Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks-Reference-Cited by-同舟云学术

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

Published:2013-01 Issue: Volume:38 Page:717-722
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Dantas Adriana Trocoli Abdon,Batista Leite Mônica,de Jesus Nagahama Koji

Funder

CAPES

Publisher

Elsevier BV

Subject

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

Reference31 articles.

1. National Council on the Environment (CONAMA). Resolution N° 307, Brazil; 2002 [in Portuguese].

2. Leite MB. Evaluation of mechanical properties of concrete produced with recycled aggregates from construction and demolition waste, Porto Alegre. Thesis (Ph.D.). University of Rio Grande do Sul; 2001. 270p. [in Portuguese].

3. Vieira GL. Study of the corrosion process under the action of chloride ions in concrete made from recycled aggregates from construction and demolition waste, Porto Alegre. Dissertation (Strictu Sensu). University of Rio Grande do Sul; 2003. 151p. [in Portuguese].

4. Cabral AEB. Modeling of mechanical properties and durability of concrete produced with recycled aggregates, considering the variability of the composition of the CDW, São Carlos. Thesis (Ph.D.). School of Engineering of Sao Carlos – University of São Paulo; 2007. 280p. [in Portuguese].

5. Lovato PS. Verification of control parameters of recycled aggregates from construction and demolition waste for use in concrete, Porto Alegre. Dissertation (Strictu Sensu) – University of Rio Grande do Sul; 2007. 182p. [in Portuguese].

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