IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v183y2019icp197-212.html
   My bibliography  Save this article

Life-cycle management of deteriorating civil infrastructure considering resilience to lifetime hazards: A general approach based on renewal-reward processes

Author

Listed:
  • Yang, David Y.
  • Frangopol, Dan M.

Abstract

Civil infrastructure during its service life is subject to progressive deterioration due to aggressive environments and sudden deterioration due to natural and/or manmade hazards. This paper presents a general approach to perform life-cycle management considering both types of deterioration. As an important aspect of life-cycle asset management under hazards, the present study introduces a novel concept, referred to as lifetime resilience. The lifetime resilience of a deteriorating structure is characterized by its cumulative losses to lifetime hazards. By modeling lifetime hazards and life-cycle performance as renewal-reward processes, the proposed approach resorts to the renewal theory to formulate analytical expressions of expected values of lifetime intervention costs, lifetime failure risks, and lifetime resilience losses. Owing to the efficiency in evaluating these expressions, a generic life-cycle management framework is proposed using multi-objective optimization. This proposed framework is applicable to a wide range of civil infrastructure systems under various types of hazards. The proposed approach is illustrated by using a numerical example.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:183:y:2019:i:c:p:197-212
    DOI: 10.1016/j.ress.2018.11.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832017313789
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2018.11.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Yuwei & Madanat, Samer, 2002. "A steady-state solution for the optimal pavement resurfacing problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(6), pages 525-535, July.
    2. Toshio Nakagawa, 2007. "Shock and Damage Models in Reliability Theory," Springer Series in Reliability Engineering, Springer, number 978-1-84628-442-7, January.
    3. van der Weide, J.A.M. & Pandey, M.D. & van Noortwijk, J.M., 2010. "Discounted cost model for condition-based maintenance optimization," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 236-246.
    4. Okasha, Nader M. & Frangopol, Dan M. & Orcesi, André D., 2012. "Automated finite element updating using strain data for the lifetime reliability assessment of bridges," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 139-150.
    5. Liu, Yan & Frangopol, Dan M., 2018. "Time-dependent reliability assessment of ship structures under progressive and shock deteriorations," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 116-128.
    6. Umberto Alibrandi & Khalid M. Mosalam, 2017. "A Decision Support Tool for Sustainable and Resilient Building Design," Springer Series in Reliability Engineering, in: Paolo Gardoni (ed.), Risk and Reliability Analysis: Theory and Applications, pages 509-536, Springer.
    7. Federica Ranghieri & Mikio Ishiwatari, 2014. "Learning from Megadisasters : Lessons from the Great East Japan Earthquake," World Bank Publications - Books, The World Bank Group, number 18864, December.
    8. 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.
    9. Paolo Gardoni, 2017. "Risk and Reliability Analysis," Springer Series in Reliability Engineering, in: Paolo Gardoni (ed.), Risk and Reliability Analysis: Theory and Applications, pages 3-24, Springer.
    10. Cha, Eun Jeong & Ellingwood, Bruce R., 2012. "Risk-averse decision-making for civil infrastructure exposed to low-probability, high-consequence events," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 27-35.
    11. Wang, Cao & Zhang, Hao & Li, Quanwang, 2017. "Reliability assessment of aging structures subjected to gradual and shock deteriorations," Reliability Engineering and System Safety, Elsevier, vol. 161(C), pages 78-86.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andriotis, C.P. & Papakonstantinou, K.G., 2021. "Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    2. