Method for evaluating functional loss of urban medical buildings in combination with site characteristics of seismic belt

Abstract

This invention relates to the field of earthquake loss assessment technology and discloses a method for assessing the functional loss of urban medical buildings that incorporates site characteristics of seismic zones. The method obtains seismic parameters for the target area, constructs an earthquake occurrence model based on the truncated G-R formula, and generates several simulated earthquake events using stochastic simulation. Based on the seismic design code response spectrum of the site where the medical building is located, natural seismic waves with similar spectral characteristics are selected from the earthquake database. The theoretical peak ground acceleration (PGA) at the medical building is calculated based on the simulated earthquake events, and the PGA is used to modulate the amplitude of the natural seismic waves to obtain the acceleration time history of the input seismic wave corresponding to each simulated earthquake event. The medical building is systematically divided, and a probabilistic seismic demand model and a probabilistic seismic vulnerability model are constructed. Combining repair costs and component importance coefficients, the overall functional loss assessment result of the medical building system is obtained. This invention improves the accuracy of the assessment results.

Description

Technical Field

[0001] This invention relates to the field of earthquake loss assessment technology, specifically to a method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of earthquake zones, as well as a computer terminal and readable storage medium for applying this method. Background Technology

[0002] As core hubs for post-earthquake emergency response, the ability of urban medical buildings to maintain their functionality after an earthquake directly impacts a city's seismic resilience. Therefore, accurate functional loss assessments of medical buildings are crucial for enhancing a city's disaster prevention and mitigation capabilities.

[0003] Existing technologies for assessing seismic functional loss in medical buildings typically suffer from the following shortcomings: (1) In selecting seismic motion parameters, existing assessment methods often rely too heavily on a single indicator. Traditional methods often use seismic intensity or peak ground acceleration (PGA) as the sole criterion for measuring seismic strength. However, relevant studies (such as the research by Wang Shaoqing et al.) indicate that the non-stationary characteristics of seismic motion (such as spectral characteristics and duration effects) have a significant impact on the seismic response of soil sites. Relying solely on single parameters such as PGA ignores the spectral differences and duration characteristics of different seismic waves, which can lead to significant deviations in simulating the seismic response of soil sites and fail to accurately reflect the destructive effects of earthquakes on buildings. (2) In terms of the simulation of seismic events and regional adaptability, existing technologies lack consideration for the site characteristics of specific seismic zones. Many assessment methods use general seismic attenuation models or standardized design response spectra, failing to combine them with the specific site characteristics of the target area for targeted analysis. This approach ignores the differences in seismic geological environments in different regions, resulting in significant deviations between the generated simulated seismic events and the actual situation, and failing to meet the needs for accurate assessment of specific urban areas. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this invention provides a method for assessing the functional loss of urban medical buildings that incorporates the site characteristics of seismic zones. This method can integrate the site characteristics of specific seismic zones, accurately simulate seismic motion input through multiple parameters, and perform differentiated and weighted quantitative analysis on various components inside the medical building, thereby improving the accuracy of the assessment results.

[0005] To achieve the above objectives, the present invention provides the following technical solution: This invention discloses a method for assessing the functional loss of urban medical buildings that incorporates site characteristics of earthquake zones, comprising: S1. Use a stochastic simulation method to generate several simulated earthquake events in the target area. Each simulated earthquake event includes earthquake location and magnitude information. S2. Based on the seismic design code response spectrum of the site where the medical building system is located, screen natural seismic waves with similar spectral characteristics from the seismic database; S3. Calculate the theoretical peak ground acceleration at the medical building system based on simulated earthquake events, use the theoretical peak ground acceleration to modulate the amplitude of natural earthquake waves, obtain the earthquake wave acceleration time history corresponding to each simulated earthquake event, determine the corresponding ground acceleration based on the earthquake wave acceleration time history, and form the ground motion intensity parameter by the peak ground acceleration and the ground acceleration. S4. Divide the medical building system into multiple components and construct a probabilistic seismic demand model. This model is used to quantify the correlation between ground motion intensity parameters and engineering demand parameters. Input the ground motion intensity parameters into the probabilistic seismic demand model to obtain the engineering demand parameters. S5. Construct a probabilistic seismic vulnerability model, calculate the probability that a component will reach or exceed a certain damage limit state through the probabilistic seismic vulnerability model, and then calculate the probability of the component under different damage limit states. S6. Calculate the functional loss ratio of a component by combining the probability of the component under a specific damage limit state with the repair cost. Combine the functional loss ratio of the component with the importance coefficient to obtain the overall functional loss assessment result of the medical building system.

