Invention Grant
- Patent Title: Performance-level seismic motion hazard analysis method based on three-layer dataset neural network
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Application No.: US17211891Application Date: 2021-03-25
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Publication No.: US11215719B2Publication Date: 2022-01-04
- Inventor: Wenfeng Liu , Zheng Zhou , Jianfeng Li
- Applicant: QINGDAO UNIVERSITY OF TECHNOLOGY
- Applicant Address: CN Qingdao
- Assignee: QINGDAO UNIVERSITY OF TECHNOLOGY
- Current Assignee: QINGDAO UNIVERSITY OF TECHNOLOGY
- Current Assignee Address: CN Qingdao
- Agency: Bayramoglu Law Offices LLC
- Priority: CN202010236208.9 20200330
- Main IPC: G01V1/00
- IPC: G01V1/00 ; G06N3/04 ; G01V1/30 ; G06N7/00 ; G06N3/08

Abstract:
A performance-level seismic motion hazard analysis method includes: (1) extracting seismic motion data and denoising the data; (2) extracting feature parameters from the data, and carrying out initialization; (3) generating a training set, an interval set and a test set; (4) training a multi-layer neural network based on the training set; (5) training output values of the neural network based on the interval set, and calculating a mean and a standard deviation of relative errors of the output values; (6) training the neural network based on the test set to determine output values, and calculating a magnitude interval based on an interval confidence; (7) carrying out probabilistic seismic hazard analysis to determine an annual exceeding probability and a return period of a performance-level seismic motion; and (8) determining a magnitude and an epicentral distance that reach the performance-level seismic motion based on the performance-level seismic motion and consistent probability.
Public/Granted literature
- US20210302603A1 PERFORMANCE-LEVEL SEISMIC MOTION HAZARD ANALYSIS METHOD BASED ON THREE-LAYER DATASET NEURAL NETWORK Public/Granted day:2021-09-30
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