Earthquake impact assessment method and device

Abstract

The present application provides a method and device for earthquake impact assessment, wherein the method includes obtaining the magnitude corresponding to a candidate earthquake source and the distance between the candidate earthquake source and the area to be observed; determining the response spectrum of the area to be observed based on the magnitude and distance of the candidate earthquake source and the NGA attenuation model, and selecting matching seismic waves from the NGA database based on the magnitude and distance of the candidate earthquake source and the site conditions of the area to be observed; synthesizing the seismic motion time history of the area to be observed using the response spectrum of the area to be observed as a target spectrum and the seismic wave as a seed wave, and predicting the seismic impact result of the candidate earthquake source on the area to be observed based on the seismic motion time history of the area to be observed, so that the synthesized seismic motion time history is more accurate, thereby improving the accuracy of the predicted seismic impact result of the candidate earthquake source on the area to be observed.

Description

Technical Field

[0001] The present application relates to the field of communications, and in particular to a method and device for assessing earthquake impacts. Background Art

[0002] The seismic motions generated by earthquake sources around the area to be observed may have an impact on the area to be observed. Appropriate seismic waves from similar earthquake sources in the NGA database are selected, and the parameters in the seismic waves are observed. Based on the observed parameters, seismic motion synthesis technology is used to predict the impact of the seismic motions on the area to be observed. Then, based on the predicted results, seismic design is performed in advance for the area to be observed to protect it from the impact of seismic motions generated by surrounding earthquake sources.

[0003] Currently, seismic motion synthesis technology is mainly used to predict the impact of seismic motion on the observation area based on the information of the acceleration response spectrum in the seismic waves. The seismic motion in the current seismic motion synthesis technology is frequency-stable and does not consider the natural vibration period of the actual structure in the observation area, and the influence of factors such as the hanging wall effect, velocity pulse, and directional effect on the near-field vibration, resulting in a lack of accuracy in the prediction results. Summary of the Invention

[0004] The present application provides an earthquake impact assessment method and device to improve the accuracy of prediction results.

[0005] In one aspect, the present application provides a method for earthquake impact assessment, the method comprising:

[0006] Obtaining the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed;

[0007] According to the magnitude and distance of the candidate earthquake source, based on the NGA attenuation model, the response spectrum of the area to be observed is determined, and according to the magnitude and distance of the candidate earthquake source and the site conditions of the area to be observed, matching seismic waves are selected from the NGA database;

[0008] The response spectrum of the area to be observed is used as the target spectrum, and the seismic wave is used as the seed wave to synthesize the seismic motion time history of the area to be observed. Based on the seismic motion time history of the area to be observed, the seismic impact of the candidate earthquake source on the area to be observed is predicted.

[0009] In one embodiment, obtaining the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed includes:

[0010] Determining a first earthquake point with the highest earthquake occurrence probability among the candidate earthquake points based on the natural vibration period of the structure in the area to be observed and the earthquake occurrence probability of each candidate earthquake point in the candidate earthquake source at a preset earthquake fortification probability level;

[0011] The magnitude corresponding to the first earthquake point is used as the magnitude corresponding to the candidate earthquake source, and the distance between the first earthquake point and the area to be observed is used as the distance between the candidate earthquake source and the area to be observed.

[0012] In one embodiment, before determining the first earthquake point with the highest earthquake occurrence probability among the candidate earthquake points based on the natural vibration period of the structure in the area to be observed and the earthquake occurrence probability of each candidate earthquake point in the candidate earthquake source at a preset seismic fortification probability level, the method further includes:

[0013] Obtaining, based on the magnitude corresponding to each earthquake point in the candidate earthquake source and the distance between each earthquake point and the area to be observed, a response spectrum acceleration value generated by each earthquake point in the candidate earthquake source in the area to be observed based on an NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed;

[0014] The response spectrum acceleration value corresponding to the natural vibration period of the structure in the area to be observed under a preset seismic fortification probability level is used as a reference spectrum acceleration value. If there is an earthquake point in the candidate earthquake source whose response spectrum acceleration value generated in the area to be observed is greater than or equal to the reference spectrum acceleration value, then this earthquake point is used as the candidate earthquake point.

[0015] In one embodiment, selecting matching seismic waves from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source includes:

[0016] Based on the magnitude and distance corresponding to the candidate earthquake source, matching seismic waves are selected from the NGA database according to pre-set matching factors; wherein the matching factors include the site conditions of the area to be observed and at least one of the following: main aftershocks, fault rupture form, hanging wall effect, velocity pulse and directional effect.

[0017] In one embodiment, the method further comprises:

[0018] According to the seismic impact results of each candidate seismic source on the area to be observed, a candidate seismic source with the largest seismic impact result is selected from the candidate seismic sources as the target seismic source;

[0019] According to the earthquake impact result of the target earthquake source, the earthquake-resistant design processing corresponding to the area to be observed is performed.

