Resilience analysis of urban infrastructures such as sewerage systems is very important due to different stressors. Failure in these infrastructures may lead to economic, social, health and environmental consequences. The functional resilience of systems can be analyzed in all failure levels caused by unpredictable or even unknown events based on the global resilience analysis (GRA) method. To perform GRA under different scenarios of pipe collapse and blockage, the performance of the system must be evaluated in all possible link failure combinations. The time of this process might be unfeasibly long in real sewerage networks. In this paper, an open-source toolbox is developed which uses a proposed scenario selection method based on roulette wheel to perform GRA without simulating all possible scenarios. This toolbox is based on a proposed O-SWMM API which is a developed version of EPA’s Storm Water Management Model (SWMM) to optimize simulation time and memory usage. The results show that the mean resilience for a sample and also a real sewer network was estimated by the proposed method with RMSE less than 0.025 and 0.022 respectively comparing with simulating all possible scenarios. Moreover, the GRA computation using O-SWMM API was at least 2.26 times faster than SWMM.exe

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