidity value while keeping the temperature constant, and measure the elastic modulus of the seismic isolation support; change the temperature value while keeping the humidity constant, and measure the elastic modulus of the seismic isolation support. The elastic modulus is used to reflect the stiffness of the seismic isolation support material when subjected to stress;

[0056] When testing the elastic modulus, set the required specific temperature and humidity. After reaching the set temperature and humidity, maintain them for a certain period of time to ensure that they are fully adapted to the environmental conditions. Use a universal material testing machine to gradually apply tension or pressure, and record the deformation corresponding to each load. Under different loads, record stress and strain, use the stress-strain curve, calculate the value of the elastic modulus, repeat the above steps, change the temperature and humidity, and test the elastic modulus under multiple conditions.

[0057] The humidity change range is 11, 12, 13, ..., 90 percent points, the temperature change range is -50, -49, -48, ..., 49 degrees Celsius, the elastic modulus Used to reflect the stiffness exhibited by the seismic isolation bearing material when subjected to force at a humidity of H and a temperature of T. By using a quantitative control method, the elastic modulus of the seismic isolation bearing is collected under temperature change and humidity change conditions respectively, and this data is used to reflect the performance change of the seismic isolation bearing due to environmental changes.

[0058] Step 4: Conduct a correlation analysis on the elastic modulus of the seismic isolation bearing to generate a humidity sensitivity coefficient and a temperature sensitivity coefficient. The humidity sensitivity coefficient is used to reflect the change in the elastic modulus of the seismic isolation bearing caused by humidity change, and the temperature sensitivity coefficient is used to reflect the change in the elastic modulus of the seismic isolation bearing caused by temperature change;

[0059] The seismic isolation bearing is a complex composite material, but within an appropriate temperature and humidity range, the material behavior caused by the change in the microscopic structure of the material can be approximated as linear.

[0060] For the elastic modulus conduct a correlation analysis to generate a humidity sensitivity coefficient α T and β T , and the formula based on is:

[0061]

[0062] The humidity sensitivity coefficient α T and β T are used to reflect the change in the elastic modulus of the seismic isolation bearing caused by humidity change at a temperature of T;

[0063] At a temperature of T, regarding the humidity H as the independent variable, input and fit through Matlab software to generate the change curve of humidity H - elastic modulus , which is used to reflect the change rate of the elastic modulus at a specific humidity at a temperature of T . Since there are multiple sets of data, thus the values of α and β T closest to the change curve of humidity H - elastic modulus T can be output by fitting.

[0064] For the elastic modulus conduct a correlation analysis to generate a temperature sensitivity coefficient α H and β H , and the formula based on is:

[0065]

[0066] The temperature sensitivity coefficient α H and β H are used to reflect the change in the elastic modulus of the seismic isolation bearing caused by temperature change at a humidity of H;

[0067] At humidity H, taking temperature T as the independent variable, input and fit through Matlab software to generate the change curve of temperature T - elastic modulus to reflect the elastic modulus at a specific temperature at humidity H The rate of change. Since there are multiple sets of data, the α that is closest to the change curve of temperature T - elastic modulus can be output by fitting and the values of β H 、β H .

[0068] Step 5: Conduct a correlation analysis on the shock absorption rate, humidity sensitivity coefficient, and temperature sensitivity coefficient to generate the dynamic adaptability index DAI. The dynamic adaptability index DAI is used to reflect the resistance strength of the isolation bearing to external temperature and humidity under the current temperature and humidity conditions;

[0069] For the shock absorption rate D r 、humidity sensitivity coefficient α T 、β T and temperature sensitivity coefficient α h 、β h conduct a correlation analysis to generate the dynamic adaptability index DAI. The formula is as follows:

[0070]

[0071] The temperature sensitivity coefficients α h 、β h are used to reflect the change in the elastic modulus of the isolation bearing caused by temperature changes at humidity H; the humidity sensitivity coefficients α T 、β T are used to reflect the change in the elastic modulus of the isolation bearing caused by humidity changes at temperature T; by comprehensively analyzing the changes, that is, inputting all the data into the above formula, conducting a comprehensive mean analysis of the contribution degree of the elastic modulus performance changes caused by temperature and humidity changes, then interfering with the temperature difference and humidity difference, and combining with the shock absorption rate for fitting, the dynamic adaptability index DAI is generated. The greater the difference between ΔT and ΔH, the smaller the dynamic adaptability index DAI, indicating that the performance strength of the isolation bearing against environmental changes is lower. The lower the value of the shock absorption rate D r , the worse the shock absorption, and the smaller the generated dynamic adaptability index DAI, indicating that the performance strength of the isolation bearing against environmental changes is lower.

