Modified harmony search algorithm and neural networks for concrete mix proportion design

Joo Ha Lee, Young Soo Yoon

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

This study proposes a new methodology with harmony search (HS) algorithm and neural networks (NNs) for concrete mix proportioning. The basic procedure for the methodology consists of four steps: (1) constructing a database of mix designs; (2) establishing appropriate models for strength and workability; (3) optimizing mix proportion using the modified HS algorithm; and (4) refining the mixture using NNs. The proposed methodology could be a useful decision-making tool for concrete mix design.

Original languageEnglish
Pages (from-to)57-61
Number of pages5
JournalJournal of Computing in Civil Engineering
Volume23
Issue number1
DOIs
Publication statusPublished - 2009 Jan 12

Fingerprint

Concrete mixtures
Neural networks
Refining
Decision making

Keywords

  • Algorithms
  • Compressive strength
  • Computer aided design
  • High strength concrete
  • Material properties
  • Optimization models

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering

Cite this

Modified harmony search algorithm and neural networks for concrete mix proportion design. / Lee, Joo Ha; Yoon, Young Soo.

In: Journal of Computing in Civil Engineering, Vol. 23, No. 1, 12.01.2009, p. 57-61.

Research output: Contribution to journalArticle

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