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Modified Harmony Search Algorithm and Neural Networks for Concrete Mix Proportion Design
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Joo-Ha | - |
| dc.contributor.author | Yoon, Young-Soo | - |
| dc.date.accessioned | 2021-09-08T21:09:23Z | - |
| dc.date.available | 2021-09-08T21:09:23Z | - |
| dc.date.created | 2021-06-10 | - |
| dc.date.issued | 2009-01 | - |
| dc.identifier.issn | 0887-3801 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/120842 | - |
| dc.description.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. | - |
| dc.language | English | - |
| dc.language.iso | en | - |
| dc.publisher | ASCE-AMER SOC CIVIL ENGINEERS | - |
| dc.subject | HIGH-PERFORMANCE CONCRETE | - |
| dc.subject | COMPRESSIVE STRENGTH | - |
| dc.subject | PREDICTION | - |
| dc.title | Modified Harmony Search Algorithm and Neural Networks for Concrete Mix Proportion Design | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Yoon, Young-Soo | - |
| dc.identifier.doi | 10.1061/(ASCE)0887-3801(2009)23:1(57) | - |
| dc.identifier.scopusid | 2-s2.0-58149230898 | - |
| dc.identifier.wosid | 000263969700008 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF COMPUTING IN CIVIL ENGINEERING, v.23, no.1, pp.57 - 61 | - |
| dc.relation.isPartOf | JOURNAL OF COMPUTING IN CIVIL ENGINEERING | - |
| dc.citation.title | JOURNAL OF COMPUTING IN CIVIL ENGINEERING | - |
| dc.citation.volume | 23 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 57 | - |
| dc.citation.endPage | 61 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article; Proceedings Paper | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
| dc.subject.keywordPlus | HIGH-PERFORMANCE CONCRETE | - |
| dc.subject.keywordPlus | COMPRESSIVE STRENGTH | - |
| dc.subject.keywordPlus | PREDICTION | - |
| dc.subject.keywordAuthor | Optimization models | - |
| dc.subject.keywordAuthor | Computer aided design | - |
| dc.subject.keywordAuthor | High strength concrete | - |
| dc.subject.keywordAuthor | Material properties | - |
| dc.subject.keywordAuthor | Compressive strength | - |
| dc.subject.keywordAuthor | Algorithms | - |
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