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Compressive strength prediction of recycled concrete based on deep learning

  • Published:2018-06 Issue: Volume:175 Page:562-569
  • ISSN:0950-0618
  • Container-title:Construction and Building Materials
  • language:en
  • Short-container-title:Construction and Building Materials

Author:

Deng Fangming,He Yigang,Zhou Shuangxi,Yu Yun,Cheng Haigen,Wu Xiang

Funder

Natural Science Foundation of China

National Natural Science Foundation of China

Equipment Research Key Project in Advance

Natural Science Foundation of Jiangxi Province

Science and Technology Project of Education Department of Jiangxi Province

Publisher

Elsevier BV

Subject

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

Reference32 articles.

1. The influence of the use of recycled aggregates on the compressive strength of concrete: a review;Silva;Eur. J. Environ. Civil Eng.,2015

2. Concrete with fine recycled aggregates: a review;Evangelista;Eur. J. Environ. Civil Eng.,2014

3. Performance related approach to use of recycled aggregates. WRAP Final Report;Kartheeban;Eur. J. Psychol. Educ.,2007

4. Experimental analysis of properties of high performance recycled aggregate concrete;Andreu;Constr. Build. Mater.,2014

5. Mechanical and elastic behaviour of concretes made of recycled-concrete coarse aggregates;Corinaldesi;Constr. Build. Mater.,2010
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