Probabilistic considerations are essential to qnde and shm

Jan Drewes Achenbach, M. L. Cohen, S. S. Kulkarni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Probabilistic considerations play a dominant role in the four stages of the diagnostics and prognostics of fatigue damage in metals. Considerable attention has been given to the evolution and detection of pre-crack fatigue damage and the probabilistic aspects of subsequent macrocrack formation (Stage 1). For Stage 2 (macrocrack growth and detection), Paris law for crack growth under cyclic loading conditions can be useful, particularly if it is placed in a probabilistic context, and if the constants in the law are represented by probability distributions. By introducing the probability of detection concept, various probabilities related to the existence, after N cycles, of a crack larger than a critical size, can be determined in Stage 3 for purposes of prognostication. Paris law has its limitations and efforts to formulate other crack-growth laws will be mentioned. Finally, we will mention probabilistic aspects of optimizing the inspection schedule for Stage 4.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2009
Subtitle of host publicationFrom System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages481-488
Number of pages8
ISBN (Electronic)9781605950075
StatePublished - Jan 1 2009
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford, United States
Duration: Sep 9 2009Sep 11 2009

Publication series

NameStructural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
Volume1

Other

Other7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
CountryUnited States
CityStanford
Period9/9/099/11/09

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

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