Mean time to failure of dams

Author:

Opyrchał Leszek1,Bąk Aleksandra1

Affiliation:

1. Military University of Technology in Warsaw

Abstract

AbstractDams are among the largest structures constructed by human. Their disasters result in numerous casualties and large material losses. The statistical analysis of the reasons for dam disasters was carried out by the International Commission on Large Dams. The hazard functionh(t) and next, the reliability functionR(t) were calculated based on that data, using the fitting of the power function in the infant mortality period and a constant function in the operation period. The knowledge of the reliability function allowed for calculating the mean time to failure which was 112957 ± 12443 years. It was also demonstrated that in the operation period the annual dam failure ratio is 8.719×10− 6± 0.297×10− 6. It is a value that is proximate to the recommendations of the U.S. Army Corps of Engineers which suggests the tolerance for the annual dam disaster risk not to exceed 10− 6for newly-constructed dams and 10− 4for already existing ones.

Publisher

Research Square Platform LLC

Reference38 articles.

1. Norbert J., Delatte Jr., 2009, Vaiont Dam Reservoir Slope Stability Failure [in:] Beyond failure: forensic case studies for civil engineers, Reston, ASCE Press, pp. 234–248

2. Noorani A. G. (1984), Dissolving Commissions of Inquiry. Economic and Political Weekly, Vol. 19, No. 16 (Apr. 21, 1984), pp. 667–668 (2 pages)

3. Gee N., (2021), Case Study: Machhu Dam II (Gujarat, India, 1979), Lessons Learned From Dam Incidents and Failures, accesed 1.12.2021; https://damfailures.org/case-study/machhu-dam-ii-gujarat-india-1979/)

4. Ivanova T.V., Petrov V.A., Nalabordin D.G. (2015), Statistical estimation of mean time to failure of gondola cars between repairs. Dependability 2015;(1):32–38. https://doi.org/10.21683/1729-2646-2015-0-1-32-38

5. Reliability and Availability Evaluation of PATHRI & CHILLA Hydro Power Station (India) by using Markov Model;Sahu M;International Journal of Electrical, Electronics and Computer Engineering,2013

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