TY - GEN
T1 - Self powered wireless sensor network for structural bridge health prognosis
T2 - 7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
AU - Matta, F.
AU - Ziehl, P.
AU - Ozevin, D.
AU - Inman, D.
AU - Giancaspro, J.
AU - Metrovich, B.
AU - Nanni, A.
AU - Caicedo, J.
AU - Gassman, S.
AU - Giurgiutiu, V.
AU - Huynh, N.
AU - Yu, L.
AU - Zarate, B.
AU - Godinez, V.
AU - Gostautas, R.
AU - Momeni, S.
AU - Priya, S.
PY - 2009
Y1 - 2009
N2 - 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).
AB - 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).
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M3 - Conference contribution
AN - SCOPUS:79956218640
T3 - Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
SP - 1747
EP - 1754
BT - Structural Health Monitoring 2009
A2 - Chang, Fu-Kuo
PB - DEStech Publications
Y2 - 9 September 2009 through 11 September 2009
ER -