posted on 2015-02-18, 11:40authored byGiorgio Barone, Dan M. Frangopol
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.
History
School
Architecture, Building and Civil Engineering
Published in
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume
123
Pages
21 - 37 (17)
Citation
BARONE, G. and FRANGOPOL, D.M., 2014. Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures. Reliability Engineering & System Safety, 123, pp.21-37.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2014
Notes
This is the author’s version of a work that was accepted for publication in Reliability Engineering & System Safety. A definitive version was subsequently published at: http://dx.doi.org/10.1016/j.ress.2013.09.013