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Reliability analysis and updating of deteriorating systems with subset simulation

Schneider, Ronald ; Thöns, Sebastian LU and Straub, Daniel (2017) In Structural Safety 64. p.20-36
Abstract

An efficient approach to reliability analysis of deteriorating structural systems is presented, which considers stochastic dependence among element deterioration. Information on a deteriorating structure obtained through inspection or monitoring is included in the reliability assessment through Bayesian updating of the system deterioration model. The updated system reliability is then obtained through coupling the updated deterioration model with a probabilistic structural model. The underlying high-dimensional structural reliability problems are solved using subset simulation, which is an efficient and robust sampling-based algorithm suitable for such analyses. The approach is demonstrated in two case studies considering a steel frame... (More)

An efficient approach to reliability analysis of deteriorating structural systems is presented, which considers stochastic dependence among element deterioration. Information on a deteriorating structure obtained through inspection or monitoring is included in the reliability assessment through Bayesian updating of the system deterioration model. The updated system reliability is then obtained through coupling the updated deterioration model with a probabilistic structural model. The underlying high-dimensional structural reliability problems are solved using subset simulation, which is an efficient and robust sampling-based algorithm suitable for such analyses. The approach is demonstrated in two case studies considering a steel frame structure and a Daniels system subjected to high-cycle fatigue.

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author
; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bayesian analysis, Deterioration, Inspection, Monitoring, Structural reliability, Subset simulation
in
Structural Safety
volume
64
pages
17 pages
publisher
Elsevier
external identifiers
  • scopus:84991219746
ISSN
0167-4730
DOI
10.1016/j.strusafe.2016.09.002
language
English
LU publication?
no
id
d132637c-d6f0-4ad5-b42f-8d2d48cff7c5
date added to LUP
2020-09-09 09:25:37
date last changed
2022-03-26 06:25:54
@article{d132637c-d6f0-4ad5-b42f-8d2d48cff7c5,
  abstract     = {{<p>An efficient approach to reliability analysis of deteriorating structural systems is presented, which considers stochastic dependence among element deterioration. Information on a deteriorating structure obtained through inspection or monitoring is included in the reliability assessment through Bayesian updating of the system deterioration model. The updated system reliability is then obtained through coupling the updated deterioration model with a probabilistic structural model. The underlying high-dimensional structural reliability problems are solved using subset simulation, which is an efficient and robust sampling-based algorithm suitable for such analyses. The approach is demonstrated in two case studies considering a steel frame structure and a Daniels system subjected to high-cycle fatigue.</p>}},
  author       = {{Schneider, Ronald and Thöns, Sebastian and Straub, Daniel}},
  issn         = {{0167-4730}},
  keywords     = {{Bayesian analysis; Deterioration; Inspection; Monitoring; Structural reliability; Subset simulation}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{20--36}},
  publisher    = {{Elsevier}},
  series       = {{Structural Safety}},
  title        = {{Reliability analysis and updating of deteriorating systems with subset simulation}},
  url          = {{http://dx.doi.org/10.1016/j.strusafe.2016.09.002}},
  doi          = {{10.1016/j.strusafe.2016.09.002}},
  volume       = {{64}},
  year         = {{2017}},
}