Risk-based integrity model for offshore pipelines subjected to impact loads from falling objects

被引:12
|
作者
Jiang, Fengyuan [1 ]
Dong, Sheng [1 ]
机构
[1] Ocean Univ China, Coll Engn, 238 Songling Rd, Qingdao 266100, Peoples R China
基金
中国国家自然科学基金;
关键词
Risk assessment; offshore pipeline; cumulative prospect theory; impact load; nonlinear finite element analysis; burial depth; PROSPECT-THEORY; PENETRATION; DECISION; TESTS;
D O I
10.1177/1475090220960562
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Impacts from falling objects can pose a major risk of failure for offshore pipelines. Appropriate protection measures are required to reduce this risk. To achieve this goal, a risk-based integrity model is proposed. Based on the surrogate model of genetic programming, the finite element analysis is cooperated with the probabilistic method to consider nonlinear effects on the failure probability. The required validations are performed to demonstrate the accuracy. The cumulative prospect theory is introduced to encapsulate the risk-attitudes in the consequence evaluation. This integrated model is further extended to determine an optimal protection strategy to obtain the maximum return on an investment, as well as ensure safety of the infrastructures. A case study is used to illustrate the methodology used to determine the burial depth, which is a primary protection measure. The parametric study showed that the soil property and pipeline wall thickness have a considerable influence on the risk. A comprehensive overview of the outputs from different risk-attitudes is also provided. This study can provide a reference for offshore pipeline safety design, and the proposed model can be used as a potential guideline for other researchers to develop customised risk assessment models.
引用
收藏
页码:623 / 641
页数:19
相关论文
共 50 条
  • [41] FAMUS II: Risk-based design of offshore oil and gas production system - management of uncertainties by integrating flow assurance and reliability aspects into a RAM model
    Eisinger, S.
    Isaksen, S.
    Johnsen, O.
    Averbuch, D.
    RISK, RELIABILITY AND SOCIETAL SAFETY, VOLS 1-3: VOL 1: SPECIALISATION TOPICS; VOL 2: THEMATIC TOPICS; VOL 3: APPLICATIONS TOPICS, 2007, : 1159 - +
  • [42] Impact of risk-based therapy on late morbidity and mortality in neuroblastoma survivors: a report from the Childhood Cancer Survivor Study
    Friedman, Danielle Novetsky
    Goodman, Pamela J.
    Leisenring, Wendy M.
    Diller, Lisa R.
    Cohn, Susan L.
    Howell, Rebecca M.
    Smith, Susan A.
    Tonorezos, Emily S.
    Wolden, Suzanne L.
    Neglia, Joseph P.
    Ness, Kirsten K.
    Gibson, Todd M.
    Nathan, Paul C.
    Turcotte, Lucie M.
    Weil, Brent R.
    Robison, Leslie L.
    Oeffinger, Kevin C.
    Armstrong, Gregory T.
    Sklar, Charles A.
    Henderson, Tara O.
    JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2024, 116 (06): : 885 - 894
  • [43] FAMUS I: Risk-based design of offshore oil and gas production system - management of uncertainties by integrating flow assurance and reliability aspects into a stochastic Petri nets model
    Dejean, J. -P.
    Averbuch, D.
    Maurel, P.
    Gainville, M.
    Guet, S.
    Johnsen, O.
    RISK, RELIABILITY AND SOCIETAL SAFETY, VOLS 1-3: VOL 1: SPECIALISATION TOPICS; VOL 2: THEMATIC TOPICS; VOL 3: APPLICATIONS TOPICS, 2007, : 2443 - 2450
  • [44] Extended Risk-Based Monitoring Model, On-Demand Query-Driven Source Data Verification, and Their Economic Impact on Clinical Trial Operations
    Vadim Tantsyura
    Imogene McCanless Dunn
    Joel Waters
    Kaye Fendt
    Yong Joong Kim
    Deborah Viola
    Jules Mitchel
    Therapeutic Innovation & Regulatory Science, 2016, 50 : 115 - 122
  • [45] Extended Risk-Based Monitoring Model, On-Demand Query-Driven Source Data Verification, and Their Economic Impact on Clinical Trial Operations
    Tantsyura, Vadim
    Dunn, Imogene McCanless
    Waters, Joel
    Fendt, Kaye
    Kim, Yong Joong
    Viola, Deborah
    Mitchel, Jules
    THERAPEUTIC INNOVATION & REGULATORY SCIENCE, 2016, 50 (01) : 115 - 122
  • [46] A risk-based model to assess environmental justice and coronary heart disease burden from traffic-related air pollutants
    James P. Fabisiak
    Erica M. Jackson
    LuAnn L. Brink
    Albert A. Presto
    Environmental Health, 19
  • [47] A risk-based model to assess environmental justice and coronary heart disease burden from traffic-related air pollutants
    Fabisiak, James P.
    Jackson, Erica M.
    Brink, LuAnn L.
    Presto, Albert A.
    ENVIRONMENTAL HEALTH, 2020, 19 (01)
  • [48] Impact of Using Risk-Based Stratification on Referral of Patients With Chronic Kidney Disease From Primary Care to Specialist Care in the United Kingdom
    Bhachu, Harjeet K.
    Cockwell, Paul
    Subramanian, Anuradhaa
    Adderley, Nicola J.
    Gokhale, Krishna
    Fenton, Anthony
    Kyte, Derek
    Nirantharakumar, Krishnarajah
    Calvert, Melanie
    KIDNEY INTERNATIONAL REPORTS, 2021, 6 (08): : 2189 - 2199
  • [49] What can we expect from a good margin model? Observations from whole-distribution tests of risk-based initial margin models
    Murphy, David
    JOURNAL OF RISK MODEL VALIDATION, 2023, 17 (02): : 59 - 81
  • [50] Developing and validating a model for risk-based differentiation of HIV prevention and testing services for female sex workers: Experiences from Maharashtra, India
    Kirubakaran, J.
    Gabhane, L.
    Deoraj, P.
    Setia, M.
    Goswami, P.
    Panyam, S.
    Patil, J.
    Parthasarathy, M. R.
    Doddamane, M.
    Shreenivas, G. S.
    Baishya, J.
    George, B.
    JOURNAL OF THE INTERNATIONAL AIDS SOCIETY, 2019, 22 : 78 - 78