Development of an Urban Resilience Analysis Framework with Application to Norfolk, VA

A test-based methodology for the probabilistic assessment of system resilience under random disturbances

“…Based on these resilience measures, many researchers proposed resilience analysis and evaluation frameworks. [15][16][17][18][19] These frameworks are similar, and can be summarized as: (1) system and disturbance identification; (2) define resilience goals; (3) determine the resilience quantitative model; (4) apply the model to assess the system resilience; and (5) provide resilience improvement suggestions and evaluate its effects. Considering the randomness of both disturbance and system's response, Francis and Bekera 17 analyzed the system resilience with the occurrence probability of hurricanes; Shafieezadeh and Ivey Burden 14 offered a probabilistic framework for scenario-based resilience assessment of infrastructure systems, and considered the uncertainties in the assessment process, including the correlation of the disturbance intensity measures, fragility assessment of structural components, estimation of repair requirements, the repair process and the service demands; Gama Dessavre et al 20 introduced the ''stress'' concept in material science to relate the effects of a disruptive event to the events characteristics, defined the overall resilience as the average resilience of the system under different disturbance stresses; Panteli and Mancarella 21 applied the sequential Monte-Carlobased time-series simulation model to quantify the resilience of electrical power systems under random extreme weather events; Zhao et al, 22 Osei-Asamoah and Lownes, 23 and Kim et al 24 analyzed the resilience of the supply network, the surface transportation network and the power grid system against both random and target disruptions, respectively.…”