Risk Informed Structural Systems Integrity Management:A Decision Analytical Perspective

The present paper is predominantly a conceptual contribution with an appraisal of major developments in risk informed structural integrity management for offshore installations together with a discussion of their merits and the challenges which still lie ahead. Starting point is taken in a selected...

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Bibliographic Details
Published in:Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium
Main Author: Nielsen, Michael Havbro Faber
Format: Article in Journal/Newspaper
Language:English
Published: American Society of Mechanical Engineers 2017
Subjects:
Online Access:https://vbn.aau.dk/da/publications/a8e5e125-cabd-4014-8d36-ae592dbe496e
https://doi.org/10.1115/OMAE2017-62715
Description
Summary:The present paper is predominantly a conceptual contribution with an appraisal of major developments in risk informed structural integrity management for offshore installations together with a discussion of their merits and the challenges which still lie ahead. Starting point is taken in a selected overview of research and development contributions which have formed the basis for Risk Based Inspection Planning (RBI) as we know it today. Thereafter an outline of the methodical basis for risk informed structural systems integrity management, i.e. the Bayesian decision analysis is provided in summary. The main focus is here directed on RBI for offshore facilities subject to fatigue damages. New ideas and methodical frameworks in the area of robustness and resilience modeling of structural systems are then introduced, and it is outlined how these may adequately be utilized to enhance Structural Integrity Management (SIM). Finally, the concept of Value of Information analysis (VoI) from the Bayesian pre-posterior decision analysis is proposed, as an overarching methodical platform for the planning and optimization of structural Health Monitoring (SHM) activities in the context of SIM at both operational and strategic levels. Copyright © 2017 by ASME