A clustering-based analysis method for simulating seismic damage of buildings in large cities

Earthquakes are major threats to cities. Refined simulations of urban earthquake damage are significant for disaster prevention planning, including post-earthquake emergency rescue operations. However, this approach is time-consuming and computationally demanding. This study presents a novel machine...

Celý popis

Podrobná bibliografia

Vydané v:	Engineering structures Ročník 307; s. 117860
Hlavní autori:	Chen, Xianan, Zhang, Lingxin, Lin, Xuchuan, Skalomenos, Konstantinos A., Chen, Zifeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.05.2024
Predmet:	Batch clustering algorithm Clustering algorithms Machine learning Seismic damage simulation Urban building groups Urban building groups Batch clustering algorithm Clustering algorithms Seismic damage simulation Machine learning
ISSN:	0141-0296, 1873-7323
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!