Building's Vulnerability Assessment against Natural Hazards by Using Modern Computational Techniques

Recent global events have underscored the critical need for advancing research on buildings and fortifying their resilience against the escalating threat of natural hazards. One paramount task in this pursuit is the rapid and precise assessment of existing buildings' vulnerability to natural hazard...

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Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Matèries:	response spectrum rapid damage assessment remote sensing deep learning historical heritage finite element analysis damage assessment minaret rapid assessment machine learning seismic vulnerability Django damage classification seismic fragility analysis dual surrogate model Kriging model active learning mega-frame with vibration control substructure architectural seismic risk probability of exceedance strengthening steel reinforced concrete mechanical steel stitches shear Eastern Turkey adaptive pushover design spectra Bitlis simplified design rules earthquake linear method nonlinear method performance analysis AHP building attributes flood risk assessment GIS building material concrete compressive strength neural network slime mold algorithm Pazarcık-Elbistan earthquakes Diyarbakir pushover analysis damage limits Eurocode thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology::MKGW Psychopharmacology
Accés en línia:	ONIX_20240514_9783725804856_319
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Building's Vulnerability Assessment against Natural Hazards by Using Modern Computational Techniques

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