[0006] As a further improvement to the above scheme, step S1 specifically includes: Obtain the earthquake-occurring area, truncated GR formula parameters, and location of the medical building system in the target area; Set the number of simulated earthquake events N, and use the Monte Carlo method to randomly generate N simulated earthquake events including earthquake location and magnitude; wherein, the earthquake location and magnitude data are used to calculate the theoretical peak ground acceleration in step S3.

[0007] As a further improvement to the above scheme, step S3 specifically includes: Using the ground motion parameter attenuation model, the theoretical peak ground acceleration PGA0 at the medical building system is calculated based on the magnitude and epicentral distance of each simulated earthquake event. For each simulated earthquake event, a natural earthquake wave selected in step S2 is randomly matched, the original peak ground acceleration PGA1 of the natural earthquake wave is obtained, and all acceleration time histories of the natural earthquake wave are multiplied by the coefficient PGA0 / PGA1 to obtain the earthquake wave acceleration time histories corresponding to the simulated earthquake event. Based on the seismic wave acceleration time history, the corresponding ground acceleration SA is calculated using the Duhamel integral.

[0008] As a further improvement to the above scheme, step S4 specifically includes: Medical building systems are further divided into structural components and non-structural components; The formula is ln(S) D The probabilistic earthquake demand model is given by S = a + b·ln(IM); where S D Let be the conditional mean of the engineering demand parameters under a given seismic ground motion intensity IM, and let a and b be the regression parameters. The uncertainty of the probabilistic seismic demand model is expressed using a log-normal distribution, and its logarithmic standard deviation is expressed as: ; For structural components, the theoretical peak ground acceleration PGA0 of the site where the medical building system is located is used as the ground motion intensity parameter, and the inter-story drift angle IDR is used as the engineering requirement parameter to characterize the deformation response of the structural components; for non-structural components, the seismic acceleration SA is used as the ground motion intensity parameter, and the floor acceleration PFA is used as the engineering requirement parameter to characterize the vibration response of the non-structural components.

[0009] As a further improvement to the above scheme, in step S5, the calculation formula for the probabilistic seismic vulnerability model is as follows:

[0010] In the formula, This represents the probability that a component reaches or exceeds a certain damage limit state under a given seismic intensity IM, i.e., the component is in the i-th level damage limit state. The probability of exceeding; This represents the actual damage state of the component. The logarithm of the component's capability; The median value of the component's capacity; This is the cumulative distribution function of the standard normal distribution.

[0011] The probability of a component reaching different damage limit states is as follows:

[0012] In the formula, Let denot be the probability of a component reaching the i-th level of damage limit state under a given seismic intensity IM.

[0013] As a further improvement to the above scheme, in step S6, the overall functional loss assessment results of the medical building system are... The calculation formula is:

[0014] In the formula, N is the number of component types classified from the medical building system; For the first The functional loss ratio of the components; For the first The importance coefficient of each component; the formula for calculating the function loss ratio of each component is:

[0015] In the formula, The total number of damage limit state levels; For the component to be in the first The repair cost required to reach the ultimate damage level.

[0016] As a further improvement to the above scheme, the importance coefficient of the components can be obtained using the Delphi method or the analytic hierarchy process. ω .

[0017] As a further improvement to the above scheme, the evaluation method also includes: S7. Based on the overall functional loss ratio of the medical building system and the functional loss ratio of each component obtained in step S6, output the component-level vulnerability ranking and the system-level functional loss value, and identify the vulnerable key components in the medical building system.

[0018] The present invention also discloses a computer terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for assessing the functional loss of urban medical buildings in combination with the site characteristics of seismic zones as described above.

