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Discretization of structural reliability problems: An application to runway overrun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Bayesian networks (BNs) are a powerful tool for efficiently representing joint probability distributions and updating probabilities in near real-time. We combine BNs with structural reliability concepts to develop a warning system for runway overrun of a landing aircraft, one of the most critical accident types in civil aviation. This warning system allows to use currently available measurements of the aircraft weight, the head wind and the approach speed to update the probability of runway overrun in-flight. Based on the probability, the system informs the pilots whether or not it is save to land. One of the key challenges when treating structural reliability problems in a discrete BN framework is the discretization of the continuous outcome space of the reliability problem. We apply a heuristic developed in Zwirglmaier and Straub (2014) to discretize the reliability problem, such that the discretization error is kept small with only a moderate number of discretization intervals.

Original languageEnglish
Title of host publication12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
PublisherUniversity of British Columbia
ISBN (Electronic)9780888652454
StatePublished - 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015

Publication series

Name12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
Country/TerritoryCanada
CityVancouver
Period12/07/1515/07/15

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