[0020] In another aspect, the present application provides an earthquake impact assessment device, comprising:

[0021] An acquisition module is used to obtain the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed;

[0022] a processing module, configured to determine a response spectrum of the area to be observed based on the magnitude and distance corresponding to the candidate earthquake source and an NGA attenuation model; and select matching seismic waves from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source;

[0023] A prediction module is used to synthesize the seismic motion time history of the area to be observed using the response spectrum of the area to be observed as the target spectrum and the seismic wave as the seed wave, and based on the seismic motion time history of the area to be observed, predict the seismic impact of the candidate earthquake source on the area to be observed.

[0024] In one embodiment, the acquisition module is specifically configured to determine, based on each candidate earthquake point whose earthquake spectral acceleration value generated at the site exceeds a given value under a preset seismic fortification probability level, a first earthquake point that has the greatest contribution from each candidate earthquake point to the total annual exceedance probability of earthquake motion in the area to be observed;

[0025] The acquisition module is specifically used to use the magnitude corresponding to the first earthquake point as the magnitude corresponding to the candidate earthquake source, and use the distance between the first earthquake point and the area to be observed as the distance between the candidate earthquake source and the area to be observed.

[0026] In one embodiment, the processing module is further configured to obtain, based on the magnitude corresponding to each earthquake point in the candidate earthquake source and the distance between each earthquake point and the area to be observed, a response spectrum acceleration value generated by each earthquake point in the area to be observed based on an NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed;

[0027] The processing module is further configured to use the spectral acceleration value corresponding to the natural vibration period of the structure in the area to be observed at a preset seismic fortification probability level as a reference spectral acceleration value; if there is an earthquake point in the candidate earthquake source whose spectral acceleration value of the response spectrum generated in the area to be observed is greater than or equal to the reference spectral acceleration value, then this earthquake point is used as the candidate earthquake point.

[0028] In one embodiment, the processing module is specifically used to select matching seismic waves from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source and according to pre-set matching factors; wherein the matching factors include the site conditions of the area to be observed and at least one of the following: main aftershocks, fault rupture form, hanging wall effect, velocity pulse and directional effect.

[0029] In one embodiment, the processing module is further configured to select, from the candidate seismic sources, a candidate seismic source with the highest probability of generating a site acceleration response spectrum exceeding a given value, as a target seismic source, based on the seismic impact results of the candidate seismic sources on the area to be observed;

[0030] The processing module is further configured to execute seismic design processing corresponding to the area to be observed according to the seismic impact result of the target earthquake source.

[0031] In the earthquake impact assessment method and device provided in this application, the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed are first obtained. Then, based on the magnitude and distance corresponding to the candidate earthquake source and the NGA attenuation model, the response spectrum corresponding to the area to be observed is determined. The NGA attenuation model is closely related to the structural natural vibration period of the area to be observed. Then, based on the magnitude and distance corresponding to the candidate earthquake source, a matching earthquake wave is selected from the NGA database. Finally, the response spectrum corresponding to the area to be observed is used as the target spectrum and the earthquake wave is used as the seed wave to synthesize the seismic motion time history of the area to be observed. Based on the seismic motion time history of the area to be observed, the seismic impact of the candidate earthquake source on the area to be observed is predicted. In this example, when selecting matching earthquake waves from the NGA database, matching earthquake waves are selected based on the magnitude and distance corresponding to the candidate earthquake source, and the response spectrum corresponding to the area to be observed is determined under the premise that the structural natural vibration period of the area to be observed affects the NGA attenuation model. Therefore, the synthesized seismic motion time history is more accurate, thereby improving the accuracy of the predicted seismic impact of the candidate earthquake source on the area to be observed. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0033] Figure 1 This is a schematic diagram of an application scenario for this application example;

[0034] Figure 2 A flowchart of an earthquake impact assessment method provided in Example 1 of the present application;

[0035] Figure 3 A flowchart of another earthquake impact assessment method provided in Example 1 of the present application;

[0036] Figure 4 A flowchart of another earthquake impact assessment method provided in Example 1 of the present application;

[0037] Figure 5 A schematic structural diagram of an earthquake impact assessment device provided in Example 2 of the present application;

[0038] Figure 6 This is a structural diagram of an electronic device provided in Example 3 of the present application.

[0039] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0041] Figure 1 This is a schematic diagram of the application scenario of an example of this application. The figure illustrates that when an earthquake occurs at a candidate earthquake source, it will have a seismic impact on the area to be observed. The magnitude of the seismic impact that the candidate earthquake source will have on the area to be observed depends on the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. The purpose of this application is to predict the seismic impact that the candidate earthquake source will have on the area to be observed based on factors such as the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed.

[0042] It should be noted that the brief descriptions of terms in this application are only for the purpose of facilitating the understanding of the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise specified, these terms should be understood according to their ordinary and usual meanings.

