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Proceedings of the 11 th US-Taiwan Bridge Engineering Workshop Taipei, Taiwan, October 20~21, 2016 Development of Risk-Based Bridge Inspection Practices Waseem DEKELBAB Senior Program Officer and Implementation Coordinator, National Cooperative Highway Research Program (NCHRP), Transportation Research Board (TRB), No.500, Fifth Street, NW, Washington, DC 20001, U.S.A. E-mail: [email protected] ABSTRACT The Moving Ahead for Progress in the 21 st Century Act (MAP-21) requires that each state develop a “risk-based asset management plan” and declares that “it is in the vital interest of the United States to use a data-driven, risk-based approach and cost-effective strategy for systematic preventative maintenance, replacement, and rehabilitation of highway bridges and tunnels to ensure safety and extended service life.” The legislation does not specify a method or performance measures for considering risk. However, the language makes clear the desirability of incorporating risk in a way that can reasonably be supported in a data-driven cost-effective process. Risks of interest include exogenous uncommon hazard that acts on a bridge or a small subset of bridges at random timing and location, and causes a loss of access, seriously degraded functionality for road users, unexpectedly rapid deterioration, or unexpectedly high cost. For these types of risks, it may be possible to estimate hazard likelihood at the level of geographic zones or structure categories, and vulnerability or resilience at the level of individual assets. This probabilistic approximation may enable an agency with suitable tools to quantify and manage risks in a data-driven cost-effective manner even if the exact risk for each bridge can never be measured or the timing of event is not exactly known. The hazards satisfying these criteria may include, but are not limited to, earthquakes and other types of earth movement, hurricanes and tornadoes, floods and scour, fires, vehicular or vessel collisions, fatigue, and advanced deterioration. These hazards have consequences that are beyond the normal deterioration and functional deficiencies already assessed in bridge management systems. The probability of each hazard and the ability of each structure to resist the hazard are not always consistently and quantitatively assessed at the current state of the practice. The presented work is part of the research efforts to develop proposed AASHTO guidelines for a data-driven risk assessment at the bridge and structure level considering risks from natural and man-made hazards.

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Page 1: Development of Risk-Based Bridge Inspection … of Risk...Proceedings of the 11th US-Taiwan Bridge Engineering Workshop Taipei, Taiwan, October 20~21, 2016 Development of Risk-Based

Proceedings of the 11th US-Taiwan Bridge Engineering Workshop Taipei, Taiwan, October 20~21, 2016

Development of Risk-Based Bridge Inspection Practices

Waseem DEKELBAB

Senior Program Officer and Implementation Coordinator, National Cooperative Highway Research Program (NCHRP), Transportation Research Board (TRB), No.500,

Fifth Street, NW, Washington, DC 20001, U.S.A. E-mail: [email protected]

ABSTRACT The Moving Ahead for Progress in the 21st Century Act (MAP-21) requires that

each state develop a “risk-based asset management plan” and declares that “it is in the vital interest of the United States to use a data-driven, risk-based approach and cost-effective strategy for systematic preventative maintenance, replacement, and rehabilitation of highway bridges and tunnels to ensure safety and extended service life.” The legislation does not specify a method or performance measures for considering risk. However, the language makes clear the desirability of incorporating risk in a way that can reasonably be supported in a data-driven cost-effective process.

Risks of interest include exogenous uncommon hazard that acts on a bridge or a small subset of bridges at random timing and location, and causes a loss of access, seriously degraded functionality for road users, unexpectedly rapid deterioration, or unexpectedly high cost. For these types of risks, it may be possible to estimate hazard likelihood at the level of geographic zones or structure categories, and vulnerability or resilience at the level of individual assets. This probabilistic approximation may enable an agency with suitable tools to quantify and manage risks in a data-driven cost-effective manner even if the exact risk for each bridge can never be measured or the timing of event is not exactly known.

