KR20200133505A - Method and apparatus for evaluating seismic safety of structure - Google Patents

Abstract

An embodiment of the present invention, a seismic safety evaluation method for evaluating seismic safety of a structure may comprise the steps of: obtaining an input including a first parameter for the earthquake vulnerability of the structure and a central earthquake strength of the structure; using the obtained input, obtaining a second parameter indicating a response of the structure and a third parameter indicating a strength of the structure in relation to the central earthquake strength; generating seismic data within a predetermined seismic motion level range by scaling the second parameter and the third parameter; and calculating a value representing seismic safety based on the generated seismic data.

Description

Seismic safety evaluation method and device of structure {METHOD AND APPARATUS FOR EVALUATING SEISMIC SAFETY OF STRUCTURE}

The present invention relates to a method and apparatus for evaluating the seismic safety of a structure.

When an earthquake occurs in structures such as bridges, tunnels, dams, and road facilities, maintenance activities are performed to check the safety of the structure for each management entity and determine whether or not it is continuously used. Such maintenance is carried out in the form of detailed inspection and detailed safety diagnosis, and it requires enormous budget, time and manpower. In this case, if the manager selectively performs the maintenance activities in consideration of the safety of the structure, more efficient management will be achieved.

To this end, an earthquake safety evaluation can be performed on the structure. Seismic Probabilistic Safety Assessment (SPSA) is a representative seismic safety assessment method. In the case of the conventional probabilistic seismic safety evaluation, only the randomness and uncertainty of the structure are considered integrating, and samples of the response (R) and the strength (C) of the device must be extracted for every seismic motion intensity. Accordingly, it is difficult to consider each of the randomness and the uncertainty individually, and it takes a little time for sample extraction.

Therefore, there is a need for a seismic safety evaluation method that sufficiently considers randomness and uncertainty and efficiently extracts samples.

Korean Patent Publication No. 10-2016-0116400 (published on October 10, 2016)

The problem to be solved by the present invention is to provide a seismic safety evaluation method and apparatus for more accurately and effectively evaluating seismic safety by considering each of the randomness and uncertainty of a structure and efficiently extracting a sample.

However, the problems to be solved by the present invention are not limited as mentioned above, and are not mentioned, but include objects that can be clearly understood by those of ordinary skill in the art from the following description. can do.

An earthquake safety evaluation method for evaluating seismic safety for a structure according to an embodiment of the present invention includes the steps of obtaining an input including a first parameter for the earthquake vulnerability of the structure and a central earthquake strength of the structure, and , Using the obtained input, obtaining a second parameter indicating a response of the structure and a third parameter indicating a strength of the structure in relation to the central earthquake strength, and the second parameter and the third parameter And generating seismic data within a predetermined seismic motion level range by scaling, and calculating a value representing seismic safety based on the generated seismic data.

The seismic safety evaluation apparatus for evaluating seismic safety for a structure according to an embodiment of the present invention includes an input acquisition unit that obtains an input including a first parameter for the earthquake vulnerability of the structure and a central earthquake strength of the structure. And, a parameter obtaining unit for obtaining a second parameter indicating a response of the structure and a third parameter indicating a strength of the structure in relation to the central earthquake strength, using the obtained input, and the second parameter and the A data generator configured to generate earthquake data within a predetermined seismic motion level range by scaling a third parameter, and a safety calculator configured to calculate a value representing earthquake safety based on the generated earthquake data.

The seismic safety evaluation method and apparatus according to an embodiment of the present invention can perform seismic safety evaluation more accurately and quickly by efficiently extracting samples by considering randomness and uncertainty of a structure, respectively.

However, the effects obtainable in the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those of ordinary skill in the art from the following description. I will be able to.

1 is a functional block diagram of an earthquake safety evaluation apparatus according to an embodiment of the present invention.
2 shows the flow of each step of the seismic safety evaluation method according to an embodiment of the present invention.
3 is a diagram for explaining scaling of an earthquake safety evaluation method according to an embodiment of the present invention.
4 shows an example of an earthquake vulnerability curve obtained by the seismic safety evaluation method according to an embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various forms, and only these embodiments make the disclosure of the present invention complete, and those skilled in the art to which the present invention pertains. It is provided to fully inform the person of the scope of the invention, and the scope of the invention is only defined by the claims.