[0043] The technical solutions of the present application and the technical solutions of the present application are described in detail below with reference to specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in certain embodiments. In the description of the present application, unless otherwise clearly specified and limited, each term should be understood in a broad sense within the art. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0044] Example 1

[0045] Figure 2 A flowchart of an earthquake impact assessment method provided in Example 1 of the present application is shown in FIG. Figure 2 As shown, the method includes:

[0046] Step 201: Obtain the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed;

[0047] Step 202: Determine the response spectrum of the area to be observed based on the magnitude and distance corresponding to the candidate earthquake source and the NGA attenuation model; and select matching seismic waves from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source;

[0048] Step 203: Using the response spectrum of the area to be observed as the target spectrum and the seismic wave as the seed wave, synthesize the seismic motion time history of the area to be observed, and based on the seismic motion time history of the area to be observed, predict the seismic impact of the candidate earthquake source on the area to be observed.

[0049] The executor of this embodiment is an earthquake impact assessment system, which can be implemented through a computer program, such as application software, etc.; or, it can be implemented as a medium storing relevant computer programs, such as a USB flash drive, a cloud disk, etc.; or, it can be implemented through a physical device integrated or installed with relevant computer programs, such as a chip, etc.

[0050] In combination with the scenario example, an area to be observed is selected, and the area to be observed has a spectral acceleration value corresponding to the natural vibration period of the structure under a pre-set seismic fortification probability level, and the spectral acceleration value is regarded as a reference spectral acceleration value. There may be multiple earthquake sources distributed around the area to be observed. Among all the earthquake sources around the area to be observed, if the earthquake source generates a response spectrum acceleration value in the area to be observed that exceeds the reference spectrum acceleration value when an earthquake occurs, it is regarded as a candidate earthquake source. The impact of an earthquake at the candidate earthquake source on the area to be observed mainly depends on the magnitude of the earthquake at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. The Next Generation of Ground-Motion Attenuation Models (NGA attenuation model) can simulate the response spectrum of the seismic impact on the area to be observed when an earthquake occurs at the candidate earthquake source based on the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. For the NGA attenuation model, the structural natural vibration period of the area to be observed affects the main focus period of the NGA attenuation model, so the response spectrum obtained by the NGA attenuation model is also obtained based on the structural natural vibration period of the area to be observed. The NGA database contains seismic wave data under various magnitudes, distances and site conditions. In the NGA database, matching seismic waves are selected based on the magnitude of the earthquake occurring at the candidate earthquake source, the distance between the candidate earthquake source and the area to be observed, and the site conditions of the area to be observed. The response spectrum simulated by the NGA attenuation model is used as the target spectrum, and the matching seismic wave selected from the NGA database is used as the seed wave. The target spectrum and the seed wave are synthesized to obtain the seismic motion time history of the area to be observed. The seismic motion time history reflects the seismic motion impact of the candidate earthquake source on the area to be observed at the current magnitude, including the magnitude and duration of the earthquake in the area to be observed caused by the seismic motion of the candidate earthquake source.

[0051] This example first determines the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed, and then, based on the natural vibration period of the area to be observed, obtains the response spectrum of the earthquake impact of the candidate earthquake source on the area to be observed through the NGA attenuation model, and selects matching seismic waves from the NGA database, uses the response spectrum as the target spectrum, and the seismic wave as the seed wave to synthesize the seismic motion time history in the generation observation area, and obtains the seismic motion impact of the candidate earthquake source on the area to be observed from the seismic motion time history. When selecting matching seismic waves from the NGA database, this example selects matching seismic waves based on the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed, and determines the response spectrum corresponding to the area to be observed based on the NGA attenuation model, so that the synthesized seismic motion time history is more accurate, and the accuracy of the predicted seismic impact of the candidate earthquake source on the area to be observed is improved.

[0052] Optional, Figure 3 A flow chart of another earthquake impact assessment method provided in Example 1 of the present application is shown as follows: Figure 3 As shown, the step 201 includes:

[0053] Step 301: Determine a first earthquake point with the highest earthquake occurrence probability among the candidate earthquake points based on the natural vibration period of the structure in the area to be observed and the earthquake occurrence probability of each candidate earthquake point in the candidate earthquake source at a preset earthquake fortification probability level;

[0054] Step 302: Use the magnitude corresponding to the first seismic point as the magnitude corresponding to the candidate seismic source, and use the distance between the first seismic point and the area to be observed as the distance between the candidate seismic source and the area to be observed.

[0055] Combined with the scenario example, under the same candidate source, there may be multiple main seismic fault positions, and the main seismic fault position is the main location where the current candidate source earthquake occurs, that is, the earthquake point. The magnitude of the earthquake at different earthquake points under the same candidate source is not the same, and the probability of the earthquake is also different. The research of this application is to determine the magnitude and probability of the earthquake at each candidate seismic point under each candidate source at the same seismic fortification probability level, and regard the candidate seismic point with the largest probability of an earthquake under each candidate source as the first seismic point under the candidate source, the magnitude of the earthquake at the first seismic point as the magnitude of the earthquake at the corresponding candidate source, and the distance between the first seismic point and the area to be observed as the distance between the corresponding candidate source and the area to be observed. This example makes it easier to predict the impact of the earthquake on the area to be observed when an earthquake occurs at each candidate source.

