Two-stage prediction of drift ratio limits of corroded RC columns based on interpretable machine learning methods

Two-stage prediction of drift ratio limits of corroded RC columns based on interpretable machine learning methods

RC columns exposed to harsh environments are susceptible to internal reinforcement corrosion, leading to a reduction in lateral deformation capacity. The accurate prediction of drift ratio limits (DRLs) for corroded RC columns (CRCCs) across various damage states is crucial for reliable damage asses...

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Bibliographic Details
Main Authors: Yan Zhou, Yizhi Qiu, Liuzhuo Chen
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Developments in the Built Environment
Subjects:
Corroded RC column
Failure mode
Drift ratio
Machine learning
SHAP interpretability
Online Access:http://www.sciencedirect.com/science/article/pii/S2666165924002692
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