[0072] The dynamic adaptability index DAI is used to reflect the resistance strength of the seismic isolation bearing to external temperature and humidity under the current temperature and humidity conditions. Here, ΔT is the difference between the current temperature and the standard temperature of 25 °C, and ΔH is the difference between the current humidity and the standard humidity of 30%. Moreover, the larger the value of the dynamic adaptability index DAI, the higher the performance strength of the seismic isolation bearing against environmental changes.

[0073] Step 6: Conduct a correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI. The qualified confidence index NQCI is used to reflect the goodness of the seismic isolation performance of the seismic isolation bearing under the current conditions.

[0074] The formula for conducting a correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI is as follows:

[0075]

[0076] where k is the environmental sensitivity weight coefficient, and its value range is [0.29, 26.48]; θ is the environmental adaptability threshold, and its value range is [5.13, 6.25]. The environmental sensitivity weight coefficient is used to reflect the sensitivity degree of the performance change of the current bearing due to environmental changes. The environmental adaptability threshold forms a contrast with the dynamic adaptability index DAI. The qualified confidence index NQCI is used to reflect the goodness of the seismic isolation performance of the seismic isolation bearing under the current conditions. The value of the environmental sensitivity weight coefficient is based on the sensitivity of the performance change of the current bearing due to environmental changes determined by experiments. The environmental adaptability threshold is based on the environmental adaptability coefficient of the bearing when the temperature is 25 °C and the humidity is 30% determined by experiments.

[0077] Step 7: Determine whether the seismic isolation performance of the seismic isolation bearing is qualified under the current humidity and temperature based on the value of the qualified confidence index.

[0078] When NQCI ≥ 0.7, it indicates that the seismic isolation bearing is qualified under the current humidity and temperature; when NQCI < 0.7, it indicates that the seismic isolation bearing is unqualified under the current humidity and temperature.

[0079] Refer to Figure 2 , the present invention also provides a seismic isolation and vibration reduction bearing design system based on the seismic isolation and vibration reduction rate of a building structure, which is used to execute the seismic isolation and vibration reduction bearing design method based on the seismic isolation and vibration reduction rate of a building structure, including:

[0080] A vibration data acquisition module, which is used to collect the vibration data of the seismic isolation bearing when the seismic isolation bearing is operating normally.

[0081] A vibration data analysis module, which is used to conduct a correlation analysis on the vibration data to generate a seismic isolation and vibration reduction rate.

[0082] The elastic modulus analysis module is used to install temperature and humidity sensors at four uniform positions of the seismic isolation bearing, change the humidity value while keeping the temperature constant, and measure the elastic modulus of the seismic isolation bearing. Then, change the temperature value while keeping the humidity constant and measure the elastic modulus of the seismic isolation bearing.

[0083] The sensitivity coefficient analysis module is used to perform a correlation analysis on the elastic modulus of the seismic isolation bearing to generate a humidity sensitivity coefficient and a temperature sensitivity coefficient.

[0084] The dynamic adaptability index analysis module is used to perform a correlation analysis on the damping ratio, humidity sensitivity coefficient, and temperature sensitivity coefficient to generate a dynamic adaptability index.

[0085] The comprehensive analysis module is used to perform a correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI and output whether the seismic isolation bearing is qualified or not.

[0086] All the above formulas are dimensionless and take their numerical values for calculation. The formula is obtained by collecting a large amount of data and performing software simulation to get a formula that is closest to the actual situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation.

[0087] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0088] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0089] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application.

Claims

1. A seismic isolation bearing design method based on the seismic absorption rate of building structures, characterized in that: The specific steps include: S1. In the process of engineering design of seismic isolation bearings, during the normal operation test of the seismic isolation bearings, vibration data of the seismic isolation bearings are collected, wherein the vibration data includes input vibration amplitude and output vibration amplitude; S2. Perform correlation analysis on the vibration data to generate a damping rate, which is used to reflect the damping performance of the seismic isolation bearing; S3. Install temperature and humidity sensors on the seismic isolation support, change the humidity value while keeping the temperature constant, and measure the elastic modulus of the seismic isolation support. Change the temperature value while keeping the humidity constant, and measure the elastic modulus of the seismic isolation support. The elastic modulus is used to reflect the stiffness of the seismic isolation support material when it is subjected to stress. S4. Perform a correlation analysis on the elastic modulus of the seismic isolation bearing to generate a humidity sensitivity coefficient and a temperature sensitivity coefficient. The humidity sensitivity coefficient is used to reflect the change of the elastic modulus of the seismic isolation bearing caused by humidity change, and the temperature sensitivity coefficient is used to reflect the change of the elastic modulus of the seismic isolation bearing caused by temperature change; S5. Perform correlation analysis on the damping rate, humidity sensitivity coefficient and temperature sensitivity coefficient to generate a dynamic adaptability index DAI. The dynamic adaptability index DAI is used to reflect the resistance strength of the seismic isolation bearing to the external temperature and humidity under the current temperature and humidity conditions; S6. Perform correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI. The qualified confidence index NQCI is used to reflect the goodness of the seismic isolation bearing's damping performance under current conditions. S7. Based on the numerical value of the qualified confidence index, determine whether the shock-absorbing performance of the seismic isolation bearing is qualified under the current humidity and temperature.

