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

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  • Barone, Giorgio
  • Frangopol, Dan M.

Abstract

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.

Suggested Citation

  • Barone, Giorgio & Frangopol, Dan M., 2014. "Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 21-37.
    • Handle: RePEc:eee:reensy:v:123:y:2014:i:c:p:21-37
    DOI: 10.1016/j.ress.2013.09.013
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    References listed on IDEAS

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    1. Garbatov, Y. & Guedes Soares, C., 2009. "Structural maintenance planning based on historical data of corroded deck plates of tankers," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1806-1817.
    2. Okasha, Nader M. & Frangopol, Dan M., 2010. "Redundancy of structural systems with and without maintenance: An approach based on lifetime functions," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 520-533.
    3. A. G. Hessami, 1999. "Risk management: A systems paradigm," Systems Engineering, John Wiley & Sons, vol. 2(3), pages 156-167.
    4. Marsh, Philip S. & Frangopol, Dan M., 2008. "Reinforced concrete bridge deck reliability model incorporating temporal and spatial variations of probabilistic corrosion rate sensor data," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 394-409.
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    Cited by:

    1. Gamse, Sonja & Zhou, Wan-Huan & Tan, Fang & Yuen, Ka-Veng & Oberguggenberger, Michael, 2018. "Hydrostatic-season-time model updating using Bayesian model class selection," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 40-50.
    2. Cheng, Minghui & Frangopol, Dan M., 2022. "Life-cycle optimization of structural systems based on cumulative prospect theory: Effects of the reference point and risk attitudes," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    3. Doostparast, Mohammad & Kolahan, Farhad & Doostparast, Mahdi, 2014. "A reliability-based approach to optimize preventive maintenance scheduling for coherent systems," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 98-106.
    4. Bismut, Elizabeth & Pandey, Mahesh D. & Straub, Daniel, 2022. "Reliability-based inspection and maintenance planning of a nuclear feeder piping system," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    5. Yang, David Y. & Frangopol, Dan M., 2019. "Life-cycle management of deteriorating civil infrastructure considering resilience to lifetime hazards: A general approach based on renewal-reward processes," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 197-212.
    6. Ryan, Paraic C. & Stewart, Mark G. & Spencer, Nathan & Li, Yue, 2014. "Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 261-273.
    7. Vishwanath, B Sharanbaswa & Banerjee, Swagata, 2023. "Considering uncertainty in corrosion process to estimate life-cycle seismic vulnerability and risk of aging bridge piers," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    8. Anil Kr. Aggarwal & Sanjeev Kumar & Vikram Singh, 2017. "Mathematical modeling and reliability analysis of the serial processes in feeding system of a sugar plant," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 435-450, January.
    9. Bismut, Elizabeth & Straub, Daniel, 2021. "Optimal adaptive inspection and maintenance planning for deteriorating structural systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

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