On robust maintenance scheduling of fatigue-prone structural systems considering imprecise probability

Edoardo Patelli, Marcos A. Valdebenito, Marco De Angelis

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Crack propagation in metallic mechanical components subject to cyclic loading may lead to loss of serviceability or even collapse. Often, these undesirable events may be prevented by performing appropriate maintenance activities. Nonetheless, the scheduling of these activities is highly involved due to the inherent uncertainty associated with crack propagation. In this contribution, a framework for optimal scheduling of maintenance activities within the theory of imprecise probabilities is presented. In this manner, effects of uncertainty are considered in a rational way. The proposed approach is implemented in a general purpose software for stochastic analysis. A numerical example demonstrates the applicability of the proposed framework as well as the importance of considering the effects of uncertainty.

Original languageEnglish
Pages (from-to)1081-1086
Number of pages6
JournalChemical Engineering Transactions
Volume33
DOIs
Publication statusPublished - 2013

Keywords

  • crack propagation
  • cracks
  • reliability analysis
  • optimization RBDO
  • reliability
  • probability
  • stochastic systems

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