In describing the embodiments of the present invention, detailed descriptions of known functions or configurations will be omitted except when actually necessary in describing the embodiments of the present invention. In addition, terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

Since the present invention can make various changes and include various embodiments, specific embodiments will be illustrated in the drawings and described in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, and should be understood as including all changes, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms including an ordinal number such as first and second may be used to describe various elements, but the corresponding elements are not limited by these terms. These terms are only used for the purpose of distinguishing one component from another.

When a component is referred to as being'connected' or'connected' to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. Should be.

1 is a functional block diagram of an earthquake safety evaluation apparatus according to an embodiment of the present invention. Used below'… A term such as'negative' means a unit that processes at least one function or operation, which may be implemented by hardware or software, or a combination of hardware and software.

Referring to FIG. 1, the seismic safety evaluation apparatus 100 includes an input acquisition unit 110, a parameter acquisition unit 120, a data generation unit 130, and a safety calculation unit 140. The input acquisition unit 110 may be implemented by a computing device including a microprocessor, which is also used in the parameter parameter acquisition unit 120, data generation unit 130, and safety calculation unit 140 to be described later. same.

The input acquisition unit 110 may acquire an input including a first parameter for seismic vulnerability of the structure and median seismic capacities of components. The structure may be a nuclear facility including a plurality of devices, for example. The plurality of devices may include a variety of devices included within a nuclear facility.

The first parameter may be a parameter related to randomness and uncertainty of the structure. For example, the first parameter may include a complex parameter β _{c in} which the randomness and uncertainty of the earthquake vulnerability of the structure are reflected. The composite parameter may be a value obtained by a log normal distribution integrating randomness and uncertainty.

As another example, the first parameter may include a randomness parameter (β _r ) representing the randomness standard deviation of the seismic vulnerability of the structure and an uncertainty parameter (β _u ) representing the uncertainty standard deviation of the seismic vulnerability of the structure. The randomness parameter β _r may be a value obtained by a lognormal distribution of randomness, and the uncertainty parameter β _u may be a value obtained by a lognormal distribution of uncertainty.

The central seismic strength (A _m ) is a seismic strength value at which the probability of destruction of the structure is 50%, and may be a known value for the structure. On the other hand, in the present invention, it is assumed that the median response Rm of the structure and the median median Cm of the response of the structure are the same in the median seismic strength, and values of various parameters to be described later can be obtained.

In some cases, the input acquisition unit 110 may further acquire fault tree (FT) data or a parameter indicating a dependency relationship between a plurality of devices included in the structure. In this case, a parameter indicating a response of a structure to be described later or a parameter indicating a strength of a structure may be obtained based on consideration of the characteristics of the structure set by FT data and the dependency relationship between a plurality of devices. On the other hand, in relation to the fault tree (FT) data, a detailed description will be omitted since it is easy for a person skilled in the art.

The input acquisition unit 110 may be implemented through an input device such as a classic keyboard or a mouse, or a button that can be manipulated through a physical operation of a user, or integrated with a touch screen type image output device. It may be implemented through a touch sensing panel composed of. Accordingly, the user's action on the input acquisition unit 110 may refer to an action of physically manipulating a button or a touch pad included in the input acquisition unit 110.

The input acquisition unit 110 may be an output device such as a liquid crystal display (LCD) or an organic light emitting diode (OLED), and is integrated with the touch sensing panel functioning as the input acquisition unit 110 as described above. It can be implemented with a configured touch screen type image output device.

The parameter acquisition unit 120 may acquire a second parameter indicating a response of the structure and a third parameter indicating a strength of the structure in relation to the central earthquake strength.

If the first parameter is a complex parameter reflecting randomness and uncertainty, the parameter acquisition unit 120 may obtain a parameter for response (β _cr ) and a parameter for history (β _cu ) using the complex parameter. . The parameter acquisition unit 120 calculates the response of the structure using the parameter for the response and the parameter for the proof strength, determines the second parameter indicating the response, and calculates the strength of the structure to determine the third parameter indicating the proof strength. I can.

If the first parameter includes a randomness parameter and an uncertainty parameter, the parameter acquisition unit 120 uses individual parameters, and the randomness parameter for the response (β _Rr ) and the uncertainty parameter (β _Ru ) and the randomness for the history. The parameter β _Cr and the uncertainty parameter β _Cu can be obtained.

