Shock absorption and isolation support design method and system based on shock absorption rate of building structure

Abstract

The invention provides a shock absorption and isolation support design method and system based on the shock absorption rate of a building structure, and relates to the technical field of building shock isolation supports. The shock absorption rate of a basic shock isolation support is collected and analyzed, meanwhile, temperature and humidity are quantitatively analyzed, and the performance of elasticity modulus of the shock isolation support at different temperatures and humidity is gradually detected; performing correlation analysis on the detected data to generate a humidity sensitivity coefficient for reflecting the performance change caused by the humidity change and a temperature sensitivity coefficient for reflecting the performance change caused by the temperature change, and performing correlation analysis on the damping rate, the humidity sensitivity coefficient and the temperature sensitivity coefficient; and generating a dynamic adaptability index for reflecting the resistance strength of the shock insulation support to the external temperature and humidity under the current temperature and humidity condition, thereby outputting a qualified confidence index for reflecting the shock absorption performance of the shock insulation support under the current condition, and outputting whether the shock absorption and isolation performance of the shock insulation support is qualified or not.

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 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;

[0023] Modulus of elasticity Perform correlation analysis to generate the temperature sensitivity coefficient α H , β H , the formula based on is:

[0024]

[0025] 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;

[0026] 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 .

[0027] Furthermore, the damping 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:

[0028]

[0029] The dynamic adaptability index DAI is used to reflect the resistance 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, a correlation analysis is performed on the dynamic adaptability index DAI and the environmental adaptability threshold θ to generate a qualified confidence index NQCI, based on the following formula:

[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 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.

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

[0034] A vibration data collection module is used to collect vibration data of the seismic isolation bearing when the seismic isolation bearing is operating normally;

[0035] A vibration data analysis module is used to perform correlation analysis on vibration data and generate a vibration reduction rate;

[0036] 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;

[0037] 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;

[0038] 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;

[0039] 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.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The present invention collects and analyzes the shock absorption rate of the basic seismic isolation bearing, and at the same time conducts quantitative analysis on the temperature and humidity, gradually detects the performance of its elastic modulus under different temperatures and humidities, and performs correlation analysis on the detected data to generate a humidity sensitivity coefficient for reflecting the performance changes caused by humidity changes and a temperature sensitivity coefficient for reflecting the performance changes caused by temperature changes, and performs correlation analysis on the shock absorption rate, humidity sensitivity coefficient and temperature sensitivity coefficient to generate a dynamic adaptability index for 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 for reflecting the goodness of the shock absorption performance of the seismic isolation bearing under current conditions, and outputting whether its shock absorption and seismic isolation performance 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

[0044] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is 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 be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0046] Example:

[0047] See also Figure 1 , the present invention provides a technical solution:

[0048] The design method of seismic isolation bearings based on the seismic absorption rate of building structures includes the following specific steps:

[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 It is used to reflect the stiffness of the seismic isolation bearing material under stress when the humidity is H and the temperature is T. The elastic modulus of the seismic isolation bearing under temperature and humidity changes is collected by quantitative control method. This data is used to reflect the performance changes of the seismic isolation bearing caused by environmental changes.

[0058] 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.

[0059] Seismic isolation bearings are complex composite materials, but within the appropriate temperature and humidity ranges, the material behavior caused by changes in the material's microstructure can be approximated as linear.

[0060] Modulus of elasticity Perform correlation analysis to generate humidity sensitivity coefficient α T , β T , the formula based on is:

[0061]

[0062] 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;

[0063] At temperature T, humidity H is regarded as an independent variable, and the humidity H-elastic modulus is generated by entering and fitting through Matlab software The change curve of Used to reflect the elastic modulus at a specific humidity at temperature T The rate of change of, because there are multiple sets of data, can be fitted to output the closest to the humidity H-elastic modulus The change curve of α T , β T The value of .

[0064] Modulus of elasticity Perform correlation analysis to generate the temperature sensitivity coefficient α H , β H , the formula based on is:

[0065]

[0066] 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;

[0067] When the humidity is H, the temperature T is regarded as an independent variable, and the temperature T-elastic modulus is generated by entering and fitting through Matlab software The change curve of Used to reflect the elastic modulus at a specific temperature and humidity H The rate of change, because there are multiple sets of data, can be fitted to output the closest temperature T-elastic modulus The change curve of α H , β H The value of .

[0068] 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.

[0069] 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:

[0070]

[0071] Temperature sensitivity coefficient α h , β h It is used to reflect the change of elastic modulus of seismic isolation bearing caused by temperature change at humidity H; humidity sensitivity coefficient α T , β T It is used to reflect the change of elastic modulus of seismic isolation bearing caused by humidity change at temperature T; by making an overall analysis of the change, that is, entering all data into the above formula, comprehensively analyzing the contribution of elastic modulus performance change caused by temperature and humidity changes, interfering with temperature difference and humidity difference, and fitting with damping rate, the dynamic adaptability index DAI is generated. The larger the difference between ΔT and ΔH, the smaller the dynamic adaptability index DAI, which means that the performance strength of seismic isolation bearing against environmental changes is lower, and the damping rate D r The lower the value, the worse the shock absorption, and the smaller the dynamic adaptability index DAI generated by fitting, which means that the performance strength of the seismic isolation bearing against environmental changes is lower.

[0072] 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%. The larger the value of the dynamic adaptability index DAI, the higher the performance strength of the seismic isolation bearing in resisting environmental changes.

[0073] 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.

[0074] 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:

[0075]

[0076] 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 environmental sensitivity weight coefficient is used to reflect the sensitivity of the performance changes of the current bearing to environmental changes. The environmental adaptability threshold is compared with the dynamic adaptability index DAI. The qualified confidence index NQCI is used to reflect the goodness of the shock absorption performance of the isolation bearing under current conditions. The value of the environmental sensitivity weight coefficient is based on the experimentally measured sensitivity of the current bearing to performance changes caused by environmental changes. The environmental adaptability threshold is based on the experimentally measured environmental adaptability coefficient of the bearing when the temperature is 25 degrees and the humidity is 30%.

[0077] 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.

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

[0079] Reference Figure 2 The present invention also provides a seismic isolation bearing design system based on the seismic absorption rate of the building structure, which is used to execute the seismic isolation bearing design method based on the seismic absorption rate of the building structure, comprising:

[0080] A vibration data collection module is used to collect vibration data of the seismic isolation bearing when the seismic isolation bearing is operating normally;

[0081] A vibration data analysis module is used to perform correlation analysis on vibration data and generate a 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 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;

[0083] 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;

[0084] 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;

[0085] 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.

[0086] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0087] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed 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, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0089] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present 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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