Shear capacity estimation of fully grouted reinforced concrete masonry walls using neural network and adaptive neuro-fuzzy inference system models-Reference-Cited by-同舟云学术

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Shear capacity estimation of fully grouted reinforced concrete masonry walls using neural network and adaptive neuro-fuzzy inference system models

Published:2017-10 Issue: Volume:153 Page:937-947
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Zhou Qiang,Zhu Fei,Yang Xu,Wang Fenglai,Chi Bin,Zhang Zhiming

Funder

National Key R&D Plan-China

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference42 articles.

1. Influence of confinement reinforcement on the compression stress–strain of grouted reinforced concrete block masonry boundary elements;Abo El Ezz;Struct.,2015

2. Model error and structural reliability for reinforced concrete block masonry walls in shear;Zhai;Adv. Struct. Eng.,2012

3. Experimental analysis of reinforced concrete block masonry walls subjected to in-plane cyclic loading;Haach;J. Struct. Eng.,2010

4. Prediction of the moment capacity of reinforced concrete slabs in fire using artificial neural networks;Erdem;Adv. Eng. Softw.,2010

5. Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete;Özcan;Adv. Eng. Softw.,2009

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