Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network-Reference-Cited by-同舟云学术

Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

Published:2016-08 Issue: Volume:119 Page:277-287
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Mashhadban Hadi,Kutanaei Saman Soleimani,Sayarinejad Mohammad Ali

Publisher

Elsevier BV

Subject

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

Reference32 articles.

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4. Mechanical, durability and microstructural characteristics of ultrahigh-strength self-compacting concrete incorporating steel fibers;El-Dieb;Mater. Des.,2009

5. Flow characteristic and acceptance criteria of fiber reinforced self-compacted concrete (FR-SCC);El-Dieb;Constr. Build. Mater.,2012

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