[0019] The present invention also discloses a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones as described above.

[0020] Compared with the prior art, the beneficial effects of the present invention are: 1. The functional loss assessment method for urban medical buildings disclosed in this invention, which incorporates site characteristics of seismic zones, utilizes a region-specific truncated GR formula. This method allows for over 10,000 Monte Carlo simulations of random earthquake events, resulting in more realistic and reliable earthquake simulations. Furthermore, it constructs a ground motion parameter attenuation model specific to the site and selects and modulates multiple similar seismic waves consistent with the region based on the site and seismic design specifications. Additionally, this method is adaptable to different site types, overcoming the "one-size-fits-all" problem of traditional methods and demonstrating greater regional adaptability.

[0021] 2. This invention subdivides the medical system into structural components and non-structural components, and integrates peak ground acceleration, ground acceleration, inter-floor displacement angle, and floor acceleration for correlation analysis. This differentiation mechanism can accurately identify the damage mechanisms of different components (e.g., structural components are sensitive to displacement, while non-structural components are sensitive to acceleration), avoiding misjudgments caused by single-parameter evaluation, thereby significantly improving the accuracy of functional loss assessment.

[0022] 3. This invention, by calculating the weighted functional loss ratio of components, can not only derive the overall system-level functional loss value of a medical building, but also output a component-level vulnerability ranking. This result can intuitively reflect which key components (such as the power supply system and key medical equipment) are the weak links of the system, thus providing direct data support and decision-making basis for prioritizing the seismic reinforcement of medical buildings, and has high engineering practical value.

[0023] 4. By constructing a complete technical chain that includes earthquake event simulation, medical system damage analysis, and vulnerability assessment, this invention can automate the complex process from data input to report output, thereby improving the efficiency of assessment work. Attached Figure Description

[0024] Figure 1 This is a flowchart of the method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of earthquake zones, as described in Embodiment 1 of the present invention.

[0025] Figure 2 This is a schematic diagram of the bottom plan view and the three-dimensional model of the medical model used in the case analysis of Embodiment 1 of the present invention.

[0026] Figure 3 This is a schematic diagram illustrating the relationship between epicentral distance and magnitude in an earthquake event in Embodiment 1 of the present invention.

[0027] Figure 4 This is a schematic diagram of the distribution of seismic events in the seismic zone in Embodiment 1 of the present invention.

[0028] Figure 5 This is a schematic diagram of the probability distribution of epicentral distance in an earthquake event in Embodiment 1 of the present invention.

[0029] Figure 6 This is a schematic diagram of the magnitude probability density of an earthquake event in Embodiment 1 of the present invention.

[0030] Figure 7 This is a schematic diagram showing the division between structural and non-structural components in the medical building system of Embodiment 1 of the present invention.

[0031] Figure 8 This is a schematic diagram of the functional loss ratio of medical building system components in Embodiment 1 of the present invention.

[0032] Figure 9This is a schematic diagram of the weighted functional loss ratio of the components of the medical building system in Embodiment 1 of the present invention.

[0033] Figure 10 This is a schematic diagram of the probability distribution of overall functional loss ratio in a hospital in Embodiment 1 of the present invention.

[0034] Figure 11 This is a schematic diagram of the probability distribution of elevator function loss ratio in Embodiment 1 of the present invention.

[0035] Figure 12 This is a schematic diagram of the structure of the computer terminal in Embodiment 2 of the present invention. Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Example 1

[0038] Please see Figure 1 In this embodiment, a specific medical building is selected as the evaluation object. The building is a 10-story reinforced concrete frame structure with a seismic fortification intensity of 8 degrees, a basic design earthquake acceleration of 0.20g, and a design earthquake group of Group 1. The site category is Class II, the site characteristic period is 0.35s, and the frame seismic resistance level is Level 1.

[0039] Please see Figure 2 A method for assessing the functional loss of urban medical buildings that incorporates the site characteristics of earthquake zones, comprising steps S1 to S7.

