| contributor author | Liyungu, Joshua | |
| contributor author | Yu, Bin | |
| date accessioned | 2026-08-20T11:33:39Z | |
| date available | 2026-08-20T11:33:39Z | |
| date copyright | 2026/02/26 | |
| date issued | 2026 | |
| identifier other | JMCEE7.MTENG-20714.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312374 | |
| description abstract | AbstractThe 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | Optimizing Compressive Strength of Crumb Rubber Concrete for Sustainable Construction Using XGBoost and Conceptual Strength Profiles | |
| type | Journal Article | |
| journal volume | 38 | |
| journal issue | 5 | |
| journal title | Journal of Materials in Civil Engineering | |
| identifier doi | 10.1061/JMCEE7.MTENG-20714 | |
| journal fristpage | 04026089-1 | |
| journal lastpage | 04026089-37 | |
| page | 37 | |
| tree | Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 005 | |
| contenttype | Fulltext | |