Smart Pavement Monitoring System

This report describes the efforts undertaken to develop a novel self-powered strain sensor for continuous structural health monitoring of pavement systems under the Federal Highway Administration. Efforts focused on designing and testing a sensing system that consists of a novel self-powered wireless sensor capable of detecting damage and loading history for pavement structures. The developed system is based on the integration of a piezoelectric transducer with an array of ultra-low power floating gate computational circuits. A miniaturized sensor was developed and tested. The sensor is capable of continuous battery-less monitoring of strain events integrated over the occurrence duration time. The work conducted under this project resulted in the following: A. The development of a sensor that has the following attributes: (1) Self-powered, continuous, and autonomous sensing; (2) autonomous computation and non-volatile storage of sensing variables; (3) small size such that it can be installed using existing installation procedures that are accepted by State highway agencies and will not constitute a major disruption to current practices; (4) wireless communication to eliminate the need for embedding wires in the pavement structure and the use of fixed data acquisition systems on the side of the road; (5) robustness to withstand harsh loading and environmental conditions during initial construction and throughout the life of the pavement; and (6) the ability of integration in large-scale sensor networks. B. The manufacturing of the sensor electronics and the characterization of their basic functionalities in a laboratory setting. C. The design and characterization of the self-powering scheme based on piezoelectric transduction. D. The design and testing of a robust packaging system to withstand loading and environmental conditions for field implementation. E. The development of a sensor-specific data interpretation algorithm for predicting remaining fatigue life of a pavement structure using cumulative limited compressed strain data stored in the sensor memory.

• Record URL:
  http://www.fhwa.dot.gov/publications/research/infrastructure/pavements/12072/12072.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/34779
• Corporate Authors:

  Michigan State University, East Lansing

  East Lansing, MI  United States  48824

  Federal Highway Administration

  Office of Acquisition Management, 1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Lajnef, Nizar
  • Chatti, Karim
  • Chakrabartty, Shantanu
  • Rhimi, Mohamed
  • Sarkar, Pikul
• Publication Date: 2013-5

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Photos; References; Tables;
• Pagination: 150p

Subject/Index Terms

• TRT Terms: Fatigue (Mechanics); Pavement maintenance; Pavement management systems; Pavement performance; Strain (Mechanics); Structural health monitoring
• Uncontrolled Terms: Smart sensors
• Subject Areas: Highways; Maintenance and Preservation; Pavements; I60: Maintenance;

Filing Info

• Accession Number: 01483074
• Record Type: Publication
• Report/Paper Numbers: FHWA-HRT-12-072
• Contract Numbers: DTFH61-08-C-00015
• Files: NTL, TRIS, ATRI, USDOT
• Created Date: Jun 4 2013 11:08AM