[0040] S1. Use a stochastic simulation method to generate several simulated earthquake events in the target area. Each simulated earthquake event includes earthquake location and magnitude information.

[0041] Step S1 specifically includes: Obtain the earthquake-occurring area, truncated GR formula parameters, and location of the medical building system in the target area; Set the number of simulated earthquake events N, and use the Monte Carlo method to randomly generate N simulated earthquake events including earthquake location and magnitude; wherein, the earthquake location and magnitude data are used to calculate the theoretical peak ground acceleration in step S3.

[0042] Specifically, in this embodiment, the number of simulated earthquake events is set to N=10000. Based on historical earthquake data of the target area, the upper limit of magnitude is determined to be 8.5 and the lower limit to be 2.0. Using MATLAB or other mathematical software, Monte Carlo stochastic simulations are performed based on the truncated Gutenberg-Richter law. Each earthquake event output includes two key parameters: earthquake magnitude and epicentral distance.

[0043] At the same time, such as Figures 3-6 As shown, it can generate earthquake event distribution maps, scatter plots of the relationship between epicentral distance and magnitude, histograms of epicentral distance distribution, and histograms of magnitude probability distribution, to easily determine the reasonableness of the data.

[0044] S2. Based on the seismic design code response spectrum of the site where the medical building system is located, screen natural earthquake waves with similar spectral characteristics from the earthquake database.

[0045] Specifically, the target design response spectrum of the site can be calculated according to the methods specified in the "Seismic Design of Building Structures" based on the physical and mechanical properties of the soil layers at the research site. This embodiment is based on the PEER Pacific Strong Earthquake Database (or measured data from the China Earthquake Networks Center). Based on the Class II site characteristics and seismic design code response spectrum determined in step S1, 20 natural earthquake waves with similar spectral characteristics are selected. The obtained earthquake wave files must contain time series and acceleration time history data.

[0046] S3. Calculate the theoretical peak ground acceleration at the medical building system based on simulated earthquake events, use the theoretical peak ground acceleration to modulate the amplitude of natural earthquake waves, obtain the earthquake wave acceleration time history corresponding to each simulated earthquake event, determine the corresponding ground acceleration based on the earthquake wave acceleration time history, and form the ground motion intensity parameter by combining the peak ground acceleration and the ground acceleration.

[0047] Step S3 specifically includes: Using the ground motion parameter attenuation model, the theoretical peak ground acceleration PGA0 at the medical building system is calculated based on the magnitude and epicentral distance of each simulated earthquake event. The formula for the seismic motion parameter attenuation model is:

[0048] In the formula, R This refers to the distance between the location of the medical system and the epicenter. M Magnitude; A, B, C, D and E The model attenuation coefficient is obtained by regression from measured data (China Seismic Ground Motion Parameter Zoning Map, GB18306-2015).

[0049] For each simulated earthquake event, a natural earthquake wave selected in step S2 is randomly matched, the original peak ground acceleration PGA1 of the natural earthquake wave is obtained, and all acceleration time histories of the natural earthquake wave are multiplied by the coefficient PGA0 / PGA1 to obtain the earthquake wave acceleration time histories corresponding to the simulated earthquake event. Based on the seismic wave acceleration time history, the corresponding ground acceleration SA is calculated using the Duhamel integral.

[0050] Through the above steps, this method not only considers the randomness of seismic waves (by randomly matching natural waves), but also strictly follows the seismic motion attenuation law of a specific region (by PGA0 constraint), thus solving the problems of single seismic motion input and lack of regional site adaptability in traditional methods.

[0051] S4. Divide the medical building system into multiple components and construct a probabilistic seismic demand model. This model is used to quantify the correlation between ground motion intensity parameters and engineering demand parameters. Input the ground motion intensity parameters into the probabilistic seismic demand model to obtain the engineering demand parameters.

