| dc.contributor.author | Hammoud, Ahmad | |
| dc.contributor.author | Karaki, Ayman | |
| dc.contributor.author | Dujovic, Milos | |
| dc.contributor.author | Battalgazy, Bekassyl | |
| dc.contributor.author | Arroyave, Raymundo | |
| dc.contributor.author | Masad, Eyad | |
| dc.date.accessioned | 2026-08-20T21:25:21Z | |
| dc.date.available | 2026-08-20T21:25:21Z | |
| dc.date.copyright | 2026/03/19 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JCCEE5.CPENG-6748.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314425 | |
| dc.description.abstract | AbstractDeveloping concrete mix designs that enhance structural performance while reducing
environmental impact is vital for achieving sustainable construction. This study utilizes
multiobjective optimization and machine learning (ML) that aim to reduce ...Practical ApplicationsThis study provides a practical framework for engineers and project teams to design
concrete that balances strength with a reduced carbon footprint. Using more than one
thousand real mix records, machine learning models predict ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Sustainable Concrete Mix Designs: Multiobjective Optimization through Machine Learning Approaches | |
| dc.type | Journal Article | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 4 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-6748 | |
| dc.journal.fristpage | 04026033-1 | |
| dc.journal.lastpage | 04026033-15 | |
| dc.page | 15 | |
| dc.tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004 | |
| dc.contenttype | Fulltext | |