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "A demand-based framework for resilience assessment of multistate networks under disruptions," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    3. Vrignat, Pascal & Kratz, Frédéric & Avila, Manuel, 2022. "Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    4. Chahrour, Nour & Nasr, Mohamad & Tacnet, Jean-Marc & Bérenguer, Christophe, 2021. "Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    5. Li, Yaohan & Dong, You & Guo, Hongyuan, 2023. "Copula-based multivariate renewal model for life-cycle analysis of civil infrastructure considering multiple dependent deterioration processes," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    6. Calvert, Gareth & Neves, Luis & Andrews, John & Hamer, Matthew, 2020. "Multi-defect modelling of bridge deterioration using truncated inspection records," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    7. Iannacone, Leandro & Sharma, Neetesh & Tabandeh, Armin & Gardoni, Paolo, 2022. "Modeling Time-varying Reliability and Resilience of Deteriorating Infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    8. Andriotis, C.P. & Papakonstantinou, K.G., 2019. "Managing engineering systems with large state and action spaces through deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    9. Li, Yaohan & Dong, You & Qian, Jing, 2020. "Higher-order analysis of probabilistic long-term loss under nonstationary hazards," Reliability Engineering and System Safety, Elsevier, vol. 203(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Zhao, Xufeng & Qian, Cunhua & Nakagawa, Toshio, 2013. "Optimal policies for cumulative damage models with maintenance last and first," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 50-59.
    3. 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).
    4. Chen, Yunxia & Zhang, Wenbo & Xu, Dan, 2019. "Reliability assessment with varying safety threshold for shock resistant systems," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 49-60.
    5. van der Weide, J.A.M. & Pandey, M.D., 2011. "Stochastic analysis of shock process and modeling of condition-based maintenance," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 619-626.
    6. Yang, Yiming & Peng, Jianxin & Cai, C.S. & Zhou, Yadong & Wang, Lei & Zhang, Jianren, 2022. "Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    7. Duc-Vu Ngo & Jong-Kwon Lim & Dong-Hyawn Kim, 2022. "Reliability Analysis and Life Prediction of Aging LNG Unloading Arms Based on Non-Destructive Test Data," Energies, MDPI, vol. 15(24), pages 1-19, December.
    8. Shafiee, Mahmood & Finkelstein, Maxim, 2015. "An optimal age-based group maintenance policy for multi-unit degrading systems," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 230-238.
    9. Li, Yaohan & Dong, You & Guo, Hongyuan, 2023. "Copula-based multivariate renewal model for life-cycle analysis of civil infrastructure considering multiple dependent deterioration processes," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    10. Asadzadeh, S.M. & Azadeh, A., 2014. "An integrated systemic model for optimization of condition-based maintenance with human error," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 117-131.
    11. Wen, Tao & Gao, Qiuya & Chen, Yu-wang & Cheong, Kang Hao, 2022. "Exploring the vulnerability of transportation networks by entropy: A case study of Asia–Europe maritime transportation network," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    12. Gregory Levitin & Maxim Finkelstein, 2018. "Optimal Mission Abort Policy for Systems Operating in a Random Environment," Risk Analysis, John Wiley & Sons, vol. 38(4), pages 795-803, April.
    13. Levitin, Gregory & Finkelstein, Maxim & Dai, Yuanshun, 2020. "Mission abort policy optimization for series systems with overlapping primary and rescue subsystems operating in a random environment," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    14. Qiao, Julie Yu & Du, Runjia & Labi, Samuel & Fricker, Jon D. & Sinha, Kumares C., 2021. "Policy implications of standalone timing versus holistic timing of infrastructure interventions: Findings based on pavement surface roughness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 79-99.
    15. Finkelstein, Maxim & Marais, Francois, 2010. "On terminating Poisson processes in some shock models," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 874-879.
    16. Bachev, Hrabrin & Ito, Fusao, 2017. "Agricultural impacts of the Great East Japan Earthquake - six years later," MPRA Paper 79469, University Library of Munich, Germany.
    17. Ji Hwan Cha & Maxim Finkelstein, 2019. "New failure and minimal repair processes for repairable systems in a random environment," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(3), pages 522-536, May.
    18. Ali, Sajid & Pievatolo, Antonio, 2018. "Time and magnitude monitoring based on the renewal reward process," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 97-107.
    19. Lee, Jinwoo & Madanat, Samer, 2015. "A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 106-122.
    20. Zhengxin Zhang & Xiaosheng Si & Changhua Hu & Xiangyu Kong, 2015. "Degradation modeling–based remaining useful life estimation: A review on approaches for systems with heterogeneity," Journal of Risk and Reliability, , vol. 229(4), pages 343-355, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:183:y:2019:i:c:p:197-212. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.