[0052] Step S4 specifically includes: Medical building systems are further divided into structural components and non-structural components; Please see Figure 7 Based on the functional characteristics and compositional logic of the medical system, the system is subdivided into 37 key components (such as columns, beams, floor slabs, medical equipment, pipelines, and ceilings). Structural components include: structural systems, staircases, floor slabs, main power distribution station, infill walls, operating rooms, ICU wards, fire protection pipelines, general wards, infectious disease wards, doors, pump stations, pharmacies, disinfection pools, X-ray rooms, windows, laboratories, MRI rooms, ultrasound rooms, and pathology / virology centers. Non-structural components include: elevators, emergency circuits, medical gas pipelines, water supply pipelines, floor distribution panels, ICU ward air purification systems, ceilings, lighting circuits, drainage pipelines, medical wastewater pipelines, cable racks, network cables, heating radiators, central air conditioning, fans, and air conditioning pipelines.

[0053] The formula is ln(S) D The probabilistic earthquake demand model is given by S = a + b·ln(IM); where S D Let be the conditional mean of the engineering demand parameters under a given seismic ground motion intensity IM, and let a and b be the regression parameters. The uncertainty of the probabilistic seismic demand model is expressed using a log-normal distribution, and its logarithmic standard deviation is expressed as: ; For structural components, the theoretical peak ground acceleration PGA0 of the site where the medical building system is located is used as the ground motion intensity parameter, and the inter-story drift angle IDR is used as the engineering requirement parameter to characterize the deformation response of the structural components; for non-structural components, the seismic acceleration SA is used as the ground motion intensity parameter, and the floor acceleration PFA is used as the engineering requirement parameter to characterize the vibration response of the non-structural components.

[0054] S5. Construct a probabilistic seismic vulnerability model, calculate the probability that a component will reach or exceed a certain damage limit state through the probabilistic seismic vulnerability model, and then calculate the probability of the component under different damage limit states.

[0055] In step S5, the calculation formula for the probabilistic seismic vulnerability model is as follows:

[0056] In the formula, This represents the probability that a component reaches or exceeds a certain damage limit state under a given seismic intensity IM, i.e., the component is in the i-th level damage limit state. The probability of exceeding; This represents the actual damage state of the component. The logarithm of the component's capability is the standard deviation. The median value of the component's capacity. and Data sourced from the FEMA Hazus Earthquake Model; This is the cumulative distribution function of the standard normal distribution.

[0057] The probability of a component reaching different damage limit states is as follows:

[0058] In the formula, Let denot be the probability of a component reaching the i-th level of damage limit state under a given seismic intensity IM.

[0059] S6. Calculate the functional loss ratio of a component by combining the probability of the component under a specific damage limit state with the repair cost. Combine the functional loss ratio of the component with the importance coefficient to obtain the overall functional loss assessment result of the medical building system.

[0060] In step S6, the overall functional loss assessment results of the medical building system are obtained. The calculation formula is:

[0061] In the formula, N is the number of component types divided from the medical building system. In this embodiment, N=37. For the first The functional loss ratio of the components; For the first The importance coefficient of each component; the formula for calculating the function loss ratio of each component is:

[0062] In the formula, The total number of damage limit state levels; For the component to be in the first The repair cost required to reach the ultimate damage level.

[0063] In some embodiments, the importance coefficient of a component can be obtained using the Delphi method or the Analytic Hierarchy Process (AHP). ω .

[0064] S7. Based on the overall functional loss ratio of the medical building system and the functional loss ratio of each component obtained in step S6, output the component-level vulnerability ranking and the system-level functional loss value, and identify the vulnerable key components in the medical building system.

[0065] For example, by analyzing and outputting the ranking of vulnerable components through MATLAB (such as identifying "component 5" as the most vulnerable component), the priority of seismic reinforcement can be directly guided, realizing fully automated analysis from data input to report output.

[0066] In this embodiment, based on the overall functional loss ratio of the hospital and the functional loss ratio of each component obtained in step S6, a function can also be generated simultaneously. Figures 8-11 Schematic diagram of functional loss ratio of medical building system components, schematic diagram of weighted functional loss ratio of medical building system components, schematic diagram of probability distribution of overall functional loss ratio of hospital, and schematic diagram of probability distribution of functional loss ratio of elevator.

[0067] Example 2

[0068] This embodiment provides a computer terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones as described in Embodiment 1.

