Seismic fragility analysis using nonlinear autoregressive neural networks with exogenous input

Autor:	Priyank Jaiswal, Mohamed Soliman, Jennifer S. Haase, Omid Khandel, Imran Ahmed Sheikh
Rok vydání:	2021
Předmět:	021110 strategic defence & security studies Mathematical optimization Artificial neural network Computer science Mechanical Engineering Structural system 0211 other engineering and technologies 020101 civil engineering Ocean Engineering 02 engineering and technology Building and Construction Geotechnical Engineering and Engineering Geology Incremental Dynamic Analysis Finite element method 0201 civil engineering Nonlinear system Fragility Autoregressive model Structural health monitoring Safety Risk Reliability and Quality Civil and Structural Engineering
Zdroj:	Structure and Infrastructure Engineering. 18:1251-1265
ISSN:	1744-8980 1573-2479
Popis:	Rapidly growing societal needs in urban areas are increasing the demand for tall buildings with complex structural systems. Many of these buildings are located in areas characterized by high seismi...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e73a06d05fc9e59234d013dab2a009bc https://doi.org/10.1080/15732479.2021.1894184 Zobrazit plný text záznamu