[0056] Optional, Figure 4 A flow chart of another earthquake impact assessment method provided in Example 1 of the present application is shown as follows: Figure 4 As shown, before step 301, the following steps are further included:

[0057] Step 401: According to the magnitude corresponding to each earthquake point in the candidate earthquake source and the distance between each earthquake point and the area to be observed, based on the NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed, obtain the response spectrum acceleration value generated by each earthquake point in the candidate earthquake source in the area to be observed;

[0058] Step 402: The spectral acceleration value corresponding to the natural vibration period of the structure in the area to be observed under a preset seismic fortification probability level is used as a reference spectral acceleration value. If there is an earthquake point in the candidate earthquake source whose spectral acceleration value of the response spectrum generated in the area to be observed is greater than or equal to the reference spectral acceleration value, then this earthquake point is used as the candidate earthquake point.

[0059] Combined with the scenario example, according to the assumption of probabilistic earthquake hazard analysis, the seismic activity under the same candidate earthquake source satisfies a uniform distribution, that is, there are multiple earthquake points under the same earthquake source. Whether each earthquake point will have an impact on the observed area depends on the magnitude of the earthquake at the earthquake point and the distance between the earthquake point and the observed area. If the earthquake at the earthquake point will have an impact on the observed area, then the magnitude of the earthquake at the earthquake point and the distance between the earthquake point and the observed area are input into the NGA attenuation model corresponding to the frequency band of the structural natural vibration period in the observed area. If the response spectrum acceleration value generated by the earthquake at the earthquake point on the observed area is greater than or equal to the reference spectrum acceleration value, then it is proved that the earthquake at the earthquake point will have an impact on the observed area. The reference spectrum acceleration value is the spectrum acceleration value corresponding to the structural natural vibration period in the observed area at a pre-set seismic fortification probability level.

[0060] The candidate earthquake points are arranged from large to small according to the response spectrum acceleration values ​​generated by the candidate earthquake points on the area to be observed, and a pre-set number of earthquake points are selected as candidate earthquake points under the current candidate earthquake source. The greater the impact of an earthquake point on the area to be observed when an earthquake occurs, the greater the response spectrum acceleration value generated in the area to be observed. This example determines whether an earthquake point will have an impact on the area to be observed by observing whether the response spectrum acceleration value generated by an earthquake point under a candidate earthquake source on the area to be observed exceeds the reference spectrum acceleration value when an earthquake occurs. The earthquake points are arranged from small to large according to the response spectrum acceleration values ​​generated by the earthquake point on the area to be observed, and a pre-set number of earthquake points are selected as candidate earthquake points under the candidate earthquake source, so that the magnitude of the earthquake occurring at the current candidate earthquake source and the distance between the earthquake point and the area to be observed are determined more accurately.

[0061] Optionally, matching seismic waves are selected from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source and according to pre-set matching factors; wherein the matching factors include the site conditions of the area to be observed and at least one of the following: main aftershocks, fault rupture form, hanging wall effect, velocity pulse and directional effect.

[0062] Combined with the scenario example, even under the same magnitude and distance, the area to be observed will be affected to varying degrees due to different addresses. Therefore, when analyzing the impact of an earthquake on the area to be observed when a candidate earthquake occurs, not only the magnitude of the candidate earthquake source and the distance from the area to be observed should be considered, but also after determining the magnitude of the candidate earthquake source and the distance from the area to be observed, when selecting matching NGA data from the NGA database, the actual pre-set matching factors should also be considered, including the site conditions of the area to be observed, main aftershock sequence, fault rupture form, hanging wall effect, velocity pulse, directional effect and other actual seismic geological and environmental factors. In this example, when selecting matching seismic waves from the NGA database, not only the magnitude of the earthquake occurring at the candidate source and the distance between the candidate source and the area to be observed are referred to, but also various factors such as the site conditions of the area to be observed, the main aftershock sequence, the fault rupture form, the hanging plate effect, the velocity pulse, the directional effect, etc. are considered, so that the selected seismic waves are more consistent with the actual situation, the seismic motion time history obtained in the area to be observed is more accurate, and the accuracy of the predicted earthquake impact results of the candidate source on the area to be observed is improved.

[0063] Optionally, the method further includes:

[0064] According to the earthquake impact results of each candidate earthquake source on the area to be observed, the candidate earthquake source with the greatest earthquake impact result is selected from the candidate earthquake sources as the target earthquake source;

[0065] According to the earthquake impact result of the target earthquake source, the earthquake-resistant design processing corresponding to the area to be observed is performed.