In more detail, the parameter acquisition unit 120 may acquire two parameters in consideration of each of the history and response for each randomness parameter and an uncertainty parameter by using the acquired first parameter.

For example, the parameter acquisition unit 120 acquires a 1-1 parameter (β _Rr ) representing randomness for a response and a 1-2 parameter (β _Cr ) representing randomness to a history by using the randomness parameter. can do. In addition, the parameter acquisition unit 120 may acquire a 1-3 parameter (β _Ru ) representing uncertainty about a response and a 1-4 parameter (β _Cu ) representing uncertainty about a strength by using the uncertainty parameter. have.

In this case, the parameter acquisition unit 120 may calculate a response and a history based on the 1-1 parameter, the 1-2 parameter, the 1-3 parameter, and the 1-4 parameter. The parameter obtaining unit 120 may determine the calculated response as a second parameter and determine the calculated internal force as a third parameter. A more detailed description of this will be described later with reference to FIG. 2.

The data generator 130 may generate seismic data within a predetermined seismic motion level range by scaling the second parameter and the third parameter. Specifically, the data generator 130 may generate seismic data by performing sampling for the second parameter and the third parameter based on the central seismic strength, and then scaling (or linear scaling) at predetermined seismic level intervals. The seismic data generated thereby may include, for example, an earthquake vulnerability curve within a range of a predetermined seismic motion level.

The safety calculation unit 140 may calculate a value indicating earthquake safety based on the generated earthquake data. For example, the seismic data generated by the safety calculation unit 140 is a value of a response and proof strength of a sample scaled at each seismic motion level. Based on the response and proof strength values of these scaled samples, the relevant response and proof strength at each seismic motion level are compared with each other, and the sample state of each device is classified as either safe ("0") or failure ("1"). Based on the sample status information of these devices, the sample status of the sub-system and top system is evaluated as "0" and "1" like the device through various logic gates on the system logic model (fault tree: FT). , This is the ratio of the total number of extracted samples and the number of samples in the fracture state (the number of samples with a value of "1") to evaluate the probability of each decay (eg 20%, 40%, 60%, 80%, 100%).

By performing this procedure for each seismic motion intensity, the device and system vulnerability curves are finally derived. However, the present disclosure is not limited thereto, and information may be provided in various forms, such as an earthquake risk (annual collapse frequency) related to an earthquake vulnerability curve.

2 shows the flow of each step of the seismic safety evaluation method according to an embodiment of the present invention. Hereinafter, content overlapping with FIG. 1 may be omitted, and each step of FIG. 2 may be performed in a different order as shown in the drawings depending on the case.

Referring to FIG. 2, the input acquisition unit 110 may acquire an input including a first parameter and a central earthquake strength for the earthquake vulnerability of the structure (S110). The first parameter may include, for example, a complex parameter in which randomness and uncertainty are considered in combination. For another example, the first parameter may include a randomness parameter and an uncertainty parameter.

The parameter acquisition unit 120 may acquire a second parameter indicating a response of the structure and a third parameter indicating a strength of the structure in relation to the central earthquake strength (S120).

If the first parameter includes a complex parameter, the parameter obtaining unit 120 may obtain a parameter for a response and a parameter for a history force using Equation 1 below.

In Equation 1, β _Rc may be a parameter for response, β _Cc may be a parameter for internal force, and β _c may be a first parameter.

The parameter acquisition unit 120 may calculate a response by applying the parameter β _Rc for the response to Equation 2 below. The calculated response may be a sampling value.

In Equation 2, Rc is the response, LN(a,b,c) is the lognormal distribution function considering a,b,c, A _m is the central seismic strength, and ρ is a correlation coefficient representing the relationship between a plurality of devices ( Or it may be a correlation function (correlation matrix). Based on this, the parameter obtaining unit 120 may determine the response as the second parameter.

The parameter obtaining unit 120 may calculate the proof strength by applying the parameter β _Cc for the proof strength to Equation 3 below. The calculated proof strength may be a sampling value.

In Equation 3, C may be an internal force. Based on this, the parameter obtaining unit 120 may determine the internal force as the third parameter.

The process of calculating the response or history as described above may be a sampling process based on LHS (latin hypercube sampling). When there are a large number of variables related to response and history, samples can be more effectively extracted from the corresponding multidimensional variable space through the sampling process based on the LHS, so that data acquisition can be performed more efficiently.

