Machine Learning-Based Methods for the Seismic Damage Classification of RC Buildings

This paper aims to investigate the feasibility of machine learning methods for the vulnerability assessment of buildings and structures. Traditionally, the seismic performance of buildings and structures is determined through a non-linear time–history analysis, which is an accurate but time-consumin...

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Bibliographic Details
Main Author: Sung Hei Luk
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/15/14/2395
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