Predicting the Influence of Soil–Structure Interaction on Seismic Responses of Reinforced Concrete F...
Predicting the Influence of Soil–Structure Interaction on Seismic Responses of Reinforced Concrete Frame Buildings Using Convolutional Neural Network
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Author / Creator
Wang, Jishuai , Xie, Yazhou , Guo, Tong and Du, Zhenyu
Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
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 structure portfolios remains a challenging undert...
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Full title
Predicting the Influence of Soil–Structure Interaction on Seismic Responses of Reinforced Concrete Frame Buildings Using Convolutional Neural Network
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_fbbcacbae8f341658e905ae8c752cc2f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fbbcacbae8f341658e905ae8c752cc2f
Other Identifiers
ISSN
2075-5309
E-ISSN
2075-5309
DOI
10.3390/buildings13020564
