Risk-Based Inspection Planning of Deteriorating Structures

Published In

Structure and Infrastructure Engineering

Document Type

Citation

Publication Date

3-23-2021

Abstract

Structural deterioration due to environmental and mechanical stressors is a major concern for civil and marine structures. Inspection actions can reduce uncertainties, facilitate decision-making on maintenance, and in general assist life-cycle management. Risk-based inspection (RBI) planning is a useful tool to minimize life-cycle cost while preserving safety margin of structures. This paper compares (a) static RBI (SRBI) planning where inspection schedule and maintenance criteria are time- and evidence-invariant and (b) adaptive RBI (ARBI) planning where decisions on inspection and maintenance (I&M) are made sequentially and reactively to I&M actions. Specifically, three RBI planning methods, i.e., SRBI with Monte Carlo simulation, ARBI based on Bayesian networks, and ARBI based on partially observable Markov decision processes (POMDP), are compared based on a generic Markovian deterioration model (MDM). In addition, it is demonstrated that ARBI planning can be extended from MDMs to many physics-based deterioration models such as corrosion and fatigue models. The advantages and disadvantages of different RBI planning methods are summarized. Potentials of ARBI planning are also discussed.

Rights

Copyright © 2021 Informa UK Limited

DOI

10.1080/15732479.2021.1907600

Persistent Identifier

https://archives.pdx.edu/ds/psu/35625

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