4.7 Article

Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures

Journal

RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 123, Issue -, Pages 21-37

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2013.09.013

Keywords

Reliability; Risk; Lifetime distribution; Life-cycle maintenance; Deteriorating structures

Funding

  1. National Science Foundation (NSF) Award [CMS-0639428]
  2. Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA)
  3. U.S. Federal Highway Administration (FHWA) Cooperative Agreement Award [DTFH61-07-H-00040]
  4. U.S. Office of Naval Research (ONR) [N00014-08-1-0188, N00014-12-1-0023]
  5. National Aeronautics and Space Administration (NASA) Award [NNX10AJ20G]
  6. NASA [NNX10AJ20G, 129778] Funding Source: Federal RePORTER

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Structural capacity deterioration is among the main causes of increasing failure probabilities of structural systems, thus maintenance interventions are a crucial task for their rational management. Several probabilistic approaches have been proposed during the last decades for the determination of cost-effective maintenance strategies based on selected performance indicators. However, benefits and drawbacks of each performance indicator with respect to the others should be further analyzed. The objective of this paper is to investigate probabilistic approaches based on the annual reliability index, annual risk, and lifetime distributions for life-cycle maintenance of structural systems. Maintenance schedules are obtained for representative series, parallel, and series-parallel systems considering total restoration of component resistances whenever a prescribed threshold, based on a selected performance indicator, is reached. Effects related to different structural configurations and correlation among failure modes are investigated. The superstructure of an existing bridge is used to illustrate the presented approaches. (C) 2013 Elsevier Ltd. All rights reserved.

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