[0066] Combined with the scenario example, under a specific seismic fortification probability level, in order to perform seismic design treatment in the area to be observed, it is necessary to refer to the maximum possible seismic impact of earthquakes caused by surrounding candidate seismic sources on the area to be observed. Therefore, after determining the response spectrum acceleration value of each surrounding candidate seismic source in the natural vibration period of the structure in the area to be observed, the candidate seismic source with the greatest impact on the area to be observed is determined from the response spectrum acceleration values, and the candidate seismic source is regarded as the target seismic source. According to the impact result of the response spectrum acceleration value generated by the target seismic source on the area to be observed, the corresponding seismic design treatment is performed in the area to be observed. This example refers to the maximum possible seismic impact result of the candidate seismic sources on the area to be observed under a specific seismic fortification probability level, and performs the corresponding seismic design treatment in the area to be observed, which can protect the area to be observed from earthquake damage to the greatest extent.

[0067] This embodiment first determines the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed, and then, based on the natural vibration period of the area to be observed, obtains the response spectrum of the earthquake impact of the candidate earthquake source on the area to be observed through the NGA attenuation model, and selects matching seismic waves from the NGA database, uses the response spectrum as the target spectrum, and synthesizes the seismic motion time history in the generation observation area with the seismic wave as the seed wave, and obtains the seismic motion impact of the candidate earthquake source on the area to be observed from the seismic motion time history. When selecting matching seismic waves from the NGA database, this example selects matching seismic waves based on the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed, and determines the response spectrum corresponding to the area to be observed based on the NGA attenuation model, so that the synthesized seismic motion time history is more accurate, and improves the accuracy of the predicted seismic impact results of the candidate earthquake source on the area to be observed.

[0068] Example 2

[0069] Figure 5 This is a structural diagram of an earthquake impact assessment device provided in Example 2 of the present application, as shown in FIG. Figure 5 As shown, the device includes:

[0070] An acquisition module 51 is used to obtain the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed;

[0071] A processing module 52 is configured to determine a response spectrum of the area to be observed based on the magnitude and distance corresponding to the candidate earthquake source and an NGA attenuation model; and select matching seismic waves from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source;

[0072] The prediction module 53 is used to synthesize the seismic motion time history of the area to be observed by using the response spectrum of the area to be observed as the target spectrum and the seismic wave as the seed wave, and predict the seismic impact of the candidate earthquake source on the area to be observed based on the seismic motion time history of the area to be observed.

[0073] The executor of this embodiment is an earthquake impact assessment device, which can be implemented through a computer program, such as application software, etc.; or, it can also be implemented as a medium storing relevant computer programs, such as a USB flash drive, a cloud disk, etc.; or, it can also be implemented through a physical device integrated or installed with relevant computer programs, such as a chip, etc.

[0074] In combination with the scenario example, an area to be observed is selected, and the area to be observed has a spectral acceleration value corresponding to the natural vibration period of the structure under a pre-set seismic fortification probability level, and the spectral acceleration value is regarded as a reference spectral acceleration value. There may be multiple earthquake sources distributed around the area to be observed. Among all the earthquake sources around the area to be observed, if the earthquake source generates a response spectrum acceleration value in the area to be observed that exceeds the reference spectrum acceleration value when an earthquake occurs, it is regarded as a candidate earthquake source. The impact of an earthquake occurring at the candidate earthquake source on the area to be observed mainly depends on the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. The acquisition module 51 first obtains the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. The processing module 52 determines the response spectrum of the area to be observed based on the NGA attenuation model according to the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. The NGA attenuation model can simulate the response spectrum of the seismic impact on the area to be observed when an earthquake occurs at the candidate earthquake source based on the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. For the NGA attenuation model, the structural natural vibration period of the area to be observed affects the main focus period of the NGA attenuation model, so the response spectrum obtained by the NGA attenuation model is also obtained based on the structural natural vibration period of the area to be observed. The NGA database contains seismic wave data under various magnitudes, distances and site conditions. In the NGA database, matching seismic waves are selected based on the magnitude of the earthquake occurring at the candidate earthquake source, the distance between the candidate earthquake source and the area to be observed, and the site conditions of the area to be observed. The prediction module 53 uses the response spectrum simulated by the NGA attenuation model as the target spectrum and the matching seismic wave selected from the NGA database as the seed wave, and synthesizes the target spectrum and the seed wave to obtain the seismic motion time history of the area to be observed. The seismic motion time history reflects the seismic motion impact of the candidate earthquake source on the area to be observed at the current magnitude, including the magnitude and duration of the earthquake in the area to be observed caused by the seismic motion of the candidate earthquake source.

