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Although the natural gas pipeline network is the most efficient and secure transportation mode for natural gas, it remains susceptible to external and internal risk factors. It is vital to address the associated risk factors such as corrosion, third-party interference, natural disasters, and equipment faults, which may lead to pipeline leakage or failure. The conventional quantitative risk assessment techniques require massive historical failure data that are sometimes unavailable or vague. Experts or researchers in the same field can always provide insights into the latest failure assessment picture. In this paper, fuzzy set theory is employed by obtaining expert elicitation through linguistic variables to obtain the failure probability of the top event (pipeline failure). By applying a combination of T- and S-Norms, the fuzzy aggregation approach can enable the most conservative risk failure assessment. The findings from this study showed that internal factors, including material faults and operational errors, significantly impact the pipeline failure integrity. Future directions should include sensitivity analyses to address the uncertainty in data to ensure the reliability of assessment results.
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Abstracts for assessments: Describing a summary statement.
Quantitative assessment development is a challenging process. The ways in which an assessment might be used, as well as how its score can be interpreted should be clear to intended users. This manuscript provides a discussion about important and useful elements that should be provided by assessment developers. In turn, this information can foster greater usability and portability of quantitative assessments, which can support scholarship focusing on a specific issue.
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- Award ID(s):
- 1920621
- PAR ID:
- 10332431
- Editor(s):
- Olanoff, D.; Johnson, K.; Spitzer, S.
- Date Published:
- Journal Name:
- Psychology of Mathematics Education North America
- Page Range / eLocation ID:
- 1854-1858
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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