Identification of Near-Fault Impulsive Signals and Their Initiation and Termination Positions with Convolutional Neural Networks
Ground motions recorded in near-fault regions may contain pulse-like traces in the velocity domain. Their long periodicity can identify such signals with large amplitudes. Impulsive signals can be hazardous for buildings, creating large demands due to their long periods. In this study, a dataset was...
Main Authors: | Deniz Ertuncay, Andrea De Lorenzo, Giovanni Costa |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
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Series: | Geosciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3263/11/9/388 |
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