Self powered wireless sensor network for structural bridge health prognosis

A 5-year research and development project for infrastructure sustainability

F. Matta, P. Ziehl, D. Ozevin, D. Inman, James W Giancaspro, B. Metrovich, Antonio Nanni, J. Caicedo, S. Gassman, V. Giurgiutiu, N. Huynh, L. Yu, B. Zarate, V. Godinez, R. Gostautas, S. Momeni, S. Priya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper outlines the salient aspects of the technical plan of a five-year cross-disciplinary research and development project aimed at developing a novel system capable of: a) continuously monitoring the structural health of concrete and steel bridges using wireless sensors that "harvest" power from structural vibration and wind energy; and b) assessing and predicting structural health via data assembly and interpretation on the basis of damage assessment and reliability-based algorithms. The project is funded by the National Institute of Standards and Technology (NIST) under the aegis of the new Technology Innovation Program (TIP), which was created to support transformational, high-risk, high-reward research in areas of critical national need where the government has a clear interest because of the magnitude of the problems and their importance to society. The proposed research addresses the critical need accruing from the large portion of the national bridge infrastructure that is reaching or has already reached the end of its service life, and suffers from the substantial lack of efficient and sustainable technical means to monitor structural integrity and to prioritize maintenance. The project team includes Physical Acoustics Corporation (hardware/software development, civil infrastructure monitoring) as the leading entity, University of Miami and University of South Carolina (steel and concrete bridge analysis and testing, structural monitoring and prognostics), and Virginia Polytechnic Institute and State University (energy harvesting, low-power electronics).

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
PublisherDEStech Publications
Pages1747-1754
Number of pages8
Volume2
ISBN (Print)9781605950075
StatePublished - 2009
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford, United States
Duration: Sep 9 2009Sep 11 2009

Other

Other7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
CountryUnited States
CityStanford
Period9/9/099/11/09

Fingerprint

Ego
Sustainable development
Wireless sensor networks
Steel bridges
Concrete bridges
Steel
Health
Monitoring
Low power electronics
Research
Technology
Federal Government
Energy harvesting
Structural integrity
Vibration
Reward
Acoustics
Service life
Wind power
Computer hardware

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

Cite this

Matta, F., Ziehl, P., Ozevin, D., Inman, D., Giancaspro, J. W., Metrovich, B., ... Priya, S. (2009). Self powered wireless sensor network for structural bridge health prognosis: A 5-year research and development project for infrastructure sustainability. In Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009 (Vol. 2, pp. 1747-1754). DEStech Publications.

Self powered wireless sensor network for structural bridge health prognosis : A 5-year research and development project for infrastructure sustainability. / Matta, F.; Ziehl, P.; Ozevin, D.; Inman, D.; Giancaspro, James W; Metrovich, B.; Nanni, Antonio; Caicedo, J.; Gassman, S.; Giurgiutiu, V.; Huynh, N.; Yu, L.; Zarate, B.; Godinez, V.; Gostautas, R.; Momeni, S.; Priya, S.

Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. Vol. 2 DEStech Publications, 2009. p. 1747-1754.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matta, F, Ziehl, P, Ozevin, D, Inman, D, Giancaspro, JW, Metrovich, B, Nanni, A, Caicedo, J, Gassman, S, Giurgiutiu, V, Huynh, N, Yu, L, Zarate, B, Godinez, V, Gostautas, R, Momeni, S & Priya, S 2009, Self powered wireless sensor network for structural bridge health prognosis: A 5-year research and development project for infrastructure sustainability. in Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. vol. 2, DEStech Publications, pp. 1747-1754, 7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009, Stanford, United States, 9/9/09.
Matta F, Ziehl P, Ozevin D, Inman D, Giancaspro JW, Metrovich B et al. Self powered wireless sensor network for structural bridge health prognosis: A 5-year research and development project for infrastructure sustainability. In Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. Vol. 2. DEStech Publications. 2009. p. 1747-1754
Matta, F. ; Ziehl, P. ; Ozevin, D. ; Inman, D. ; Giancaspro, James W ; Metrovich, B. ; Nanni, Antonio ; Caicedo, J. ; Gassman, S. ; Giurgiutiu, V. ; Huynh, N. ; Yu, L. ; Zarate, B. ; Godinez, V. ; Gostautas, R. ; Momeni, S. ; Priya, S. / Self powered wireless sensor network for structural bridge health prognosis : A 5-year research and development project for infrastructure sustainability. Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. Vol. 2 DEStech Publications, 2009. pp. 1747-1754
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