If the first parameter includes an uncertainty parameter and a randomness parameter, the parameter acquisition unit 120 uses Equation 4 below to indicate a parameter representing uncertainty about a response (hereinafter,'response-uncertainty parameter') and history. It is possible to obtain a parameter indicating the uncertainty about (hereinafter,'the history-uncertainty parameter').

In Equation 4, β _Ru may be a response-uncertainty parameter, β _Cu may be a proof strength-uncertainty parameter, and β _u may be an uncertainty parameter.

In addition, the parameter acquisition unit 120 uses a parameter representing randomness for a response (hereinafter,'response-random parameter') and a parameter representing randomness for a history (hereinafter,'history-random parameter) using Equation 5 below. ') can be obtained.

In Equation 5, β _Rr may be a response-random parameter, β _Cr may be a strength-randomness parameter, and β _r may be a randomness parameter.

The parameter acquisition unit 120 may obtain a response to the uncertainty by using the response-uncertainty parameter, and may obtain a history of the uncertainty by using the proof-of-uncertainty parameter. Specifically, the parameter acquisition unit 120 may obtain a response to the uncertainty using Equation 6 and obtain a history of the uncertainty using Equation 7.

는 불확실성에 대한 응답일 수 있다.In Equation 6,

May be a response to uncertainty.

는 불확실성에 대한 내력일 수 있다.In Equation 7,

May be a history of uncertainty.

The parameter acquisition unit 120 may obtain a final response by using a response to the uncertainty and a randomness parameter for the response, and may obtain a final strength by using a history of uncertainty and a randomness parameter for the resistance. Specifically, the final response can be obtained by Equation 8 below, and the final proof can be obtained by Equation 9 below.

는 i번째 샘플에 대한 불확실성에 대한 응답일 수 있다. 파라미터 획득부(120)는 후술되는 지진데이터의 생성을 위해 1번째 샘플에서부터 M번째 샘플에 대한 로그노말분포를 획득하여 최종 응답을 산출할 수 있다. In Equation 8, Rc may be the final response,

May be a response to the uncertainty for the i-th sample. The parameter acquisition unit 120 may calculate a final response by obtaining a lognormal distribution for the M-th sample from the first sample to generate earthquake data to be described later.

는 i번째 샘플에 대한 불확실성에 대한 내력일 수 있다. 파라미터 획득부(120)는 후술되는 지진데이터의 생성을 위해 1번째 샘플에서부터 M번째 샘플에 대한 로그노말분포를 획득하여 최종 내력을 산출할 수 있다. 이에 따라, 파라미터 획득부(120)는 최종 응답을 제2 파라미터로 결정하고, 최종 내력을 제3 파라미터로 결정할 수 있다. In Equation 9, C may be the final internal force,

May be a history of uncertainty for the i-th sample. The parameter acquisition unit 120 may obtain a lognormal distribution for the M-th sample from the first sample to generate earthquake data, which will be described later, to calculate the final strength. Accordingly, the parameter acquisition unit 120 may determine the final response as the second parameter and determine the final history as the third parameter.

The process of calculating such response and final history may be a sampling process based on LHS. As in the sampling techniques related to Equations 1 to 3, when sampling is performed based on LHS, data can be secured more efficiently.

The data generator 130 may generate seismic data within a predetermined seismic motion level range by scaling the second parameter and the third parameter (S130). Specifically, the data generator 130 may generate an earthquake susceptibility curve within a predetermined seismic motion level range by scaling the second parameter and the third parameter based on the central earthquake strength. The predetermined seismic motion level range may be a predetermined range value.

Meanwhile, the data generator 130 may generate seismic data by performing scaling at predetermined seismic level intervals within a predetermined seismic level range using Equation 10 below.

In Equation 10, R is the response on which the scaling has been performed, Rc is the second parameter, and a _j is the j-th section among the divided seismic level sections when the predetermined seismic motion level range is divided into S sections of equal intervals. have.

The safety calculation unit 140 may calculate a value indicating the safety of the structure based on the earthquake data. For example, the safety calculation unit 140 may estimate a collapse probability of a structure by analyzing earthquake data using FT data and binary state information (eg, normal (0) or abnormal (1)).

