| contributor author | R. Edward Minchin Jr. | |
| contributor author | David C. Swanson | |
| contributor author | Alexander F. Gruss | |
| contributor author | H. Randolph Thomas | |
| date accessioned | 2017-05-08T21:13:28Z | |
| date available | 2017-05-08T21:13:28Z | |
| date copyright | July 2008 | |
| date issued | 2008 | |
| identifier other | %28asce%290887-3801%282008%2922%3A4%28243%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/43378 | |
| description abstract | The term “intelligent compaction” is now heard so often one might believe that the method used for documenting and controlling the quality of hot-mix asphalt pavement has evolved to a state of total commercial and engineering acceptance. In fact, today’s most-used process for determining the density of an asphalt mat uses 1960’s technology. Now, however, the responsibility for quality control (QC) of the paving and compaction process has largely been given to the contractor. This shift in responsibility comes at a time when the construction industry as a whole is faced with the worst labor shortage in history, limiting the number of qualified QC technicians and equipment operators. Recently, researchers introduced a patented system that, when mounted on a vibratory asphalt compactor, can render an asphalt density reading (in pounds per cubic foot) every | |
| publisher | American Society of Civil Engineers | |
| title | Computer Applications in Intelligent Compaction | |
| type | Journal Paper | |
| journal volume | 22 | |
| journal issue | 4 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(2008)22:4(243) | |
| tree | Journal of Computing in Civil Engineering:;2008:;Volume ( 022 ):;issue: 004 | |
| contenttype | Fulltext | |