[0075] In this example, the acquisition module 51 first determines the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. Then, based on the natural vibration period of the area to be observed, the processing module 52 obtains the response spectrum of the earthquake impact of the candidate earthquake source on the area to be observed through the NGA attenuation model, and selects matching seismic waves from the NGA database. The prediction module 53 uses the response spectrum as the target spectrum and the seismic wave as the seed wave to synthesize the seismic motion time history in the generation observation area, and obtains the seismic motion impact of the candidate earthquake source on the area to be observed from the seismic motion time history. When selecting matching seismic waves from the NGA database, this example selects matching seismic waves based on the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed, and determines the response spectrum corresponding to the area to be observed based on the NGA attenuation model, so that the synthesized seismic motion time history is more accurate, which improves the accuracy of the predicted seismic impact of the candidate earthquake source on the area to be observed.

[0076] Optionally, the acquisition module 51 is specifically configured to determine a first earthquake point with the highest earthquake occurrence probability among the candidate earthquake points based on the natural vibration period of the structure in the area to be observed and the earthquake occurrence probability of each candidate earthquake point in the candidate earthquake source at a preset seismic fortification probability level;

[0077] The acquisition module 51 is further configured to use the magnitude corresponding to the first earthquake point as the magnitude corresponding to the candidate earthquake source, and use the distance between the first earthquake point and the area to be observed as the distance between the candidate earthquake source and the area to be observed.

[0078] Combined with the scenario example, under the same candidate source, there may be multiple main seismic fault positions, and the main seismic fault position is the main location where the current candidate source earthquake occurs, that is, the earthquake point. The magnitude of the earthquake occurring at different earthquake points under the same candidate source is not the same, and the probability of the earthquake occurring is also not the same. The research of this application is to determine the magnitude and probability of the earthquake occurring at each candidate seismic point under each candidate source at the same seismic fortification probability level, and the acquisition module 51 regards the candidate seismic point with the largest probability of an earthquake occurring under each candidate source as the first seismic point under the candidate source, and regards the magnitude of the earthquake occurring at the first seismic point as the magnitude of the earthquake occurring at the corresponding candidate source. The acquisition module 51 regards the distance between the first seismic point and the area to be observed as the distance between the corresponding candidate source and the area to be observed. In this example, the acquisition module 51 regards the magnitude of the earthquake occurring at the first seismic point as the magnitude of the earthquake occurring at the corresponding candidate source, and regards the distance between the first seismic point and the area to be observed as the distance between the corresponding candidate source and the area to be observed. It is more convenient to predict the earthquake impact on the area to be observed when an earthquake occurs at each candidate source.

[0079] Optionally, the processing module 52 is further configured to obtain, based on the magnitude corresponding to each earthquake point in the candidate earthquake source and the distance between each earthquake point and the area to be observed, a response spectrum acceleration value generated by each earthquake point in the area to be observed based on an NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed;

[0080] The processing module 52 is further configured to use the spectral acceleration value corresponding to the natural vibration period of the structure in the area to be observed at a preset seismic fortification probability level as a reference spectral acceleration value. If there is an earthquake point in the candidate earthquake source whose spectral acceleration value of the response spectrum generated in the area to be observed is greater than or equal to the reference spectral acceleration value, then this earthquake point is used as the candidate earthquake point.

[0081] In combination with the scenario example, according to the assumption of probabilistic earthquake hazard analysis, the seismic activity under the same candidate earthquake source satisfies a uniform distribution, that is, there are multiple earthquake points where earthquakes occur under the same earthquake source. Whether each earthquake point will have an impact on the area to be observed depends on the magnitude of the earthquake occurring at the earthquake point and the distance between the earthquake point and the area to be observed. If the earthquake occurring at the earthquake point will have an impact on the area to be observed, then in the frequency band of the structural natural vibration period of the area to be observed, the processing module 52 inputs the magnitude of the earthquake occurring at the earthquake point and the distance between the earthquake point and the area to be observed into the NGA attenuation model corresponding to the frequency band. If the response spectrum acceleration value generated by the earthquake occurring at the earthquake point on the area to be observed is greater than or equal to the reference spectrum acceleration value, then it is proved that the earthquake occurring at the earthquake point will have an impact on the area to be observed. The reference spectrum acceleration value is the spectrum acceleration value corresponding to the structural natural vibration period at the pre-set seismic fortification probability level in the area to be observed.

[0082] The processing module 52 arranges the response spectrum acceleration values ​​generated by the candidate earthquake points on the area to be observed from large to small, and selects a pre-set number of earthquake points as candidate earthquake points under the current candidate earthquake source. The greater the impact of an earthquake point on the area to be observed when an earthquake occurs, the greater the response spectrum acceleration value generated in the area to be observed. The processing module 52 of this example determines whether the earthquake point will have an impact on the area to be observed by observing whether the response spectrum acceleration value generated by the earthquake point on the area to be observed when an earthquake occurs under the candidate earthquake source exceeds the reference spectrum acceleration value. The processing module 52 also arranges the response spectrum acceleration values ​​generated by the earthquake point on the area to be observed from small to large, and selects a pre-set number of earthquake points as candidate earthquake points under the candidate earthquake source, so that the magnitude of the earthquake occurring at the current candidate earthquake source and the distance between the earthquake point and the area to be observed are determined more accurately.

