A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Risk-based inspection planning of deteriorating structures
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.
Risk-based inspection planning of deteriorating structures
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.
Risk-based inspection planning of deteriorating structures
Yang, David Y. (author) / Frangopol, Dan M. (author)
Structure and Infrastructure Engineering ; 18 ; 109-128
2021-03-23
20 pages
Article (Journal)
Electronic Resource
Unknown
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