Validation of a Novel Sensing Approach for Continuous Pavement Monitoring Using Full-Scale APT Testing

Author:

Manosalvas-Paredes Mario1ORCID,Aono Kenji2ORCID,Chakrabartty Shantanu3,Blanc Juliette4,Lo Presti Davide5,Chatti Karim6ORCID,Lajnef Nizar7

Affiliation:

1. Ph.D. Researcher, Nottingham Transportation Engineering Centre, School of Civil Engineering, Univ. of Nottingham, University Park, Nottingham NG7 2RD, UK (corresponding author). ORCID: .

2. Postdoctoral Research Associate, Dept. of Computer Science and Engineering, Washington Univ. in St. Louis, St. Louis, MO 63130. ORCID:

3. Professor, Dept. of Computer Science and Engineering, Washington Univ. in St. Louis, St. Louis, MO 63130.

4. Principal Researcher, Materials & Structures Department—Laboratoire Auscultation, modélisation et expérimentation sur les infrastructures de transports, Univ. Gustave Eiffel, Institut Français des Sciences et Techniques de l’Aménagement et des Réseaux, Campus de Nantes, Bouguenais F-44344, France.

5. Assistant Professor, Dept. of Engineering, Univ. of Palermo, Ed 8, Palermo 90128, Italy.

6. Professor, Dept. of Civil and Environmental Engineering, Michigan State Univ., East Lansing, MI 48824. ORCID:

7. Associate Professor, Dept. of Civil and Environmental Engineering, Michigan State Univ., East Lansing, MI 48824.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference31 articles.

1. Continuous health monitoring of pavement systems using smart sensing technology

2. Aono K. 2017. “Self-powered sensors to facilitate infrastructural internet-of-things for smart structures self-powered sensors to facilitate infrastructural internet-of-things for smart structures.” In Proc. 13th Int. Workshop on Advanced Smart Materials and Smart Structures Technology 1–8. Tokyo Japan: Univ. of Tokyo. https://par.nsf.gov/servlets/purl/10069449.

3. Quasi-self-powered Piezo-floating-gate sensing technology for continuous monitoring of large-scale bridges;Aono K.;Front. Built Environ.,2019

4. Aono K. and O. Pochettino. 2018. “Quasi-self-powered infrastructural internet of things: The Mackinac bridge case study.” In Proc. 2018 on Great Lakes Symp. on VLSI GLSVLSI ’18 335–340. New York: Association for Computing Machinery. https://doi.org/10.1145/3194554.3194622.

5. Alternate Method of Pavement Assessment Using Geophones and Accelerometers for Measuring the Pavement Response

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