Predicting the Influence of Soil–Structure Interaction on Seismic Responses of Reinforced Concrete Frame Buildings Using Convolutional Neural Network

Predicting the Influence of Soil–Structure Interaction on Seismic Responses of Reinforced Concrete Frame Buildings Using Convolutional Neural Network

Most regional seismic damage assessment (RSDA) methods are based on the rigid-base assumption to ensure evaluating efficiency, while these practices introduce factual errors due to neglecting the soil–structure interaction (SSI). Predicting the influence of the SSI on seismic responses of regionwide...

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Bibliographic Details
Main Authors: Jishuai Wang, Yazhou Xie, Tong Guo, Zhenyu Du
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Buildings
Subjects:
soil–structure interaction
regional seismic damage assessment
RC frame
machine learning
convolutional neural network
Online Access:https://www.mdpi.com/2075-5309/13/2/564

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