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

Rui Teixeira*, Beatriz Martinez-Pastor, Maria Nogal, Alexandra Micu, Alan O'Connor

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.

Original languageEnglish
Title of host publicationInternational Probabilistic Workshop 2022, IPW 2022
EditorsMiroslav Sykora, Roman Lenner, Nico de Koker
PublisherCzech Sustainable Building Society Czech Technical University in Prague Klokner Institute of Czech Technical University in Prague IISBE, CIB, UNEP
Pages224-230
Number of pages7
ISBN (Electronic)9788001070352
DOIs
Publication statusPublished - 2022
Event19th International Probabilistic Workshop, IPW 2022 - Stellenbosch, South Africa
Duration: 8 Sept 20229 Sept 2022

Publication series

NameActa Polytechnica CTU Proceedings
Volume36
ISSN (Electronic)2336-5382

Conference

Conference19th International Probabilistic Workshop, IPW 2022
Country/TerritorySouth Africa
CityStellenbosch
Period8/09/229/09/22

Keywords

  • Metamodels
  • multi-fidelity model
  • system adaptation
  • system recovery
  • systems

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