CN110134682A - Data interactive method and data library device based on earthquake motion database sharing - Google Patents
Data interactive method and data library device based on earthquake motion database sharing Download PDFInfo
- Publication number
- CN110134682A CN110134682A CN201910304266.8A CN201910304266A CN110134682A CN 110134682 A CN110134682 A CN 110134682A CN 201910304266 A CN201910304266 A CN 201910304266A CN 110134682 A CN110134682 A CN 110134682A
- Authority
- CN
- China
- Prior art keywords
- data
- earthquake motion
- earthquake
- motion data
- motion
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
Abstract
The present invention relates to a kind of data interactive method and data library device based on earthquake motion database sharing, wherein method includes: step S1: obtaining earthquake motion data, the source of base area vibration data, corresponding place and ground motion parameter store the designated position into database, wherein, the source of earthquake motion data includes actual measurement earthquake motion data and simulating seismic motion data；Step S2: after receiving data acquisition instruction, corresponding data is obtained from corresponding grouping according to the source, corresponding place and ground motion parameter of the earthquake motion data of required acquisition and are returned.Compared with prior art, the present invention enumerates actual measurement earthquake motion data and simulating seismic motion data, meets in seismic design of structures and analysis the needs of vibration data over the ground, the efficiency of data interaction can be improved, to improve the effect of Aseismic Design and analysis.
Description
Technical field
The present invention relates to seismic analysis of structures and reliability evaluation field, are based on earthquake motion number more particularly, to one kind
The data interactive method and data library device constructed according to library.
Background technique
Occur often to cause a large amount of casualties and serious economic loss in the big shake of human settlement.In order to drop
Influence of the low earthquake disaster to people's life, production and living, carrying out Aseismic Design to engineering structure is effective means.And engineering
The basis of seismic design of structures is to grasp and apply earthquake motion data.In engineering, or geological process is directly reduced to static(al)
Load, or select 3~5 earthquake motion time histories (natural wave or artificial wave) and carry out structure time-history analysis, this is for reflecting earthquake
It moves for strong randomness, is far from being enough.
Need the support of data in the seismic analysis of structures and reliability evaluation of building, but existing database knot
Structure is not directed to the characteristics of seismic data and optimizes, and causes the reading efficiency in application low, needs after a read
Terminal is handled again, results in seismic analysis of structures and reliability evaluation is inefficient, such as Chinese patent
CN108829717A discloses a kind of database that the quantitative analysis of deep water water channel configuration and morphological Simulation are carried out based on seismic data
System, comprising: the geologic setting information data in data inputting module, typing earthquake three-dimensional coordinate and work area；Data preparation module,
Data are divided into numerous types of data relevant to deep water water channel configuration；Data memory module deposits various data types respectively
Storage is in the database with hierarchical structure；Screening module filters out the deep water water channel developed in similar deposition environment；Data
Output module exports the characterization parameter filtered out or geometric description information；Graph generation module, based on being stored in database
Various types of data generate chart or appearance model；Contrast module utilizes the form similarity of fuzzy model identification computation model.This
Invention establishes the database in relation to deep water water channel configurational unit using programming, with include, arrange various configuration unit it is quantitative with
And qualitative data, and quantitative analysis and morphological Simulation are carried out to water channel configuration.
But it one is does not support actual measurement seismic data and simulates the classification storage of seismic data, second is that it does not account for field
Influence of the ground for earthquake analysis, therefore it is low in the number interactive efficiency of seismic analysis of structures and reliability evaluation application link
Under.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind to be based on Stochastic earthquake
The data interactive method and data library device of dynamic database sharing.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of data interactive method based on earthquake motion database sharing, comprising:
Step S1: earthquake motion data, the source of base area vibration data, corresponding place and ground motion parameter storage are obtained
Designated position into database, wherein the source of the earthquake motion data includes actual measurement earthquake motion data and simulating seismic motion
Data；
Step S2: after receiving data acquisition instruction, according to the source of the earthquake motion data of required acquisition, corresponding field
Ground and ground motion parameter obtain corresponding data from corresponding grouping and return.
