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

Joo Ha Lee; Young Soo Yoon

doi:10.1061/(ASCE)0887-3801(2009)23:1(57)

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

Joo Ha Lee, Young Soo Yoon

Research output: Contribution to journal › Article › peer-review

26 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 language	English
Pages (from-to)	57-61
Number of pages	5
Journal	Journal of Computing in Civil Engineering
Volume	23
Issue number	1
DOIs	https://doi.org/10.1061/(ASCE)0887-3801(2009)23:1(57)
Publication status	Published - 2009

Keywords

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

ASJC Scopus subject areas

Civil and Structural Engineering
Computer Science Applications

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10.1061/(ASCE)0887-3801(2009)23:1(57)

Cite this

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

Abstract

Keywords

ASJC Scopus subject areas

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