articleTop 1% cited
Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach
Engineering Structures · 2020 · Vol. 219 · pp. 110927–110927
Sujith Mangalathu(Equifax (United States))Seong‐Hoon Hwang(Hanyang University)Jong‐Su Jeon✉(Hanyang University)
Infrastructure Maintenance and MonitoringConcrete Corrosion and DurabilityStructural Health Monitoring TechniquesFailure mode and effects analysisMode (computer interface)Random forestIdentification (biology)Machine learningComputer scienceArtificial intelligenceRank (graph theory)ReinforcementSample (material)
Funding
- National Research Foundation of Korea
Citations
929
FWCI
50.62
field-weighted impact
References
29
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100%
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References
Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques
Engineering Structures · 2018 · 339 citations
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