The earthquake motion database includes the first module for storing actual measurement earthquake motion data, and for storing simulation ground
Second module of vibration data.
It include four big groups for respectively corresponding different places in first module, in each big group by way of cluster
Split data into multiple groups；
It include four big groups for respectively corresponding different places in second module, in each big group by way of cluster
Split data into multiple groups.
The mode of the cluster is for the cluster mode based on Energy distribution criterion or based on earthquake magnitude-distance criterion cluster side
Formula.
The corresponding ground motion parameter of earthquake motion data of surveying includes at least the title of earthquake, time of origin, measuring platform
Station name, azimuth of vibration, earthquake magnitude, epicentral distance, observation station underground 30m average clearance method, when holding, the time interval of data point.
The corresponding ground motion parameter of the simulating seismic motion data includes at least Acceleration time course data and image, response spectrum
The probability distribution and statistical characteristics of data and image and multiple random parameters and place grouping random parameter, wherein described
Random parameter includes 2 focal shock parameters, place equivalent damping ratio, equivalent circular frequency, 4 empirical parameters and epicentral distance.
A kind of engineering earthquake motion data library device, including database, memory, processor, and it is stored in storage
The program executed in device and by the processor, the processor perform the steps of when executing described program
Step S1: earthquake motion data, the source of base area vibration data, corresponding place and ground motion parameter storage are obtained
Designated position into database, wherein the source of the earthquake motion data includes actual measurement earthquake motion data and simulating seismic motion
Data；
Step S2: after receiving data acquisition instruction, according to the source of the earthquake motion data of required acquisition, corresponding field
Ground and ground motion parameter obtain corresponding data from corresponding grouping and return.
Compared with prior art, the invention has the following advantages:
1) actual measurement earthquake motion data and simulating seismic motion data are enumerated, are met in seismic design of structures and analysis to earthquake
The demand of dynamic data, can be improved the efficiency of data interaction, to improve the effect of Aseismic Design and analysis.
2) database be divided into two layers, frame it is clear, first by earthquake motion data by site classification be 4 groups, counted
According to library first layer, then the database second layer further considers the difference of earthquake motion data under Same Site classification, can provide
The data query and calling more refined improves response speed.
3) the record information of actual measurement earthquake motion data is reflected.
4) probabilistic information of engineering earthquake motion physical model is reflected.
5) image for providing Acceleration time course data and reaction modal data shows and downloads.
6) each grouping constitutes the earthquake motion set with complete probabilistic information, can be directly used for structure with
Machine seismic response analysis and reliability evaluation.
Detailed description of the invention
Fig. 1 is the key step flow diagram of the method for the present invention；
Fig. 2 is the structural schematic diagram of database.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to
Following embodiments.
A kind of data interactive method based on earthquake motion database sharing, this method by way of calculation procedure by
Computer system executes, which includes database, memory, processor, and be stored in memory and by
The program that device executes is managed, as shown in Figure 1, processor performs the steps of when executing program
Step S1: earthquake motion data, the source of base area vibration data, corresponding place and ground motion parameter storage are obtained
Designated position into database, wherein the source of earthquake motion data includes actual measurement earthquake motion data and simulating seismic motion data；
Step S2: after receiving data acquisition instruction, according to the source of the earthquake motion data of required acquisition, corresponding field
Ground and ground motion parameter obtain corresponding data from corresponding grouping and return.
As shown in Fig. 2, earthquake motion database includes the first module for storing actual measurement earthquake motion data, and for storing
Second module of simulating seismic motion data.
Include four big groups for respectively corresponding different places in first module, will be counted by way of cluster in each big group
According to being divided into multiple groups；Include four big groups for respectively corresponding different places in second module, passes through cluster in each big group
Mode splits data into multiple groups.
