Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Underground seismic oscillation amplitude parameter prediction method

A prediction method and ground motion technology, applied in neural learning methods, special data processing applications, biological neural network models, etc., can solve the problem of lack of ground motion amplitude variation along the depth and so on.

Active Publication Date: 2020-09-25
HARBIN INST OF TECH
View PDF12 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a method for predicting the amplitude parameter of underground earthquakes in view of the lack of methods in the prior art that can predict the law of the amplitude of the earthquake along the depth.

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
  • Underground seismic oscillation amplitude parameter prediction method
  • Underground seismic oscillation amplitude parameter prediction method
  • Underground seismic oscillation amplitude parameter prediction method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0022] Specific embodiment one: reference figure 1 To describe this embodiment in detail, the method for predicting the amplitude parameter of underground ground motion described in this embodiment includes the following steps:

[0023] Step 1: Obtain underground and surface records, and establish an underground ground motion data set, and then use the magnitude, epicenter distance, station depth, surface amplitude parameters, quality factors and soil shear wave velocity distribution as input parameters of the deep neural network. Take underground peak acceleration PUA, underground peak velocity PUV and underground peak plus displacement PUD as the output parameters of the deep neural network;

[0024] Step 2: Divide the ground motion data set into training set, verification set and test set according to the ratio of 8:1:1;

[0025] Step 3: First standardize the input parameters to the range of [0,1], then construct three deep neural network models based on PUA, PUV and PUD, and use ...

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 discloses an underground seismic oscillation amplitude parameter prediction method, and relates to the technical field of seismic engineering, the problem that a method capable of predicting the change rule of the amplitude of seismic oscillation along the depth does not exist in the prior art is solved. The prediction of the underground seismic oscillation amplitude parameters aimsto improve an underground structure anti-seismic design method, namely the selection of the amplitude parameters in a reaction displacement method and further simulate the influence of the horizontalseismic action on the underground structure, and the potential damage potential of the seismic oscillation is reflected through the adjusted seismic oscillation parameters. According to the method, the change rule of the seismic oscillation amplitude along the depth is reflected through the prediction result of the underground seismic oscillation. According to the method, the amplitude parameter at any underground depth can be quantitatively obtained according to the amplitude parameter of the ground surface and the effective information of the site, so that the error caused by the predictionmethod can be quantitatively measured.

Description

Technical field [0001] The invention relates to the technical field of seismic engineering, in particular to a method for predicting the amplitude parameters of underground ground motions. Background technique [0002] With the large-scale development of urban underground space, people’s attention has been paid to the seismic resistance of underground structures. The response displacement method, the most commonly used seismic design method for underground structures, needs to select appropriate amplitude parameters, which involves underground earthquakes. The problem of the law of dynamic amplitude along the depth. [0003] So far, the seismic design of underground structures usually takes the amplitude parameters of the ground surface, or in accordance with the "Code for Seismic Design of Underground Structures": the seismic action at the bedrock may be 1 / 2 of the ground surface, and the depth from the ground to the bedrock may be Determine by interpolation method or perform inv...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/13G06N3/04G06N3/08
CPCG06F30/13G06N3/08G06N3/045Y02A90/10
Inventor 温卫平翟长海籍多发董凯月
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products