Modified Harmony Search Algorithm and Neural Networks for Concrete Mix Proportion Design
Publication: Journal of Computing in Civil Engineering
Volume 23, Issue 1
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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Acknowledgments
This work was supported by a Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (No. R0A-2007-000-20031-0).
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Information & Authors
Information
Published In
Journal of Computing in Civil Engineering
Volume 23 • Issue 1 • January 2009
Pages: 57 - 61
Copyright
© 2009 ASCE.
History
Received: Dec 5, 2007
Accepted: Jul 23, 2008
Published online: Jan 1, 2009
Published in print: Jan 2009
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