The mode of cluster is for the cluster mode based on Energy distribution criterion or based on earthquake magnitude-distance criterion cluster mode.
Survey the corresponding ground motion parameter of earthquake motion data include at least the title of earthquake, time of origin, measuring platform station name,
Azimuth of vibration, earthquake magnitude, epicentral distance, observation station underground 30m average clearance method, when holding, the time interval of data point.
The corresponding ground motion parameter of simulating seismic motion data includes at least Acceleration time course data and image, reaction modal data
And the probability distribution and statistical characteristics of image and multiple random parameters and place grouping random parameter, wherein random parameter
Including 2 focal shock parameters, place equivalent damping ratio, equivalent circular frequency, 4 empirical parameters and epicentral distance.
Specifically, for survey earthquake motion data, in " seismic design provision in building code GB50011-2010 " to place class
Other regulation, it is 4 groups that actual measurement seismic motion record, which is pressed site classification, obtains database first layer；It is based respectively on energy point
Cloth criterion and earthquake magnitude-distance criterion seismic motion record Clustering method, are divided into 3 for the seismic motion record under every class place
Group obtains the database second layer.
For surveying part, each seismic motion record, except provide Acceleration time course data and image, reaction modal data and
Outside image, title, time of origin, measuring platform station name, azimuth of vibration, earthquake magnitude, the epicentral distance, Vs30 of corresponding earthquake are also provided
(observation station underground 30m average clearance method), when holding, the time interval of data point.Wherein, response spectrum includes acceleration, speed
Degree and displacement response spectrum, Acceleration time course data and reaction modal data are supported to download.
For analog portion, simulate to obtain corresponding to record earthquake motion database using engineering earthquake motion physical model
12 groups of simulation earthquake motion data.To each simulating seismic motion, except offer Acceleration time course data and image, response spectrum
Outside data and image, 9 random parameter (packets in engineering earthquake motion physical model corresponding to this earthquake motion are also provided
Include: 2 focal shock parameters, place equivalent damping ratio, equivalent circular frequency, 4 empirical parameters and epicentral distance) value and place
It is grouped the probability distribution and statistical characteristics of random parameter.Equally, response spectrum includes acceleration, speed and displacement response spectrum, is added
Speed time course data and reaction modal data are supported to download.
For example, handling in the present embodiment 7778 actual measurement earthquake motion data and 4800 simulating seismic motion data:
1) 7778 strong motion records are all from Pacific Ocean earthquake engineering research center (Pacific Earthquake
Engineering Research Center, abbreviation PEER) NGAWest2 seismic motion record database.These record be from
It is obtained in 156 secondary earthquakes.The earthquake magnitude of selected data, epicentral distance and shear wave velocity span scope are larger: earthquake magnitude range is 4.2-
7.7, epicentral distance range is 0.44km-675.91km, and Vs30 range is 89.3m/s-2100m/s.
2) 4800 simulating seismic motion data are simulated to obtain using engineering earthquake motion physical model, including 100 every
12 groups (small sample groups) of group and 12 groups of 300 every group (large sample group).
Survey earthquake motion data module
In corresponding program interface, at interface, upper right portion does respective packets selection, at Clustering (clustering method)
One column may be selected earthquake motion clustering method based on Energy distribution criterion and based on earthquake magnitude-distance criterion earthquake motion cluster side
Method；The 1st Clustering, the 2nd Clustering and the 3rd Clustering may be selected on Group (cluster group) column；In Site-
I, II, III, IV class place may be selected in the column Type (site category).For example, selection is based on earthquake magnitude-distance criterion cluster side
Method, the 1st group and I class place are clicked " Retrieval ", will be shown in the top half of interface intermediate region (being denoted as main panel)
Show under I class place according to the 1st group of all seismic motion records of earthquake magnitude-distance criterion grouping, including number, corresponding earthquake
Title, time of origin, measuring platform station name, azimuth of vibration, earthquake magnitude, epicentral distance, Vs30 (observation station underground 30m average shear wave
Speed), when holding, the time interval of data point.
