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PUBLICATIONS

Uncertainty Quantification of Failure Probability and a Dynamic Risk Analysis of Decision Making for Maintenance of Ageing Infrastructure

Published

Author(s)

Jeffrey T. Fong, James J. Filliben, Nathanael A. Heckert, Dennis D. Leber, Paul A. Berkman, Robert E. Chapman

Abstract

Risk, as the product of failure probability and failure consequence, has been estimated and applied by engineers and managers to help make critical decisions on (a) maintenance of ageing plants, and (b) planning of new infrastructure. For ageing plants, failure probabilities are more difficult to estimate than consequences, primarily because of a shortage of time-varying data on the condition of the complex systems of hardware and software at varying scales after years of service. A different argument holds for yet-to-be-built infrastructure, since it is also hard to estimate the time-varying nature of future loadings and resource availability. A dynamic, or, time-dependent risk analysis using a time-varying failure probability and a consequence with uncertainty estimation is an appropriate way to manage ageing infrastructure and plan new ones. In this paper, we first introduce the notion of a time-varying failure probability via a numerical example of a multi-scale fatigue model of a steel pipe, and then the concept of a dynamic risk for decision making via an application of the analysis to the inspection strategy for a cooling piping system of a 40-year-old nuclear power plant. Significance and limitations of the multi-scale fatigue life model and the risk analysis methodology are presented and discussed.
Proceedings Title
Fourth International Conference on Reliability, Safety, and Hazard, Jan. 10-13, 2019. IIT-Madras,
Chennai, India
Conference Dates
January 10-13, 2019
Conference Location
Chennai
Pub Type
Conferences

Download Paper

https://doi.org/10.1007_978-981-13-5796-1_5
Local Download

Keywords

Ageing structures, coverage, dynamic risk analysis, engineering decision making, failure probability, fatigue, inspection strategy, maintenance engineering, predictive limits, reliability, risk analysis, statistical analysis, tolerance limits, uncertainty quantification.
Uncertainty quantification, Statistical analysis, Polymers, Numerical methods and software, Modeling and simulation research, Modeling and computational material science, Metals, Infrastructure, Experiment design, Computational science, Composites and Ceramics

Citation

Fong, J. , Filliben, J. , Heckert, N. , Leber, D. , Berkman, P. and Chapman, R. (2019), Uncertainty Quantification of Failure Probability and a Dynamic Risk Analysis of Decision Making for Maintenance of Ageing Infrastructure, Fourth International Conference on Reliability, Safety, and Hazard, Jan. 10-13, 2019. IIT-Madras, Chennai, India, Chennai, -1, [online], https://doi.org/10.1007_978-981-13-5796-1_5 (Accessed December 15, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created January 2, 2019, Updated May 18, 2020