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...

Full description

Bibliographic Details

Published in:	Structures (Oxford) Vol. 66; p. 106858
Main Authors:	Cheng, Hao, Yu, Bo
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2024
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!