Show simple item record

dc.contributor.authorShakeri, Ali A.
dc.contributor.authorBonyadi, Mehran
dc.contributor.authorDastan Diznab, Mohammad Ali
dc.contributor.authorDardaei, Sadegh
dc.contributor.authorTehrani, Fariborz M.
dc.date.accessioned2026-08-20T11:38:38Z
dc.date.available2026-08-20T11:38:38Z
dc.date.copyright2026/05/17
dc.date.issued2026
dc.identifier.otherJMCEE7.MTENG-21218.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312478
dc.description.abstractAbstractThis study introduces a computational framework for multiobjective optimization of concrete curing, specifically designed to address practical construction challenges while simultaneously enhancing durability and compressive strength and, ...Practical ApplicationsThis study provides a practical decision-support tool for optimizing concrete curing practices in real-world construction projects. By integrating experimental data and a genetic algorithm, engineers can now predict the durability ...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Computational Framework for Concrete Durability, Strength, and Eco-Environmental Issues Optimization Using Genetic Algorithms
dc.typeJournal Article
dc.journal.volume38
dc.journal.issue8
dc.journal.titleJournal of Materials in Civil Engineering
dc.identifier.doi10.1061/JMCEE7.MTENG-21218
dc.journal.fristpage04026219-1
dc.journal.lastpage04026219-30
dc.page30
dc.treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 008
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record