The lower right of main interface is to draw and data download function area, including drawing for seismic motion record (i.e. Acceleration time course)
Figure and downloading and the drawing and downloading of response spectrum (acceleration, speed and displacement).1~10 is selected on the top in main panel area
Seismic motion record is being drawn and download function area clicks Time-History button under Record, under main panel area
Portion will show acceleration-time curve；In the value with the Spectrum plate in download function area input damping ratio of drawing, divide
Not Dian Ji Acceleration, Velocity or Displacement button, will be shown accordingly in the lower part in main panel area
Acceleration response spectrum, velocity response spectrum and displacement response spectral curve.Corresponding Download button is clicked, data can be saved
To computer designated position.
Simulating seismic motion data module
It is similar to actual measurement earthquake motion data module, the displaying of data is carried out by exploitation program interface, in interface upper right quarter
Divide and do respective packets selection, the earthquake motion cluster based on Energy distribution criterion may be selected on the column Clustering (clustering method)
Method and based on earthquake magnitude-distance criterion earthquake motion clustering method；The 1st cluster point may be selected on Group (cluster group) column
Group, the 2nd Clustering and the 3rd Clustering；I, II, III, IV class place may be selected on the column Site-Type (site category)；
It may be selected 100 every group or 300 every group on the column Sample-N (sample number).For example, selection is based on earthquake magnitude-distance criterion
Clustering method, the 1st group, I class place and 100 articles every group are clicked " Retrieval ", interface intermediate region (being denoted as main panel)
Top half will show under I class place according to the 1st group of all 100 articles of simulating seismic motions of earthquake magnitude-distance criterion grouping
9 random parameters (include: 2 focal shock parameters, place is equivalent in data, including corresponding engineering earthquake motion physical model
Damping ratio, equivalent circular frequency, 4 empirical parameters and epicentral distance) value and their probability distribution and statistical characteristics.
The lower right of main interface is to draw and data download function area, including drawing for Sample (earthquake ground motion acceleration time-histories)
Figure and downloading and the drawing and downloading of Spectrum (response spectrum).Under Sample plate, when to simulating seismic motion acceleration
There are two types of processing methods, respectively acceleration peak value normalized for journey, corresponding to the Peak in Normalization tabs
Value option and the processing of acceleration peak value mean normalization, corresponding to the Peak Mean in Normalization tabs
Value option.1~10 earthquake motion data is selected on the top in main panel area, is being drawn and download function area Sample plate
Lower selection acceleration peak value standardized method (Peak Value option) clicks Time-History button, in main panel area
Lower part will show acceleration-time curve；Spectrum plate in drawing and download function area inputs the value of damping ratio,
Acceleration, Velocity or Displacement button are clicked on, will be shown accordingly in the lower part in main panel area
Acceleration response spectrum, velocity response spectrum and displacement response spectral curve.Corresponding Download button is clicked, data can be protected
It is stored to computer designated position.
Claims (10)
1. a kind of data interactive method based on earthquake motion database sharing characterized by comprising
Step S1: obtaining earthquake motion data, and the source of base area vibration data, corresponding place and ground motion parameter construct data
Simultaneously store the designated position into database in library, wherein the source of the earthquake motion data includes actual measurement earthquake motion data and mould
Quasi- earthquake motion data；
Step S2: receive data acquisition instruction after, according to the source of the earthquake motion data of required acquisition, corresponding place and
Ground motion parameter obtains corresponding data from corresponding grouping and returns.
2. a kind of data interactive method based on earthquake motion database sharing according to claim 1, feature exist
In the earthquake motion database includes the first module for storing actual measurement earthquake motion data, and for storing simulating seismic motion
Second module of data.
