Risk measures for pipeline safety

In the present study, risk measures such as personal risk, expected loss, and F-N curves are compared against novel risk measures such as Value-at-Risk (VaR), Conditional Value-at-Risk (CvaR), and expected utility.Selected risk measures are assessed for their compatibility to use under two different decision-making conditions; (1) to demonstrate acceptable risk to external stakeholders, and (2) to optimize asset management.For this purpose, the selected risk measures are evaluated for (1) ease of risk aggregation across asset types and various consequence outcomes; (2) ability to transform risk results to represent multiple time horizons or physical extents; (3) minimizing uncertainty in the estimated risk measure; and (4) ability to apply life-cycle optimization approaches.Outcomes of this study are applicable to life-cycle risk assessment of other critical linear infrastructure such as highways, railways, and high-voltage electrical transmission lines.

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Published
2025-01-01
DOI
https://doi.org/10.23967/icossar.2025.051
Primary Topic
Structural Integrity and Reliability Analysis
Type
article
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article

Risk measures for pipeline safety

Srinivas V. Koduru
Structural Integrity and Reliability Analysis
article

Risk measures for pipeline safety

Srinivas V. Koduru
article en

Abstract

In the present study, risk measures such as personal risk, expected loss, and F-N curves are compared against novel risk measures such as Value-at-Risk (VaR), Conditional Value-at-Risk (CvaR), and expected utility.Selected risk measures are assessed for their compatibility to use under two different decision-making conditions; (1) to demonstrate acceptable risk to external stakeholders, and (2) to optimize asset management.For this purpose, the selected risk measures are evaluated for (1) ease of risk aggregation across asset types and various consequence outcomes; (2) ability to transform risk results to represent multiple time horizons or physical extents; (3) minimizing uncertainty in the estimated risk measure; and (4) ability to apply life-cycle optimization approaches.Outcomes of this study are applicable to life-cycle risk assessment of other critical linear infrastructure such as highways, railways, and high-voltage electrical transmission lines.

University of Alberta (CA)
Climate action
Openalex Percentile: Top 86%
Structural Integrity and Reliability Analysis
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