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Modified Harmony Search Algorithm and Neural Networks for Concrete Mix Proportion Design
- Authors
- Lee, Joo-Ha; Yoon, Young-Soo
- Issue Date
- 1월-2009
- Publisher
- ASCE-AMER SOC CIVIL ENGINEERS
- Keywords
- Optimization models; Computer aided design; High strength concrete; Material properties; Compressive strength; Algorithms
- Citation
- JOURNAL OF COMPUTING IN CIVIL ENGINEERING, v.23, no.1, pp.57 - 61
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Volume
- 23
- Number
- 1
- Start Page
- 57
- End Page
- 61
- ISSN
- 0887-3801
- 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.
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