3. a kind of data interactive method based on earthquake motion database sharing according to claim 1, feature exist
In in first module including four and respectively correspond big groups of different places, will be counted by way of cluster in each big group
According to being divided into multiple groups；
Include four big groups for respectively corresponding different places in second module, will be counted by way of cluster in each big group
According to being divided into multiple groups.
4. a kind of data interactive method based on earthquake motion database sharing according to claim 3, feature exist
In the mode of the cluster is for the cluster mode based on Energy distribution criterion or based on earthquake magnitude-distance criterion cluster mode.
5. a kind of data interactive method based on earthquake motion database sharing according to claim 2, feature exist
In, the corresponding ground motion parameter of the actual measurement earthquake motion data include at least the title of earthquake, time of origin, measuring platform station name,
Azimuth of vibration, earthquake magnitude, epicentral distance, observation station underground 30m average clearance method, when holding, the time interval of data point.
6. a kind of data interactive method based on earthquake motion database sharing according to claim 2, feature exist
In the corresponding ground motion parameter of the simulating seismic motion data includes at least Acceleration time course data and image, reaction modal data
And the probability distribution and statistical characteristics of image and multiple random parameters and place grouping random parameter, wherein described random
Parameter includes 2 focal shock parameters, place equivalent damping ratio, equivalent circular frequency, 4 empirical parameters and epicentral distance.
7. a kind of engineering earthquake motion data library device, which is characterized in that including database, memory, processor, Yi Jicun
The program for being stored in memory and being executed by the processor, the processor perform the steps of when executing described program
Step S1: earthquake motion data are obtained, the source of base area vibration data, corresponding place and ground motion parameter are stored to number
According to the designated position in library, wherein the source of the earthquake motion data includes actual measurement earthquake motion data and simulating seismic motion data；
Step S2: receive data acquisition instruction after, according to the source of the earthquake motion data of required acquisition, corresponding place and
Ground motion parameter obtains corresponding data from corresponding grouping and returns.
8. a kind of engineering earthquake motion data library device according to claim 7, which is characterized in that the earthquake motion number
According to the first module that library includes for storing actual measurement earthquake motion data, and the second module for storing simulating seismic motion data.
9. a kind of engineering earthquake motion data library device according to claim 7, which is characterized in that first module
In include four and respectively correspond big groups of different places, multiple groups are splitted data by way of cluster in each big group；
Include four big groups for respectively corresponding different places in second module, will be counted by way of cluster in each big group
According to being divided into multiple groups.
10. a kind of engineering earthquake motion data library device according to claim 9, which is characterized in that the cluster
Mode is for the cluster mode based on Energy distribution criterion or based on earthquake magnitude-distance criterion cluster mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910304266.8A CN110134682A (en) | 2019-04-16 | 2019-04-16 | Data interactive method and data library device based on earthquake motion database sharing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910304266.8A CN110134682A (en) | 2019-04-16 | 2019-04-16 | Data interactive method and data library device based on earthquake motion database sharing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110134682A true CN110134682A (en) | 2019-08-16 |
Family
ID=67570225
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910304266.8A Pending CN110134682A (en) | 2019-04-16 | 2019-04-16 | Data interactive method and data library device based on earthquake motion database sharing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110134682A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113379105A (en) * | 2021-05-21 | 2021-09-10 | 浙江大学 | Site earthquake liquefaction disaster rapid estimation method based on artificial intelligence |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016197013A (en) * | 2015-04-02 | 2016-11-24 | アズビル株式会社 | Building damage intensity estimating system and method |
