Originally published in:Sustainable and Resilient Infrastructure , http://doi.org/10.1080/23789689.2017.1364560 Rights / License:Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH LibraryFull Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tsri20 Disaster resilience of civil infrastructure systems is essential to security and economic stability of communities. The novel compositional demand/supply resilience framework named Re-CoDeS (Resilience-Compositional Demand/Supply) generalizes the concept of disaster resilience across the spectrum of civil infrastructure systems by accounting not only for the ability of the civil infrastructure system to supply its service to the community, but also for the community demand for such service in the aftermath of a disaster. A Lack of Resilience is consequently observed when the demand for service cannot be fully supplied. Normalized resilience measures are proposed to allow for direct comparisons between different civil infrastructure systems at component and system levels. A scheme is introduced to classify component and system configurations with respect to their resilience. In addition to quantify the resilience of civil infrastructure systems, Re-CoDeS can be used to evaluate or design community risk mitigation strategies and to optimize post-disaster recovery.

A Rapid Visual Damage Assessment was initiated in the direct aftermath of the 2015 Gorkha earthquake to assess the safety and damage of residential buildings in the areas affected by the earthquake. Over 30,000 paper assessment forms have been subsequently digitized. The collected data set allows comparison of the observed damage to the residential building stock to the damage expected using existing fragility curves. Under certain conditions and respecting certain limitations, the post-earthquake building safety and damage data can be used to update the existing fragility functions for the Nepalese building stock. Recommendations are made for the improvement of post-earthquake building safety assessments in Nepal in order to: (1) make data collection more consistent, (2) increase the accuracy of the collected data, and (3) make more effective use of the collected data after future earthquakes.

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Abstract. Research from the past ten years shows that the seismic fragilities of different in-

Disaster resilient civil infrastructure systems are essential for disaster resilient communities. Measuring the resilience of these systems is the first step towards their improvement. This, however, is not easy: civil infrastructure systems are highly complex, operate in different ways, and are affected differently in different disasters. Adding to the complexity are the interdependencies among different systems. The Re-CoDeS framework for quantifying disaster resilience measures the lack of resilience of a system (e.g., a community) as the amount of the system’s unmet demand for a considered resource or service over the resilience assessment interval. This paper extends the Re-CoDeS framework by considering component interdependencies using a demand/supply approach: whenever the demand of a component is not met by the currently available supply capacity of the system, that component ceases to operate and its supply capacity decreases. Interdependency relations among components can change during the resilience assessment interval as the components’ functionality recovers following a disaster. The proposed iRe-CoDeS framework is demonstrated on a virtual community served by three interdependent civil infrastructure systems producing five types of resources and services.

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