Physics-based natural gradient boosting probabilistic prediction model for seismic failure modes of reinforced concrete columns

A novel physics-based natural gradient boosting (PNGB) probabilistic prediction model for flexure failure (FF), flexure-shear failure (FSF) and shear failure (SF) of reinforced concrete (RC) columns under strong earthquakes has been developed to address the limitations of empirical and machine learn...

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Vydané v:	Structures (Oxford) Ročník 66; s. 106858
Hlavní autori:	Cheng, Hao, Yu, Bo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2024
Predmet:	Generalization performance Natural gradient boosting Physical laws Probabilistic prediction model Seismic failure modes Seismic failure modes Natural gradient boosting Generalization performance Physical laws Probabilistic prediction model
ISSN:	2352-0124, 2352-0124
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