| CN109299207A (en) * | 2018-10-26 | 2019-02-01 | 中国地震局地球物理研究所 | Earthquake In China based on new media moves parameter zoning map service system |
| CN109613611A (en) * | 2019-01-24 | 2019-04-12 | 河北工业大学 | The determination method and system of input-to-state stabilization for earthquake-resistant structure time-history analysis |
-
2019
- 2019-04-16 CN CN201910304266.8A patent/CN110134682A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016197013A (en) * | 2015-04-02 | 2016-11-24 | アズビル株式会社 | Building damage intensity estimating system and method |
| CN109299207A (en) * | 2018-10-26 | 2019-02-01 | 中国地震局地球物理研究所 | Earthquake In China based on new media moves parameter zoning map service system |
| CN109613611A (en) * | 2019-01-24 | 2019-04-12 | 河北工业大学 | The determination method and system of input-to-state stabilization for earthquake-resistant structure time-history analysis |
Non-Patent Citations (3)
| Title |
|---|
| YANQIONG DING等: "Cluster Analysis of Earthquake Ground-Motion Records and Characteristic Period of Seismic Response Spectrum", 《HTTPS://WWW.TANDFONLINE.COM/DOI/ABS/10.1080/13632469.2018.1453420》 * |
| 何毅良: "基于谱参数的RC框架结构输入地震动选取研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
| 李杰等: "工程随机地震动物理模型的参数统计与检验", 《地震工程与工程振动》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113379105A (en) * | 2021-05-21 | 2021-09-10 | 浙江大学 | Site earthquake liquefaction disaster rapid estimation method based on artificial intelligence |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Small et al. | The SCEC unified community velocity model software framework | |
| Iervolino et al. | Engineering ground motion record selection in the ITalian ACcelerometric Archive | |
| JP5650353B2 (en) | Method and system for obtaining an estimation of seismic event parameters, seismic event search engine | |
| US20050086006A1 (en) | Methods and systems for interactive investigation of geophysical data | |
| CN101271455A (en) | Visible data information application system and its application method | |
| CN101976248A (en) | Method for rapidly identifying environmental risk of power transmission and transformation project | |
| Walter et al. | easyQuake: Putting machine learning to work for your regional seismic network or local earthquake study | |
| CN114238488B (en) | Multi-professional digital fruit integration and data interaction method and system | |
| CN108254784A (en) | A kind of fault recognizing method, apparatus and system based on two-dimension earthquake data | |
| CN108983285A (en) | A kind of a variety of source wavefield analogy methods and device based on moment tensor | |
| Häusler et al. | Fracture network imaging on rock slope instabilities using resonance mode analysis | |
| Galvez et al. | Earthquake cycle modelling of multi-segmented faults: dynamic rupture and ground motion simulation of the 1992 M w 7.3 Landers Earthquake | |
| CN101950031B (en) | Modeling method for Chinese code-based strength reduction factor model | |
| CN110134682A (en) | Data interactive method and data library device based on earthquake motion database sharing | |
| Buckreis et al. | Relational database for California strong ground motions | |
| CHO et al. | Constructing a system to explore shallow velocity structures using a miniature microtremor array—Accumulating and utilizing large microtremor datasets— | |
| CN116306321A (en) | Particle swarm-based adsorbed water treatment scheme optimization method, device and equipment | |
| CN115951404A (en) | Seismic source positioning method and system based on historical data | |
| D'Amico et al. | The new ITalian ACcelerometric Archive ITACA: database, web-services, and tools to access and analyze earthquakes waveforms | |
| CN108733907B (en) | Coupling method for exploring scale sensitivity of cellular automaton model | |
| Braginskaya et al. | An integrated information environment to support geophysical research of the Baikal Rift Zone | |
| CN108761533B (en) | A kind of method, apparatus and system of determining P-S wave velocity ratio | |
| JP2021189134A (en) | Earthquake motion evaluation model generation method, earthquake motion evaluation model generation device, earthquake motion evaluation method, and earthquake motion evaluation device | |
| DRAGOMIR et al. | SPATIAL DATA RESULTING FROM THE AUTOMATION OF THE PERMANENT SEISMIC MONITORING SYSTEM | |
| CN113722412B (en) | Method for inquiring and predicting rock parameters in space dimension |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190816 |