| contributor author | Ahmad, Kamal Nasir | |
| contributor author | Xianhua, Chen | |
| contributor author | Lu, Qing | |
| date accessioned | 2026-08-20T21:28:47Z | |
| date available | 2026-08-20T21:28:47Z | |
| date copyright | 2026/06/10 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7492.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314523 | |
| description abstract | AbstractTraditional destructive methods for assessing asphalt pavement compaction, such as
core sampling, are time-consuming, costly, and provided limited spatial coverage.
Nondestructive approaches are essential for real-time quality control (QC) and ... | |
| publisher | American Society of Civil Engineers | |
| title | Optimizing Asphalt Compaction: Intelligent Compaction Roller Frequency and Machine Learning Prediction of In-Place Density | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 5 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7492 | |
| journal fristpage | 04026075-1 | |
| journal lastpage | 04026075-13 | |
| page | 13 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005 | |
| contenttype | Fulltext | |
