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contributor authorPanagiotis Spyridis
contributor authorDirk Proske
date accessioned2022-01-31T23:58:25Z
date available2022-01-31T23:58:25Z
date issued6/1/2021
identifier otherAJRUA6.0001107.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270671
description abstractComparison of calculated failure probabilities of technical systems with observed failure frequencies is an important part of the assessment of probabilistic calculations and can point to significant factors that are neglected in the calculations. Recent comparisons of failure probabilities and failure frequencies of nuclear power plants, bridges, and dams have shown that the calculated and observed values correspond surprisingly well. In addition, although various factors could be identified which have both positive and negative influences on the observed values, they almost cancel each other out. This study focuses on the comparison as it relates to tunnels. Extensive statistics indicate that most tunnel collapses occur during construction. Although this is also seen to a certain extent in bridges, it is not to the extent seen in tunnels. Events such as earthquakes and floods, which are the major causes of collapse of other structures, account for only about 10% to 20% of all tunnel collapses. Increasingly, tunnels are also being proven probabilistically. Based on these calculations, the available failure statistics can be compared with representative probabilistic tunnel proofs. The comparison shows large deviations between individual computations as well as between the mean value of all computations and the observed collapse frequencies.
publisherASCE
titleRevised Comparison of Tunnel Collapse Frequencies and Tunnel Failure Probabilities
typeJournal Paper
journal volume7
journal issue2
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.0001107
journal fristpage04021004-1
journal lastpage04021004-9
page9
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 002
contenttypeFulltext


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