Unlock instant, AI-driven research and patent intelligence for your innovation.

Method and system for identifying finite fault fracture parameters of earthquake

A fault, limited technology, applied in the field of earthquake monitoring, which can solve problems such as high computational complexity and long computational time

Active Publication Date: 2021-08-24
UNIV OF SCI & TECH OF CHINA
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the present disclosure provides a method and system for identifying earthquake limited fault rupture parameters, which are used to at least partially solve the technical problems of traditional calculation methods such as long calculation time and high calculation complexity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for identifying finite fault fracture parameters of earthquake
  • Method and system for identifying finite fault fracture parameters of earthquake
  • Method and system for identifying finite fault fracture parameters of earthquake

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0030] We propose a method based on deep convolutional neural networks to quickly identify earthquake-finite fault rupture parameters. Convolution Neural Network (CNN) is a feed-forward neural network that starts from the input layer and advances layer by layer. Each layer receives the previous layer as input and outputs to the next layer until the end. The output layer of the network is a directed acyclic network. A deep convolutional neural network means that there are many convolutional layers between the input layer and the output layer. Deep convolutional neural networks have excellent performance in computer vision and natural language processing. Here, we will apply the powerful image recognition capabilities...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method for identifying finite fault fracture parameters of an earthquake. The method comprises the following steps of acquiring a spatial distribution diagram of peak acceleration values in an earthquake diagram; establishing a spatial distribution diagram database of the seismic finite fault peak acceleration values according to the spatial distribution diagram of the peak acceleration values; training a deep convolutional neural network according to the spatial distribution diagram database; and calculating the seismic finite fault fracture parameters through the deep convolutional neural network. According to the method provided by the invention, the deep convolutional neural network is used for identification through the pre-established spatial distribution diagram database of the peak acceleration values, so that the finite fault fracture parameters of the earthquake can be quickly and automatically obtained.

Description

technical field [0001] The present disclosure relates to the technical field of earthquake monitoring, and in particular to a method and system for identifying earthquake limited fault rupture parameters. Background technique [0002] During the evolution of the earth, plate movement has changed the structure of the crust and lithosphere. When the force exceeds the strength of the rock formation, rupture occurs, and the continuity of the rock formation is broken to form a fault. Faults are weak zones in the earth's crust, and the breeding and occurrence of tectonic earthquakes is an important manifestation of faulting. In traditional earthquake monitoring, point source models are usually used to calculate and analyze the characteristics of earthquakes and the scope of impact of earthquake disasters. For earthquakes with magnitude greater than 6, the calculation and analysis of earthquake occurrence using the point source model is not enough to describe the complexity of li...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01V1/28G01V1/30G06N3/04G06N3/08
CPCG01V1/307G01V1/306G01V1/282G06N3/08G06N3/045
Inventor 张捷朱慧宇
Owner UNIV OF SCI & TECH OF CHINA