Project Title | Use of SmartRock Sensors to Monitor Pavement Performance for Supporting Rehabilitation Decision Making |
University | Penn State Altoona, Virginia Tech |
Principal Investigator(s) | Shihui Shen, Penn State Altoona; Linbing Wang, Virginia Tech |
PI Contact Information | szs20@psu.edu, wangl@vt.edu |
Funding Source(s) and Amounts Provided (by each agency or organization) | Penn State Federal $120,923, Match $120,177 Virginia Tech Federal $110,501, Match $61,588 |
Total Project Cost | $413,189 |
Start and End Dates | 3/1/19—3/1/21 |
Brief Description of Research Project | Given the collective capability of SmartRock sensing network in monitoring contact stress, particle motion and rotation, and temperature in real time, we propose in this study to apply the SmartRock sensing technology, in combination with non-destructive techniques, data analysis algorithms and pavement response monitoring tools, to develop and calibrate a pavement response model that can be used to aid rehabilitation decision making. As the Phase I work, the study will be based on a laboratory scaled MMLS3 simulation test, for concept proofing and model development. At Phase II, a field implementation under real traffic will be conducted. |