Print Email Facebook Twitter A virtual experiment for measuring system resilience: a case of chemical process systems Title A virtual experiment for measuring system resilience: a case of chemical process systems Author Sun, H. (TU Delft Safety and Security Science; China University of Petroleum (East China)) Yang, M. (TU Delft Safety and Security Science; Universiti Teknologi Malaysia) Wang, Haiqing (China University of Petroleum (East China)) Date 2022 Abstract Resilience is an emergent property of a system, which changes with various internal and external factors. Resilience is also a hidden property of a system that cannot be observed. Thus, experiments should be performed for a given system to measure its resilience. However, physical experiments are practically impossible. Inspired by the tensile test for the stress-strain curve in Material Science, this paper proposes a virtual experiment for measuring system resilience and applies it to a chemical process system. The physical parameters of system resilience of a process system are mapped to those of material resilience. A process system is viewed as a 'specimen' in this experiment. The system performance variation caused by disruptions is seen as the displacement of the specimen caused by the applied load. In absorption phase, the decrease speed of system performance is determined by the failure rate of components under disruptive condition. Response time, including fault diagnosis time and resource allocation time, is used to represent adaptation ability. Restoration ability depends on repair rate of components. For simplicity purpose, the proposed method is applied to resilience assessment of a release prevention barrier system used in the Chevron Richmond refinery crude unit and its associated upstream process. Subject resilienceprocess safetychemical process systemhazardous operation To reference this document use: http://resolver.tudelft.nl/uuid:aaac9208-ae4d-4d82-8bfb-c04be7b20505 DOI https://doi.org/10.1016/j.ress.2022.108829 ISSN 0951-8320 Source Reliability Engineering & System Safety, 228 (108829) Part of collection Institutional Repository Document type journal article Rights © 2022 H. Sun, M. Yang, Haiqing Wang Files PDF 1-s2.0-S0951832022004483-main.pdf 3.78 MB Close viewer /islandora/object/uuid:aaac9208-ae4d-4d82-8bfb-c04be7b20505/datastream/OBJ/view