[0083] Optionally, the processing module 52 is specifically used to select matching seismic waves from the NGA database according to the magnitude and distance corresponding to the candidate earthquake source and pre-set matching factors; wherein the matching factors include the site conditions of the area to be observed and at least one of the following: main aftershocks, fault rupture form, hanging wall effect, velocity pulse and directional effect.

[0084] Combined with the scenario example, even under the same magnitude and distance, the area to be observed will be affected to varying degrees due to different addresses. Therefore, when analyzing the impact of an earthquake on the area to be observed when an earthquake occurs at a candidate earthquake source, not only the magnitude of the candidate earthquake source and the distance from the area to be observed should be considered, but also after determining the magnitude of the candidate earthquake source and the distance from the area to be observed, when the processing module 52 selects matching NGA data from the NGA database, it is also necessary to consider actual pre-set matching factors, including actual seismic geological and environmental factors such as the site conditions of the area to be observed, main aftershock sequence, fault rupture form, hanging plate effect, velocity pulse and directional effect. In this example, when the processing module 52 selects matching seismic waves from the NGA database, it not only refers to the magnitude of the earthquake occurring at the candidate source and the distance between the candidate source and the area to be observed, but also considers various factors such as the site conditions of the area to be observed, the main aftershock sequence, the fault rupture form, the hanging plate effect, the velocity pulse, the directional effect, etc., so that the selected seismic waves are more consistent with the actual situation, the seismic motion time history obtained in the area to be observed is more accurate, and the accuracy of the predicted earthquake impact results of the candidate source on the area to be observed is improved.

[0085] Optionally, the processing module 52 is further configured to select, from among the candidate earthquake sources, a candidate earthquake source with the greatest earthquake impact result as the target earthquake source, based on the earthquake impact results of the candidate earthquake sources on the area to be observed;

[0086] The processing module 52 is further configured to execute seismic design processing corresponding to the area to be observed according to the earthquake impact result of the target earthquake source.

[0087] Combined with the scenario example, under a specific seismic fortification probability level, in order to perform seismic design processing in the area to be observed, the processing module 52 needs to refer to the maximum possible seismic impact of earthquakes caused by surrounding candidate seismic sources on the area to be observed. Therefore, after determining the response spectrum acceleration value of each surrounding candidate seismic source in the natural vibration period of the structure in the area to be observed, the candidate seismic source with the greatest impact on the area to be observed is determined from the response spectrum acceleration values. The processing module 52 regards the candidate seismic source as the target seismic source, and performs corresponding seismic design processing in the area to be observed based on the impact result of the response spectrum acceleration value generated by the target seismic source on the area to be observed. The processing module 52 of this example refers to the maximum possible seismic impact result of the candidate seismic source on the area to be observed under a specific seismic fortification probability level, and performs corresponding seismic design processing in the area to be observed, which can protect the area to be observed from earthquake damage to the greatest extent.

[0088] In this embodiment, the acquisition module first determines the magnitude of the earthquake occurring at the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed. Then, based on the natural vibration period of the area to be observed, the processing module obtains the response spectrum of the earthquake impact of the candidate earthquake source on the area to be observed through the NGA attenuation model, and selects matching seismic waves from the NGA database. The prediction module uses the response spectrum as the target spectrum and the seismic wave as the seed wave to synthesize the seismic motion time history in the generation observation area, and obtains the seismic motion impact of the candidate earthquake source on the area to be observed from the seismic motion time history. When selecting matching seismic waves from the NGA database, this example selects matching seismic waves based on the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed, and determines the response spectrum corresponding to the area to be observed based on the NGA attenuation model, so that the synthesized seismic motion time history is more accurate, which improves the accuracy of the predicted seismic impact of the candidate earthquake source on the area to be observed.

[0089] Example 3

[0090] Figure 6 This is a structural diagram of an electronic device provided in Example 3 of this application, such as Figure 6 As shown, the electronic device includes:

[0091] The electronic device includes a processor 291 and a memory 292; a communication interface 293, and a bus 294. The processor 291, memory 292, and communication interface 293 can communicate with each other via bus 294. Communication interface 293 can be used for information transmission. The processor 291 can invoke logic instructions in memory 292 to execute the methods of the above embodiments.

[0092] In addition, the logic instructions in the memory 292 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0093] Memory 292, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present application. Processor 291 executes the software programs, instructions, and modules stored in memory 292 to perform functional applications and data processing, thereby implementing the methods in the above-mentioned method embodiments.

[0094] Memory 292 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal device. Memory 292 may also include high-speed random access memory and non-volatile memory.

[0095] An embodiment of the present application provides a non-transitory computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed by a processor, they are used to implement the method described in the above embodiment.

[0096] Example 4

[0097] An embodiment of the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the private network data collection method provided in any embodiment of the above-mentioned embodiment of the present application.

