IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v256y2025ics0951832024007890.html
   My bibliography  Save this article

Probabilistic analysis framework for the deterioration of marine tubular steel structures based on random field simulation

Author

Listed:
  • Ye, Xinyi
  • Zhao, Jiajun
  • Fu, Huifang

Abstract

Corrosion reduces the effective cross-section, leading to the bearing capacity loss of marine tubular steel structures; the structures’ time-variant performance are of great concern in practices. The paper employs random field simulation to account for corrosion's spatial variability in evaluating the bearing capacity of the axially-loaded steel tubes, and proposes a time-variant reliability analysis framework for marine tubular steel structures, from the member-level to the structure-level. Results are compared with those neglecting the corrosion's spatial variability. The proposed method prevents a significant underestimation of the failure probability comparing to that neglecting spatial variability, and provides a tool for designers to predict the time-variant reliability levels for marine steel structures.

Suggested Citation

  • Ye, Xinyi & Zhao, Jiajun & Fu, Huifang, 2025. "Probabilistic analysis framework for the deterioration of marine tubular steel structures based on random field simulation," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024007890
    DOI: 10.1016/j.ress.2024.110718
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024007890
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2024.110718?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. Dao, Uyen & Sajid, Zaman & Khan, Faisal & Zhang, Yahui & Tran, Trung, 2023. "Modeling and analysis of internal corrosion induced failure of oil and gas pipelines," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    2. Jiang, Fengyuan & Dong, Sheng, 2024. "Probabilistic-based burst failure mechanism analysis and risk assessment of pipelines with random non-uniform corrosion defects, considering the interacting effects," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    3. Alibeikloo, Mehrnaz & Khabbaz, Hadi & Fatahi, Behzad, 2022. "Random Field Reliability Analysis for Time-Dependent Behaviour of Soft Soils Considering Spatial Variability of Elastic Visco-Plastic Parameters," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    4. Pugliese, F. & De Risi, R. & Sarno, L. Di, 2022. "Reliability assessment of existing RC bridges with spatially-variable pitting corrosion subjected to increasing traffic demand," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    5. Xu, Hao & Gardoni, Paolo, 2020. "Conditional formulation for the calibration of multi-level random fields with incomplete data," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    6. 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).
    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. Jiang, Fengyuan & Dong, Sheng, 2025. "Development of a CNN-based integrated surrogate model in evaluating the damage of buried pipeline under impact loads, considering the soil spatial variability," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).

    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. Zhou, Zhou & Yu, Xiaohui & Gardoni, Paolo & Ji, Kun & Lu, Dagang, 2025. "Seismic risk estimates for reinforced concrete structures with incorporation of corrosion and aftershock," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
    2. Qin, Xia & Kaewunruen, Sakdirat, 2024. "Machine learning and traditional approaches in shear reliability of steel fiber reinforced concrete beams," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    3. Jiang, Fengyuan & Dong, Sheng, 2025. "Development of a CNN-based integrated surrogate model in evaluating the damage of buried pipeline under impact loads, considering the soil spatial variability," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
    4. Zhao, Zhongwei & Wang, Wuyang & Yan, Renzhang & Zhao, Bingzhen, 2025. "Tensile capacity degradation of randomly corroded strands based on a refined numerical model," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    5. Wang, Tiao & Li, Chunhe & Zheng, Jian-jun & Hackl, Jürgen & Luan, Yao & Ishida, Tetsuya & Medepalli, Satya, 2023. "Consideration of coupling of crack development and corrosion in assessing the reliability of reinforced concrete beams subjected to bending," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    6. Lyu, Meng-Ze & Liu, Yang-Yi & Chen, Jian-Bing, 2025. "A novel model and simulation method for multivariate Gaussian fields involving nonlinear probabilistic dependencies and different variable-wise spatial variabilities," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    7. Woloszyk, Krzysztof & Garbatov, Yordan, 2024. "A probabilistic-driven framework for enhanced corrosion estimation of ship structural components," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    8. Zhang, Qian & Nie, Yaoqi & Du, Yanliang & Zhao, Weigang & Cao, Shujie, 2025. "Resilience-Based Restoration Model for Optimizing Corrosion Repair Strategies in Tunnel Lining," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    9. He, Jingran & Gao, Ruofan & Chen, Jianbing, 2022. "A sparse data-driven stochastic damage model for seismic reliability assessment of reinforced concrete structures," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    10. 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).
    11. Li, Si-Qi & Gardoni, Paolo, 2024. "Optimized seismic hazard and structural vulnerability model considering macroseismic intensity measures," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
    12. Liu, Wenli & Li, Ang & Fang, Weili & Love, Peter E.D. & Hartmann, Timo & Luo, Hanbin, 2023. "A hybrid data-driven model for geotechnical reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    13. Zhang, Zhiwei & Li, Songling & Wang, Huajie & Qian, Hongliang & Gong, Changqing & Wu, Qiongyao & Fan, Feng, 2025. "A study of neural network-based evaluation methods for pipelines with multiple corrosive regions," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    14. Chaudhry, Aqeel Afzal & Zhang, Chao & Ernst, Oliver G. & Nagel, Thomas, 2025. "Effects of inhomogeneity and statistical and material anisotropy on THM simulations," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    15. Jiadong, Qiu & Ohl, Joy P. & Tran, Trung-Tin, 2024. "Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    16. Hao, Peng & Tang, Hao & Wang, Yu & Wu, Tao & Feng, Shaojun & Wang, Bo, 2023. "Stochastic isogeometric buckling analysis of composite shell considering multiple uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    17. Zhang, Ruijing & Dai, Hongzhe, 2022. "A non-Gaussian stochastic model from limited observations using polynomial chaos and fractional moments," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    18. Gao, Xing & Meng, Jing & Ling, Yantao & Liao, Maolin & Cao, Mengqiu, 2022. "Localisation economies, intellectual property rights protection and entrepreneurship in China: a Bayesian analysis of multi-level spatial correlation," LSE Research Online Documents on Economics 114290, London School of Economics and Political Science, LSE Library.
    19. Kere, Kiswendsida J. & Huang, Qindan, 2024. "An analytical approach to evaluate life-cycle cost of deteriorating pipelines," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    20. Xu, Jiarui & Ji, Chunhou & Yang, Lihong & Liu, Yun & Xie, Zhiqiang & Fu, Xingfeng & Jiang, Fengshan & Liao, Mengfan & Zhao, Lei, 2025. "Urban natural gas pipeline operational vulnerability under the influence of a social spatial distribution structure: A case study of the safety risk patterns in Kunming, China," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).

    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:256:y:2025:i:c:s0951832024007890. 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.