Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm-Reference-Cited by-同舟云学术

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Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

Published:2020-08 Issue: Volume:45 Page:101126
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Feng De-Cheng,Liu Zhen-Tao,Wang Xiao-Dan,Jiang Zhong-Ming,Liang Shi-Xue

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Open Foundation of Engineering Research Center of Construction Technology of Precast Concrete of Zhejiang Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference71 articles.

1. C.-L. Ning, D.-C. Feng, Probabilistic indicator to classify the failure mode of reinforced concrete columns, Magazine Concr. Res. (2018).

2. Failure mode classification of reinforced concrete column using fisher method;Qi;J. Central South Univ.,2013

3. Classification and seismic safety evaluation of existing reinforced concrete columns;Zhu;J. Struct. Eng.,2007

4. Strength prediction for discontinuity regions by softened strut-and-tie model;Hwang;J. Struct. Eng.,2002

5. Shear strength model for lightly reinforced concrete columns;Sezen;J. Struct. Eng.,2004

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