Machine learning prediction models for ground motion parameters and seismic damage assessment of buildings at a regional scale

Machine learning prediction models for ground motion parameters and seismic damage assessment of buildings at a regional scale

This study examines the feasibility of using a machine learning approach for rapid damage assessment of reinforced concrete (RC) buildings after the earthquake. Since the real-world damaged datasets are lacking, have limited access, or are imbalanced, a simulation dataset is prepared by conducting a...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Sanjeev Bhatta, Xiandong Kang, Ji Dang
Fformat:	Erthygl
Iaith:	English
Cyhoeddwyd:	Elsevier 2024-03-01
Cyfres:	Resilient Cities and Structures
Pynciau:	Seismic damage prediction Ground motion parameter Machine learning algorithms Nonlinear time history analysis RC buildings
Mynediad Ar-lein:	http://www.sciencedirect.com/science/article/pii/S2772741624000048

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