2. The design method of seismic isolation bearing based on the seismic absorption rate of building structure according to claim 1 is characterized in that: Acceleration sensors are installed at the bottom and top of the seismic isolation support. The top acceleration sensor collects vibration data at the connection between the contact surface and the upper structure, and the bottom acceleration sensor collects vibration data between the seismic isolation support and the base. The vibration data is processed for noise and then the vibration amplitude is collected. The top acceleration sensor collects the output vibration amplitude A. output The acceleration sensor at the bottom collects the input vibration amplitude A input .

3. The design method of seismic isolation bearing based on the seismic absorption rate of building structure according to claim 2 is characterized in that: Perform correlation analysis on vibration data to generate the damping rate D r , the formula based on is: The shock absorption rate is used to reflect the shock absorption performance of the seismic isolation bearing.

4. The design method of seismic isolation bearing based on the seismic absorption rate of building structure according to claim 3 is characterized in that: In S3, the humidity change range is 11, 12, 13, ..., 90 percent points, the temperature change range is -50, -49, -48, ..., 49 degrees Celsius, and the elastic modulus is Used to reflect the stiffness of the seismic isolation bearing material when subjected to stress when the humidity is H and the temperature is T.

5. The design method of seismic isolation bearing based on the seismic absorption rate of building structure according to claim 4 is characterized in that: Modulus of elasticity Perform correlation analysis to generate humidity sensitivity coefficient α T , β T , the formula based on is: Humidity sensitivity coefficient α T , β T Used to reflect the change in elastic modulus of the seismic isolation bearing caused by humidity changes at temperature T; Modulus of elasticity Perform correlation analysis to generate the temperature sensitivity coefficient α H , β H , the formula based on is: Temperature sensitivity coefficient α H , β H Used to reflect the change of elastic modulus of seismic isolation bearing caused by temperature change at humidity H; Enter the above formula through Matlab software The data is fitted to generate the humidity sensitivity coefficient α T , β T and the temperature sensitivity coefficient α H , β H .

6. The design method of seismic isolation bearing based on the seismic absorption rate of building structure according to claim 5 is characterized in that: Shock absorption rate D r 、Humidity sensitivity coefficient α T , β T and the temperature sensitivity coefficient α H , β H Correlation analysis is performed to generate the dynamic adaptability index DAI, based on the formula: The dynamic adaptability index DAI is used to reflect the resistance of the seismic isolation bearing to the external temperature and humidity under the current temperature and humidity conditions, where ΔT is the difference between the current temperature and the standard temperature of 25 degrees, and ΔH is the difference between the current humidity and the standard humidity of 30%.

7. The design method of seismic isolation bearing based on the seismic absorption rate of building structure according to claim 6 is characterized in that: The dynamic adaptability index DAI and the environmental adaptability threshold θ are correlated to generate the qualified confidence index NQCI, based on the following formula: Among them, k is the environmental sensitivity weight coefficient, and its value range is [0.29, 26.48]. θ is the environmental adaptability threshold, and its value range is [5.13, 6.25]. The qualified confidence index NQCI is used to reflect the goodness of the seismic isolation performance of the isolation bearing under the current conditions. When NQCI ≥ 0.7, it means that the isolation bearing is qualified under the current humidity and temperature. When NQCI < 0.7, it means that the isolation bearing is unqualified under the current humidity and temperature.

8. A seismic isolation bearing design system based on the seismic absorption rate of a building structure, used to execute the seismic isolation bearing design method based on the seismic absorption rate of a building structure as claimed in claim 1, characterized in that: include: A vibration data collection module is used to collect vibration data of the seismic isolation bearing when the seismic isolation bearing is operating normally; A vibration data analysis module is used to perform correlation analysis on vibration data and generate a vibration reduction rate; The elastic modulus analysis module is used to install temperature and humidity sensors at four uniform positions of the seismic isolation support, change the humidity value while keeping the temperature constant, and measure the elastic modulus of the seismic isolation support; change the temperature value while keeping the humidity constant, and measure the elastic modulus of the seismic isolation support; The sensitivity coefficient analysis module is used to perform correlation analysis on the elastic modulus of the seismic isolation bearing and generate the humidity sensitivity coefficient and the temperature sensitivity coefficient; Dynamic adaptability index analysis module, used to perform correlation analysis on shock absorption rate, humidity sensitivity coefficient and temperature sensitivity coefficient to generate dynamic adaptability index; The comprehensive analysis module is used to perform correlation analysis on the dynamic adaptability index DAI and the environmental adaptability threshold θ, generate the qualified confidence index NQCI and output whether the seismic isolation bearing is qualified or not.

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