[0098] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the inventions claimed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art not claimed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0099] It should be understood that the present application is not limited to the exact structure described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for earthquake impact assessment, characterized in that: The method comprises: Obtaining the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed; Determining the response spectrum of the area to be observed based on the magnitude and distance of the candidate earthquake source and the NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed; selecting matching seismic waves from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source and pre-set matching factors; wherein the matching factors include the site conditions of the area to be observed and at least one of the following: hanging wall effect, velocity pulse, and directivity effect; Using the response spectrum of the area to be observed as a target spectrum and the seismic wave as a seed wave, synthesizing the seismic motion time history of the area to be observed, and predicting the seismic impact of the candidate earthquake source on the area to be observed based on the seismic motion time history of the area to be observed; The obtaining of the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed includes: Obtaining, based on the magnitude corresponding to each earthquake point in the candidate earthquake source and the distance between each earthquake point and the area to be observed, a response spectrum acceleration value generated by each earthquake point in the candidate earthquake source in the area to be observed based on an NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed; The response spectrum acceleration value corresponding to the natural vibration period of the structure in the area to be observed under a preset seismic fortification probability level is used as a reference spectrum acceleration value. If there is an earthquake point in the candidate earthquake source whose response spectrum acceleration value generated in the area to be observed is greater than or equal to the reference spectrum acceleration value, then this earthquake point is used as a candidate earthquake point; Determining a first earthquake point with the highest earthquake occurrence probability among the candidate earthquake points based on the natural vibration period of the structure in the area to be observed and the earthquake occurrence probability of each candidate earthquake point in the candidate earthquake source at a preset earthquake fortification probability level; The magnitude corresponding to the first earthquake point is used as the magnitude corresponding to the candidate earthquake source, and the distance between the first earthquake point and the area to be observed is used as the distance between the candidate earthquake source and the area to be observed.

2. The method according to claim 1, characterized in that The matching factors also include main shocks, aftershocks and fault rupture patterns.

3. The method according to claim 1 or 2, characterized in that The method further comprises: According to the seismic impact results of each candidate seismic source on the area to be observed, a candidate seismic source with the largest seismic impact result is selected from the candidate seismic sources as the target seismic source; According to the earthquake impact result of the target earthquake source, the earthquake-resistant design processing corresponding to the area to be observed is performed.

4. An earthquake impact assessment device, characterized in that: The device comprises: An acquisition module is used to obtain the magnitude corresponding to the candidate earthquake source and the distance between the candidate earthquake source and the area to be observed; a processing module configured to determine a response spectrum of the area to be observed based on the magnitude and distance corresponding to the candidate earthquake source and an NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed; and select matching seismic waves from the NGA database based on the magnitude and distance corresponding to the candidate earthquake source and pre-set matching factors; wherein the matching factors include site conditions of the area to be observed and at least one of the following: hanging wall effect, velocity pulse, and directivity effect; a prediction module, configured to synthesize the seismic time history of the area to be observed using the response spectrum of the area to be observed as a target spectrum and the seismic wave as a seed wave, and predict the seismic impact of the candidate earthquake source on the area to be observed based on the seismic time history of the area to be observed; The processing module is specifically configured to obtain, based on the magnitude corresponding to each earthquake point in the candidate earthquake source and the distance between each earthquake point and the area to be observed, a response spectrum acceleration value generated by each earthquake point in the area to be observed based on an NGA attenuation model corresponding to the natural vibration period of the structure in the area to be observed; The processing module is further configured to use a response spectrum acceleration value corresponding to the natural vibration period of the structure in the area to be observed at a preset seismic fortification probability level as a reference spectrum acceleration value, and if there is an earthquake point in the candidate earthquake source that generates a response spectrum acceleration value in the area to be observed that is greater than or equal to the reference spectrum acceleration value, then the earthquake point is used as a candidate earthquake point; The acquisition module is specifically further used to determine the first earthquake point with the highest probability of earthquake occurrence among the candidate earthquake points based on the natural vibration period of the structure of the area to be observed and the probability of earthquake occurrence of each candidate earthquake point in the candidate earthquake source under a pre-set seismic fortification probability level; use the magnitude corresponding to the first earthquake point as the magnitude corresponding to the candidate earthquake source, and use the distance between the first earthquake point and the area to be observed as the distance between the candidate earthquake source and the area to be observed.

5. The device according to claim 4, characterized in that The matching factors also include main shocks, aftershocks and fault rupture patterns.

6. The device according to any one of claims 4 or 5, characterized in that The processing module is further configured to select, from the candidate earthquake sources, a candidate earthquake source with the highest probability of generating a site acceleration response spectrum exceeding a given value as a target earthquake source based on the earthquake impact results of the candidate earthquake sources on the area to be observed; The processing module is further configured to execute seismic design processing corresponding to the area to be observed according to the seismic impact result of the target earthquake source.

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