Modeling chloride penetration in self-consolidating concrete using artificial neural network combined with artificial bee colony algorithm-Reference-Cited by-同舟云学术

Modeling chloride penetration in self-consolidating concrete using artificial neural network combined with artificial bee colony algorithm

Published:2019-03 Issue: Volume:22 Page:216-226
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Najimi Meysam,Ghafoori Nader,Nikoo Mehdi^ORCID

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference53 articles.

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3. AASHTO TP64-03: Standard Method of Test for Prediction of Chloride Penetration in Hydraulic Cement Concrete by the Rapid Migration Procedure;AASHTO,2003

4. J. Abdalhmid, M. Mahgub, A.F. Ashour, D. Lam, T. Sheehan, Prediction of drying shrinkage of self-compacting concrete using artificial neural networks. in: Proceedings of the 34th Cement and Concrete Science Conference, University of Sheffield, paper No. 188, 2014, p. 6 pages.

5. ASTM C 1202: Standard Test Method for Electrical Indication of Concrete's Ability to Resist Chloride Ion Penetration;ASTM,2012

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