Prediction of the residual flexural strength of fiber reinforced concrete using artificial neural networks-Reference-Cited by-同舟云学术

Prediction of the residual flexural strength of fiber reinforced concrete using artificial neural networks

Published:2021-10 Issue: Volume:303 Page:124502
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Congro Marcello,Monteiro Vitor Moreira de Alencar,Brandão Amanda L.T.,Santos Brunno F. dos,Roehl Deane,Silva Flávio de Andrade

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Elsevier BV

Subject

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

Reference109 articles.

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2. 360R–06R, Design of Slabs-on-Ground;ACI;ACI Committee 360,2006

3. 544.4R, Guide to Design with Fiber-Reinforced Concrete;ACI;ACI Committee 544,2018

4. Design aspects on steel fiber-reinforced concrete pavements;Belletti;Journal of Materials in Civil Engineering,2008

5. Fédération Internationale du Béton (CEB-FIP), Model Code. Vol. 1 (2010).

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