A General Framework for Probabilistic Risk-based Optimization of Life-cycle Management of Infrastructure Systems under Gradual and Sudden Deterioration

Infrastructure systems are continuously subjected to various deterioration mechanisms. Due to the presence of uncertainties associated with the loads, material properties, damage occurrence and propagation, and modeling the structural performance, among others, the life-cycle management of deteriorating structural systems represents a major challenge, especially when considering the effects of sudden damage. Although various performance indicators can be used within the life-cycle management of infrastructure systems, risk-based approaches are well-suited for this task. This is due to the ability to integrate the probabilistic performance with the consequences arising from structural collapse or failure of different components within an infrastructure system. This paper presents a general framework for the probabilistic risk-based optimization of life-cycle management of infrastructure systems under the effects of gradual and sudden deterioration. The management scheme covers the identification of optimal inspection, monitoring, and maintenance/repair activities which minimize the life-cycle cost, extend the service life, and/or maximize the performance of the structure throughout its projected service life. Uncertainties associated with the various stages of the life-cycle management are included. Additionally, several case studies for the implementation of the framework are discussed.

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