Multidimensional resilience decision-making on a multistage high-speed axial compressor

authored by: Julian Salomon, Jasper Behrensdorf, Matteo Broggi, Stefan Weber, Michael Beer
Abstract: The resilience of complex systems such as gas turbines, industrial plants, or critical infrastructure networks is of increasingly higher interest to engineers. Instead of solely concentrating on the robustness of systems and their ability to withstand certain threats, research is more and more focused on their ability to recover from these events as well. Appropriate quantitative measures of resilience can support decision-makers seeking to improve or to design complex systems. In this paper, a previously developed comprehensive and adaptable resilience-based decision-making method is extended to handle higher-dimensional problems subject to monetary constraints. The technique applies a grid search algorithm for systemic risk measures to significantly reduce the computational effort. In order to demonstrate its usefulness, the extended decision-making procedure is applied to a functional model of a multistage high-speed axial compressor.
Organisation(s): Institute for Risk and Reliability
Institute of Actuarial and Financial Mathematics
CRC 871 Regeneration of Complex Capital Goods
External Organisation(s): University of Liverpool
Tongji University
Type: Conference contribution
Pages: 1357-1364
No. of pages: 8
Publication date: 2020
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Safety, Risk, Reliability and Quality, Safety Research
Electronic version(s): https://doi.org/10.3850/978-981-11-2724-3_0992-cd (Access: Closed)