System Effects in Generic Risk-Based Inspection Planning

Daniel Straub; Michael Havbro Faber

doi:10.1115/1.1782642

Journal of Offshore Mechanics and Arctic Engineering | Volume 126 | Issue 3 | TECHNICAL PAPERS

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TECHNICAL PAPERS

System Effects in Generic Risk-Based Inspection Planning

Daniel Straub and Michael Havbro Faber

[+] Author and Article Information

Daniel Straub, Michael Havbro Faber

Swiss Federal Institute of Technology, IBK, ETH Hönggerberg, 8093 Zürich, Switzerland

J. Offshore Mech. Arct. Eng 126(3), 265-271 (Sep 20, 2004) (7 pages) doi:10.1115/1.1782642 History: Received September 23, 2002; Revised July 18, 2003; Online September 20, 2004

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References

Figures

Illustration of the cost of inspection as a function of number of inspections

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Illustration of possible consequences dependent on the number of failed hot spots

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The general decision tree

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Probabilities of failure of a hot spot with respect to the FDF as evaluated according to the probabilistic model presented in the Annex

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Total expected cost for different inspection strategies for a specific single hot spot with FDF=2

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Illustration of the modular optimization approach

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Updating of a dependent hot spot after 20 inspections at t=10 yr, where ND stands for no detection, SD for detection of a crack less than 1 mm deep and LD for detection of a crack deeper than 1 mm

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Total expected cost with respect to the FDF for two different inspection strategies

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Relative share of the total expected cost over time for two different inspection strategies (averaged over the different FDF) and as given by Eq. (6) (the interest rate r is 0.05, service life SL is 20 years)

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Benefit of a hot spot with FDF=2 from inspection of a correlated hot spot at time 5, 10, or 15 years and for different FDF of the inspected hot spot

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EVSI of a hot spot with FDF=2 for different combinations of inspection

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Benefits, respectively cost, with respect to the number of performed relative to not performing any inspection

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Straub D, Faber M. System Effects in Generic Risk-Based Inspection Planning. ASME. J. Offshore Mech. Arct. Eng. 2004;126(3):265-271. doi:10.1115/1.1782642.

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System Effects in Generic Risk-Based Inspection Planning

References

Figures

Illustration of the cost of inspection as a function of number of inspections

Illustration of possible consequences dependent on the number of failed hot spots

The general decision tree

Probabilities of failure of a hot spot with respect to the FDF as evaluated according to the probabilistic model presented in the Annex

Total expected cost for different inspection strategies for a specific single hot spot with FDF=2

Illustration of the modular optimization approach

Updating of a dependent hot spot after 20 inspections at t=10 yr, where ND stands for no detection, SD for detection of a crack less than 1 mm deep and LD for detection of a crack deeper than 1 mm

Total expected cost with respect to the FDF for two different inspection strategies

Relative share of the total expected cost over time for two different inspection strategies (averaged over the different FDF) and as given by Eq. (6) (the interest rate r is 0.05, service life SL is 20 years)

Benefit of a hot spot with FDF=2 from inspection of a correlated hot spot at time 5, 10, or 15 years and for different FDF of the inspected hot spot

EVSI of a hot spot with FDF=2 for different combinations of inspection

Benefits, respectively cost, with respect to the number of performed relative to not performing any inspection

Tables

Errata

Discussions

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