In some cases, when it is desired to acquire richer information on the safety of a structure, various earthquake data may be obtained by setting different correlations between a plurality of devices. For example, if the correlation values between a plurality of devices are input differently, and then the process from determining the second parameter and the third parameter to the subsequent process, that is, the process of generating earthquake data, is repeated, a plurality of earthquakes are vulnerable. Degree curves can be created. For an example of a plurality of earthquake vulnerability curves, refer to FIG. 4.

3 is a diagram for explaining scaling of an earthquake safety evaluation method according to an embodiment of the present invention. Specifically, FIG. 3 shows an example of a response and proof strength value related to a failure probability initially secured based on the central earthquake strength, and an earthquake vulnerability curve finally obtained through scaling thereafter.

Reference numeral 1a denotes a graph of the response and strength values related to the failure probability that is initially secured based on the central earthquake history. According to reference number 1a, it can be seen that the central earthquake history is a value at which the probability of collapse is 50%.

This central earthquake history may be displayed at an intermediate point on the graph of reference number 1b. Based on this, by scaling the response and the internal force left and right, a graph shown in reference numeral 1b can be finally obtained.

In the graph of reference numeral 1b, the x-axis may be a peak ground acceleration (PGA), and the y-axis may be a collapse probability. The PGA is the maximum ground acceleration, and may mean the maximum magnitude in the time history of the measured earthquake acceleration, and in this regard, since it is easy for a person skilled in the art, a detailed description will be omitted.

4 shows an example of an earthquake vulnerability curve obtained by the seismic safety evaluation method according to an embodiment of the present invention.

Referring to FIG. 4, when correlations between a plurality of devices included in a structure are different from each other, an integrated graph of an earthquake vulnerability curve obtained by referring to each correlation is shown. In the graph of FIG. 4, the x-axis may be a PGA, and the y-axis may be a collapse probability.

In the case of the first curve 41, an earthquake fragility curve is shown in the case of having a perfect correlation. The complete correlation may mean that a plurality of devices included in the structure are completely correlated with each other, and in this case, the value of ρ may be expressed as 1.

The second curve 42 represents an earthquake vulnerability curve in the case of having a partial correlation (ρ=0.7). The partial correlation may mean a case in which some of a plurality of devices included in the structure have a correlation, and in FIG. 4, a case where the ρ value is 0.7 is exemplified, but is not limited thereto and may be expressed in various values. .

In the case of the third curve 43, it represents the earthquake vulnerability curve when there is no correlation. That is, since each of the plurality of devices included in the structure has an independent relationship with each other, it may mean a state that does not affect each other. In this case, the ρ value may appear as 0.

According to FIG. 4, it can be seen that seismic safety may differ according to the correlation between a plurality of devices included in the structure.

However, the seismic safety evaluation method and apparatus according to the present invention can analyze seismic safety in consideration of each of the seismic safety evaluation methods and apparatuses, even when the correlations are different as described above, thereby providing more accurate and various information.

In addition, the seismic safety evaluation method and apparatus according to the present invention forms seismic data by sampling the response and proof strength obtained for the central earthquake strength, rather than obtaining the response and proof strength for each seismic motion level in the seismic data formation process, Seismic data can be obtained more quickly and easily.

In addition, the seismic safety evaluation method and apparatus according to the present invention can perform seismic vulnerability analysis more accurately in consideration of both randomness and uncertainty by separately analyzing randomness and uncertainty.

In addition, since the seismic safety evaluation method and apparatus according to the present invention performs sampling based on the LHS method, data can be secured more efficiently.

Combinations of each block of the block diagram attached to the present specification and each step of the flowchart may be performed by computer program instructions. Since these computer program instructions can be mounted on a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, the instructions executed by the processor of the computer or other programmable data processing equipment are shown in each block or flow chart of the block diagram. Each step creates a means to perform the functions described. These computer program instructions can also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular way, so that the computer-usable or computer-readable memory It is also possible to produce an article of manufacture in which the instructions stored in the block diagram contain instruction means for performing the functions described in each block or flow chart. Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operating steps are performed on a computer or other programmable data processing equipment to create a computer-executable process to create a computer or other programmable data processing equipment. It is also possible for the instructions to perform the processing equipment to provide steps for performing the functions described in each block of the block diagram and each step of the flowchart.

