Effect of deterioration on critical infrastructure resilience – framework and application on bridges

• This paper aims to account for the role of deterioration in the calculation of both the loss model and the recovery model that are necessary steps to assess the seismic resilience (SR) of infrastructures. • Losses were considered dependent on the level of deterioration because the structural behaviour is influenced by the reduced structural performance. • Both the recovery time and the shape of the recovery function were considered dependent on the level of deterioration prior to the hazard occurrence. • This paper proposes to define the impact of deterioration on the loss and the recovery model, to allow more accurate resilience assessments on bridge. Realistic assessment of the structural state due to ageing and consequent deterioration of infrastructure is fundamental in assessing its resilience. Yet current methods have not integrated deterioration due to ageing in such assessments. This paper proposes a new framework for the assessment of the effect of deterioration on the resilience of critical infrastructure, with a focus on bridges. The method introduces a three-step process. First, different fit-for purpose materials have been implemented for the calculation of the loss model when the material properties are known. The second step involves the development of hazard-specific fragility models to estimate loss in performance. In the third step, the restoration of the assets is performed to compare the different performance of the configurations which leads to different resilience quantifications. The main outcome of the paper is the quantification of resilience by considering that the speed of recovery is not being affected by the deterioration (Scenario 1). For more realistic resilience assessments, a further scenario (Scenario 2) analyses the role of deterioration in the recovery process, by implementing different capacity reduction rates. The main conclusion of the research is the impact of different levels of deterioration over the years of operation of the bridge. The framework is also applied to estimate the seismic resilience of a bridge with different deterioration scenarios.

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Publication Details

Journal
Results in Engineering
Published
2024-12-26
DOI
https://doi.org/10.1016/j.rineng.2024.103834
Citations
59
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
15.39
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article

Effect of deterioration on critical infrastructure resilience – framework and application on bridges

Davide Forcellini, Stergios-Aristoteles Mitoulis
59 citations
Results in Engineering
Infrastructure Resilience and Vulnerability Analysis
15.39
article

Effect of deterioration on critical infrastructure resilience – framework and application on bridges

Davide Forcellini, Stergios-Aristoteles Mitoulis
article en
59 citations

Abstract

• This paper aims to account for the role of deterioration in the calculation of both the loss model and the recovery model that are necessary steps to assess the seismic resilience (SR) of infrastructures. • Losses were considered dependent on the level of deterioration because the structural behaviour is influenced by the reduced structural performance. • Both the recovery time and the shape of the recovery function were considered dependent on the level of deterioration prior to the hazard occurrence. • This paper proposes to define the impact of deterioration on the loss and the recovery model, to allow more accurate resilience assessments on bridge. Realistic assessment of the structural state due to ageing and consequent deterioration of infrastructure is fundamental in assessing its resilience. Yet current methods have not integrated deterioration due to ageing in such assessments. This paper proposes a new framework for the assessment of the effect of deterioration on the resilience of critical infrastructure, with a focus on bridges. The method introduces a three-step process. First, different fit-for purpose materials have been implemented for the calculation of the loss model when the material properties are known. The second step involves the development of hazard-specific fragility models to estimate loss in performance. In the third step, the restoration of the assets is performed to compare the different performance of the configurations which leads to different resilience quantifications. The main outcome of the paper is the quantification of resilience by considering that the speed of recovery is not being affected by the deterioration (Scenario 1). For more realistic resilience assessments, a further scenario (Scenario 2) analyses the role of deterioration in the recovery process, by implementing different capacity reduction rates. The main conclusion of the research is the impact of different levels of deterioration over the years of operation of the bridge. The framework is also applied to estimate the seismic resilience of a bridge with different deterioration scenarios.

Results in EngineeringVol. 25
University of the Republic of San Marino (SM), University of Birmingham (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Infrastructure Resilience and Vulnerability Analysis
15.39
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