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contributor authorLiyungu, Joshua
contributor authorYu, Bin
date accessioned2026-08-20T11:33:39Z
date available2026-08-20T11:33:39Z
date copyright2026/02/26
date issued2026
identifier otherJMCEE7.MTENG-20714.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312374
description abstractAbstractThe compressive strength of crumb rubberized concrete (CRC) is vital for its structural performance and sustainability. This study integrates XGBoost machine learning with advanced regression and visualization techniques to optimize CRC strength ...Practical ApplicationThis study provides actionable guidance for engineers, contractors, and construction professionals seeking to design sustainable CRC with predictable strength performance. Using advanced machine learning techniques, including XGBoost ...
publisherAmerican Society of Civil Engineers
titleOptimizing Compressive Strength of Crumb Rubber Concrete for Sustainable Construction Using XGBoost and Conceptual Strength Profiles
typeJournal Article
journal volume38
journal issue5
journal titleJournal of Materials in Civil Engineering
identifier doi10.1061/JMCEE7.MTENG-20714
journal fristpage04026089-1
journal lastpage04026089-37
page37
treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 005
contenttypeFulltext


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