Prediction of triaxial behavior of recycled aggregate concrete using multivariable regression and artificial neural network techniques-Reference-Cited by-同舟云学术

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Prediction of triaxial behavior of recycled aggregate concrete using multivariable regression and artificial neural network techniques

Published:2019-11 Issue: Volume:226 Page:534-554
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Xu Jinjun,Chen Yuliang,Xie Tianyu^ORCID,Zhao Xinyu,Xiong Beibei,Chen Zongping

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

Fund of State Key Laboratory of Subtropical Building Science of China

Science and Technology Base and Talent Special Project of Guangxi

High Level Innovation Group and Outstanding Scholar Program Project of Guangxi High Education

Publisher

Elsevier BV

Subject

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

Reference100 articles.

1. Seismic performance of circular recycled aggregate concrete-filled steel tubular columns: FEM modelling and sensitivity analysis;Xu;Thin-Walled Struct.,2019

2. Recycling and reuse of construction and demolition waste in concrete-filled steel tubes: a review;Chen;Constr. Build. Mater.,2016

3. Recycled aggregate concrete in FRP-confined columns: a review of experimental results;Xu;Compos. Struct.,2017

4. Toward the development of sustainable concretes with recycled concrete aggregates: comprehensive review of studies on mechanical properties;Xie;J. Mater. Civ. Eng.,2018

5. Statistical modeling of carbonation in concrete incorporating recycled aggregates;Silva;J. Mater. Civ. Eng.,2016

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