Quantitative resilience assessment for civil infrastructure with dynamic deterioration processes

Civil infrastructure is increasingly vulnerable to deterioration threats (such as corrosion) due to climate change. This deterioration process can change the resilience of civil infrastructure to natural disasters. This paper presents a resilience quantification framework for civil infrastructure with dynamic deterioration processes. Within this framework, a time-homogeneous Markov process is used to model the temporal evolution of civil infrastructure performance, based on which its resilience is quantified. Four resilience measures (resistance, absorption, recovery, and overall resilience) are further introduced to characterise the key dimensions of infrastructure resilience. Besides, the framework is applied to a case study of a bridge in Ontario, Canada, using real condition data to assess its resilience. The findings affirm that the framework effectively characterises the resilience of civil infrastructure facing deterioration and offers practical insights for civil infrastructure designers and operators, enhancing their ability to predict resilience and improve maintenance strategies.