The role of multi-fidelity modelling in adaptation and recovery of engineering systems

Conference Paper (2022)
Author(s)

Rui Teixeira (University College Dublin)

Beatriz Martinez-Pastor (University College Dublin)

M. Nogal (TU Delft - Integral Design & Management)

Alexandra Micu (Trinity College Dublin)

Alan O'Connor (Trinity College Dublin)

Research Group
Integral Design & Management
Copyright
© 2022 Rui Teixeira, Beatriz Martinez-Pastor, M. Nogal Macho, Alexandra Micu, Alan O'Connor
DOI related publication
https://doi.org/10.14311/APP.2022.36.0224
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Rui Teixeira, Beatriz Martinez-Pastor, M. Nogal Macho, Alexandra Micu, Alan O'Connor
Research Group
Integral Design & Management
Pages (from-to)
224-230
ISBN (electronic)
9788001070352
Reuse Rights

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Abstract

Significant research has been conducted in identifying optimal recovery and adaptation decisions in disruptive scenarios using engineering models. In this context, an aspect that has been target of limited research is that of response times. Modelling is expected to grow progressively more complex as it becomes more accurate. Such complexity increases modelling efforts, and the promise of optimal adaptation and recovery may become hindered. The present work discusses the role of modelling fidelities in adaptation and recovery of systems, and in particular that of using a lower fidelity model that enables zero-time analyses of a system. A framework is proposed for using different fidelities in adaptation and recovery, considering system's decision time requirements. The relevance of this analysis is researched in two traffic networks and results show that multi-fidelity models should be expected to play a key role in increasing the efficiency of optimal adaptation and recovery decisions.