[0069] like Figure 12 As shown, the computer terminal provided in this embodiment includes: at least one processor 101, and a memory 102 connected to at least one processor 101. This embodiment does not limit the specific connection medium between the processor 101 and the memory 102. Figure 12 The example shown is the connection between processor 101 and memory 102 via bus 100. Bus 100 is... Figure 12The connections between other components are shown in bold lines and are for illustrative purposes only, not as limiting information. Bus 100 can be divided into address bus, data bus, control bus, etc., for ease of representation. Figure 12 The bus is represented by a single thick line, but this does not indicate that there is only one bus or one type of bus. Alternatively, the processor 101 may also be called a controller; there is no restriction on the name.

[0070] In this embodiment, the memory 102 stores instructions that can be executed by at least one processor 101. The at least one processor 101 can execute the aforementioned method by executing the instructions stored in the memory 102.

[0071] The processor 101 is the control center of the device. It can connect to various parts of the control device through various interfaces and lines. By running or executing instructions stored in memory 102 and calling data stored in memory 102, the processor can perform various functions and process data, thereby monitoring the device as a whole.

[0072] In one possible design, processor 101 may include one or more processing units. Processor 101 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into processor 101. In some embodiments, processor 101 and memory 102 may be implemented on the same chip; in some embodiments, they may also be implemented on separate chips.

[0073] Processor 101 can be a general-purpose processor, such as a central processing unit (CPU), digital signal processor, application-specific integrated circuit, field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the urban medical building functional loss assessment method combined with the site characteristics of seismic zones disclosed in Embodiment 1 can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in processor 101.

[0074] Memory 102, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. Memory 102 may include at least one type of storage medium, such as flash memory, hard disk, multimedia card, card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), magnetic storage, magnetic disk, optical disk, etc. Memory 102 can be any other medium capable of carrying or storing desired program code in the form of instructions or data structures that can be accessed by a computer, but is not limited thereto. In this embodiment, memory 102 can also be a circuit or any other device capable of implementing storage functions for storing program instructions and / or data.

[0075] By designing and programming the processor 101, the code corresponding to the urban medical building function loss assessment method combining seismic zone site characteristics described in the foregoing embodiments can be embedded into the chip, thereby enabling the chip to execute the code during runtime. Figure 1 The steps of the method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones are shown. How to design and program the processor 101 is a technique well-known to those skilled in the art and will not be described further here.

[0076] Example 3

[0077] This embodiment provides a computer-readable storage medium storing a computer program thereon. When the program is executed by a processor, it implements the steps of the method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones as described in Embodiment 1.

[0078] The computer-readable storage medium may include flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage medium may be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, smart memory card, secure digital card, flash memory card, etc., provided on the computer device. Of course, the storage medium may include both internal storage units and external storage devices of the computer device. In this embodiment, the memory is typically used to store the operating system and various application software installed on the computer device. In addition, the memory can also be used to temporarily store various types of data that have been output or will be output.

[0079] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, characterized in that, include: S1. Use a stochastic simulation method to generate several simulated earthquake events in the target area. Each simulated earthquake event includes earthquake location and magnitude information. S2. Based on the seismic design code response spectrum of the site where the medical building system is located, screen natural seismic waves with similar spectral characteristics from the seismic database; S3. Calculate the theoretical peak ground acceleration at the medical building system based on simulated earthquake events, use the theoretical peak ground acceleration to modulate the amplitude of natural earthquake waves, obtain the earthquake wave acceleration time history corresponding to each simulated earthquake event, determine the corresponding ground acceleration based on the earthquake wave acceleration time history, and form the ground motion intensity parameter by the peak ground acceleration and the ground acceleration. S4. Divide the medical building system into multiple components and construct a probabilistic seismic demand model. This model is used to quantify the correlation between ground motion intensity parameters and engineering demand parameters. Input the ground motion intensity parameters into the probabilistic seismic demand model to obtain the engineering demand parameters. S5. Construct a probabilistic seismic vulnerability model, calculate the probability that a component will reach or exceed a certain damage limit state through the probabilistic seismic vulnerability model, and then calculate the probability of the component under different damage limit states. S6. Calculate the functional loss ratio of a component by combining the probability of the component under a specific damage limit state with the repair cost. Combine the functional loss ratio of the component with the importance coefficient to obtain the overall functional loss assessment result of the medical building system.

