Project TitleUse of SmartRock Sensors to Monitor Pavement Performance for Supporting Rehabilitation Decision Making
UniversityPenn State Altoona, Virginia Tech
Principal Investigator(s)Shihui Shen, Penn State Altoona; Linbing Wang, Virginia Tech
PI Contact,
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 Dates3/1/19—3/1/21
Brief Description of Research ProjectGiven 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.