The hazards satisfying these criteria may include, but are not limited to, earthquakes and other types of earth movement, hurricanes and tornadoes, floods and scour, fires, vehicular or vessel collisions, fatigue, and advanced deterioration. These hazards have consequences that are beyond the normal deterioration and functional deficiencies already assessed in bridge management systems. The probability of each hazard and the ability of each structure to resist the hazard are not always consistently and quantitatively assessed at the current state of the practice.

The presented work is part of the research efforts to develop proposed AASHTO guidelines for a data-driven risk assessment at the bridge and structure level considering risks from natural and man-made hazards.

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Waseem DEKELBAB, Ph.D., P.E., P.M.P. Senior Program Officer and Implementation Coordinator, National Cooperative Highway Research Program (NCHRP), Transportation Research Board (TRB) Mailing Address: No.500, Fifth Street, NW,

Washington, DC 20001, U.S.A. Phone: +1-202-334-1409 Fax: +1-202-334-2006 E-mail: [email protected]

RESEARCH AND ACADEMIC INTERESTS Applied Research Related to Bridges and Structures

Implementation of Research Products

EDUCATION Ph.D., Civil/Structural Engineering, Wayne State University, Michigan, U.S.A., 2002.

M.S., Civil/Structural Engineering, Wayne State University, Michigan, U.S.A., 1999. B.S., Civil/Structural Engineering, Damascus University, Syria, 1995.

CURRENT POSITION Senior Program Officer, the National Cooperative Highway Research Program (NCHRP),

Transportation Research Board (TRB) at The National Academies of Sciences, Engineering, and Medicine, 8 years. Managing (i.e., from project initiation to closeout) more than 40 bridge and structure

research projects ($15 million) sponsored by the American Association of Highway and Transportation Officials (AASHTO) related to design and specifications, safety and security, construction, new materials, inspection, maintenance, repair and strengthening, testing and instrumentation, and asset management and performance measures.

WORK EXPERIENCES AND ACHIEVEMENTS Senior Bridge Research Engineer and Principal Investigator of Bridge Management

Information System Laboratory (BMISL) at FHWA Turner-Fairbank Highway Research Center, Science Applications International Corporation (SAIC) in Contract with FHWA, Virginia, 2 years.

Senior Technical Sales and Support Engineer, TNO-DIANA North America, Michigan, 3 years.

PROFESSIONAL ASSOCIATIONS Registered Professional Engineer in Civil and Structural Engineering: Michigan State and

Commonwealth of Virginia. Project Management Professional-PMP®.

HONORS AND AWARDS Certification of Appreciation for five years of distinguished service, The National Academies of

Sciences, Engineering, and Medicine.

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SELECTED PUBLICATIONS Tobias, D., Bardow, A., Dekelbab, W., Kapur, J., Keever, M., Saiidi, M., Sletten, J., and Yen,

W. (2014), ”Multihazard Extreme Event Design for Accelerated Bridge Construction,” Practice Periodical on Structural Design and Construction, Vol. 19, Issue 2.

Fu, G., Cohen, H., Thompson, P., Feng, J., and Dekelbab, W. (2010), “Planning for Commercial Vehicle Weight Limit Change: Application and Computer Software,” Practice Periodical on Structural Design and Construction, Vol. 15, Issue 1, pp. 9-20.

Fu, G., Feng, J., Dekelbab, W., Moses, F., Cohen, H., and Mertz, D. (2008), “Impact of Commercial Vehicle Weight Change on Highway Bridge Infrastructure,” Journal of Bridge Engineering, ASCE, Vol. 13, Issue 6, pp. 556-564.

Cohen, H., Fu, G., Dekelbab, W., and Moses, F. (2003), “Predicting Truck Load Spectra under Weight Limit Changes, and its Application to Steel Bridge Fatigue Assessment,” Journal of Bridge Engineering, ASCE, Vol. 8, Issue 5, pp. 312-322.