2. The method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, as described in claim 1, is characterized in that... Step S1 specifically includes: Obtain the earthquake-occurring area, truncated GR formula parameters, and location of the medical building system in the target area; Set the number of simulated earthquake events N, and use the Monte Carlo method to randomly generate N simulated earthquake events including earthquake location and magnitude; wherein, the earthquake location and magnitude data are used to calculate the theoretical peak ground acceleration in step S3.

3. The method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, as described in claim 1, is characterized in that... Step S3 specifically includes: Using the ground motion parameter attenuation model, the theoretical peak ground acceleration PGA0 at the medical building system is calculated based on the magnitude and epicentral distance of each simulated earthquake event. For each simulated earthquake event, a natural earthquake wave selected in step S2 is randomly matched, the original peak ground acceleration PGA1 of the natural earthquake wave is obtained, and all acceleration time histories of the natural earthquake wave are multiplied by the coefficient PGA0 / PGA1 to obtain the earthquake wave acceleration time histories corresponding to the simulated earthquake event. Based on the seismic wave acceleration time history, the corresponding ground acceleration SA is calculated using the Duhamel integral.

4. The method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, as described in claim 1, is characterized in that... Step S4 specifically includes: Medical building systems are further divided into structural components and non-structural components; The formula is ln(S) D The probabilistic earthquake demand model is given by S = a + b·ln(IM); where S D Let be the conditional mean of the engineering demand parameters under a given seismic ground motion intensity IM, and let a and b be the regression parameters. The uncertainty of the probabilistic seismic demand model is expressed using a log-normal distribution, and its logarithmic standard deviation is expressed as: ; For structural components, the theoretical peak ground acceleration PGA0 of the site where the medical building system is located is used as the ground motion intensity parameter, and the inter-story drift angle IDR is used as the engineering requirement parameter to characterize the deformation response of the structural components; for non-structural components, the seismic acceleration SA is used as the ground motion intensity parameter, and the floor acceleration PFA is used as the engineering requirement parameter to characterize the vibration response of the non-structural components.

5. The method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, as described in claim 4, is characterized in that... In step S5, the calculation formula for the probabilistic seismic vulnerability model is as follows: In the formula, This represents the probability that a component reaches or exceeds a certain damage limit state under a given seismic intensity IM, i.e., the component is in the i-th level damage limit state. The probability of exceeding; This represents the actual damage state of the component. The logarithm of the component's capability; The median value of the component's capacity; The cumulative distribution function of the standard normal distribution; The probability of a component reaching different damage limit states is as follows: In the formula, Let denot be the probability of a component reaching the i-th level of damage limit state under a given seismic intensity IM.

6. The method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, as described in claim 5, is characterized in that... In step S6, the overall functional loss assessment results of the medical building system are obtained. The calculation formula is: In the formula, N is the number of component types classified from the medical building system; For the first The functional loss ratio of the components; For the first The importance coefficient of each component; the formula for calculating the function loss ratio of each component is: In the formula, The total number of damage limit state levels; For the component to be in the first The repair cost required to reach the ultimate damage level.

7. The method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, as described in claim 6, is characterized in that... The importance coefficient of a component can be obtained using the Delphi method or the analytic hierarchy process. ω .

8. The method for assessing the functional loss of urban medical buildings in conjunction with the site characteristics of seismic zones, as described in claim 6, is characterized in that... Also includes: S7. Based on the overall functional loss ratio of the medical building system and the functional loss ratio of each component obtained in step S6, output the component-level vulnerability ranking and the system-level functional loss value, and identify the vulnerable key components in the medical building system.

9. A computer terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for assessing the functional loss of urban medical buildings in combination with the site characteristics of seismic zones as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method for assessing the functional loss of urban medical buildings incorporating the site characteristics of seismic zones as described in any one of claims 1 to 8.

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