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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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Guardado en:
Formato: Online
Lenguaje:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2024
Materias:
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
Acceso en línea:ONIX_20240514_9783725804856_319
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