In addition, each block or each step may represent a module, segment, or part of code comprising one or more executable instructions for executing the specified logical function(s). In addition, it should be noted that in some alternative embodiments, functions mentioned in blocks or steps may occur out of order. For example, two blocks or steps shown in succession may in fact be performed substantially simultaneously, or the blocks or steps may sometimes be performed in the reverse order depending on the corresponding function.

The above description is merely illustrative of the technical idea of the present invention, and those of ordinary skill in the art to which the present invention pertains will be able to make various modifications and variations without departing from the essential quality of the present invention. Accordingly, the embodiments disclosed in the present specification are not intended to limit the technical idea of the present disclosure, but to explain the technical idea, and the scope of the technical idea of the present disclosure is not limited by these embodiments. The scope of protection of the present invention should be interpreted by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100: earthquake safety evaluation device
110: input acquisition unit
120: parameter acquisition unit
130: data generation unit
140: safety calculation unit

Claims (12)

In the seismic safety evaluation method for evaluating seismic safety for a structure,
Obtaining an input including a first parameter for the earthquake vulnerability of the structure and a central earthquake strength of the structure,
Using the obtained input, obtaining a second parameter indicating a response of the structure and a third parameter indicating a strength of the structure in relation to the central earthquake strength,
Generating seismic data within a predetermined seismic motion level range by scaling the second parameter and the third parameter,
Comprising the step of calculating a value representing earthquake safety based on the generated earthquake data
Seismic safety evaluation method. The method of claim 1,
The structure,
Including a plurality of devices,
The input is,
Further comprising a fourth parameter indicating a dependency relationship between the plurality of devices
Seismic safety evaluation method. The method of claim 1,
The first parameter,
Including a complex parameter reflecting the randomness and uncertainty of the seismic vulnerability of the structure
Seismic safety evaluation method. The method of claim 3,
Acquiring the second parameter and the third parameter,
Using the composite parameter, acquiring a 1-1 parameter for the response and a 1-2 parameter for the proof force,
Calculating the response and the internal force based on the 1-1 parameter and the 1-2 parameter,
Determining the calculated response as the second parameter, and determining the calculated internal force as the third parameter
Seismic safety evaluation method. The method of claim 1,
The first parameter,
Including a randomness parameter representing the standard deviation of the randomness of the seismic vulnerability of the structure and an uncertainty parameter representing the standard deviation of the uncertainty of the seismic vulnerability of the structure
Seismic safety evaluation method. The method of claim 5,
Acquiring the second parameter and the third parameter,
Using the randomness parameter, acquiring a 1-1 parameter representing randomness for the response and a 1-2 parameter representing randomness for the history,
Using the uncertainty parameter, acquiring a 1-3 parameter representing an uncertainty about the response and a 1-4 parameter representing an uncertainty about the proof force;
Calculating the response and the internal force based on the 1-1 parameter, the 1-2 parameter, the 1-3 parameter, and the 1-4 parameter,
Determining the calculated response as the second parameter, and determining the calculated internal force as the third parameter
Seismic safety evaluation method. The method of claim 1,
The response and the history are,
Calculated based on LHS (latin hypercube sampling)
Seismic safety evaluation method. The method of claim 1,
The earthquake data,
Including the fragility curve of the structure with respect to the seismic motion level
Seismic safety evaluation method. The method of claim 1,
The step of generating the earthquake data,
Generating a vulnerability curve based on scaling the second parameter and the third parameter based on the seismic motion level.
Seismic safety evaluation method. The method of claim 1,
The scaling is,
Including linear scaling
Seismic safety evaluation method. The method of claim 1,
The step of calculating a value representing the earthquake safety,
Comprising the step of determining a value representing the earthquake safety by calculating a collapse probability of the structure based on the generated earthquake data
Seismic safety evaluation method. In an earthquake safety evaluation device that evaluates earthquake safety for a structure,
An input acquisition unit for acquiring an input including a first parameter for the earthquake vulnerability of the structure and a central earthquake strength of the structure,
A parameter obtaining unit for obtaining a second parameter indicating a response of the structure and a third parameter indicating a strength of the structure in relation to the central earthquake strength, using the obtained input;
A data generator configured to generate earthquake data within a predetermined seismic motion level range by scaling the second parameter and the third parameter;
Comprising a safety calculation unit for calculating a value representing earthquake safety based on the generated earthquake data
Seismic safety evaluation device.

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