Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach-Reference-Cited by-同舟云学术

Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach

Published:2021-07 Issue: Volume:291 Page:123314
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Golafshani Emadaldin Mohammadi,Behnood Ali^ORCID

Publisher

Elsevier BV

Subject

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

Reference75 articles.

1. Predicting the compressive strength of self-compacting concrete containing fly ash using a hybrid artificial intelligence method;Golafshani;Computers and Concrete.,2018

2. A review on fly ash characteristics – Towards promoting high volume utilization in developing sustainable concrete;Hemalatha;J. Cleaner Prod.,2017

3. Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm;Behnood;Constr. Build. Mater.,2017

4. Estimating the optimal mix design of silica fume concrete using biogeography-based programming;Golafshani;Cem. Concr. Compos.,2019

5. Utilization of silica fume in concrete: Review of hardened properties;Siddique;Resour. Conserv. Recycl.,2011

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