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Rapid assessment of bridge post-earthquake response using unsupervised clustering and probabilistic machine learning under large-scale Kik-net data

delete2026-06-16
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PRE
AI
C
Chunde Lu
X
Xiaohong Long
Y
Yongtao Ma *
X
Xiaopeng Gu
DOI:10.1016/j.soildyn.2026.110471delete
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Abstract

Abstract

En 中文
• Rapid bridge post-earthquake response assessment using large-scale Kik-Net data. • Unsupervised ground-motion clustering improves training efficiency and generalizability. • Probabilistic ML enables real-time EDP prediction with uncertainty quantification.

Journal

Soil Dynamics and Earthquake Engineering cover
Soil Dynamics and Earthquake Engineering
IF:
4.6
Papers:
7.4K
Citations:
2.5W

Organization

H
huazhong university of science and technology
Scholars:
2.3W
Papers: 7.2K
Citations: 5
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