The role of multi-fidelity modelling in adaptation and recovery of engineering systems
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 a...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
CTU Central Library
2022-08-01
|
Series: | Acta Polytechnica CTU Proceedings |
Subjects: | |
Online Access: | https://ojs.cvut.cz/ojs/index.php/APP/article/view/8405 |
_version_ | 1811267815703838720 |
---|---|
author | Rui Teixeira Beatriz Martinez-Pastor Maria Nogal Alexandra Micu Alan O’Connor |
author_facet | Rui Teixeira Beatriz Martinez-Pastor Maria Nogal Alexandra Micu Alan O’Connor |
author_sort | Rui Teixeira |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T21:10:35Z |
format | Article |
id | doaj.art-82e1ecc9d1a947328c3fcb5098e8acd4 |
institution | Directory Open Access Journal |
issn | 2336-5382 |
language | English |
last_indexed | 2024-04-12T21:10:35Z |
publishDate | 2022-08-01 |
publisher | CTU Central Library |
record_format | Article |
series | Acta Polytechnica CTU Proceedings |
spelling | doaj.art-82e1ecc9d1a947328c3fcb5098e8acd42022-12-22T03:16:36ZengCTU Central LibraryActa Polytechnica CTU Proceedings2336-53822022-08-013622423010.14311/APP.2022.36.02245645The role of multi-fidelity modelling in adaptation and recovery of engineering systemsRui Teixeira0Beatriz Martinez-Pastor1Maria Nogal2Alexandra Micu3Alan O’Connor4University College Dublin, School of Civil Engineering, A Richview Newstead Belfield, Dublin 4, IrelandUniversity College Dublin, School of Civil Engineering, A Richview Newstead Belfield, Dublin 4, IrelandTechnical University Delft, Department of Materials, Mechanics, Management & Design, Stevinweg 1, 2628 CN Delft, The NetherlandsTrinity College Dublin, School of Civil, structural and Environmental Engineering, College Green, Dublin 2, IrelandTrinity College Dublin, School of Civil, structural and Environmental Engineering, College Green, Dublin 2, IrelandSignificant 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.https://ojs.cvut.cz/ojs/index.php/APP/article/view/8405metamodelsmulti-fidelity modelsystem adaptationsystem recoverysystems |
spellingShingle | Rui Teixeira Beatriz Martinez-Pastor Maria Nogal Alexandra Micu Alan O’Connor The role of multi-fidelity modelling in adaptation and recovery of engineering systems Acta Polytechnica CTU Proceedings metamodels multi-fidelity model system adaptation system recovery systems |
title | The role of multi-fidelity modelling in adaptation and recovery of engineering systems |
title_full | The role of multi-fidelity modelling in adaptation and recovery of engineering systems |
title_fullStr | The role of multi-fidelity modelling in adaptation and recovery of engineering systems |
title_full_unstemmed | The role of multi-fidelity modelling in adaptation and recovery of engineering systems |
title_short | The role of multi-fidelity modelling in adaptation and recovery of engineering systems |
title_sort | role of multi fidelity modelling in adaptation and recovery of engineering systems |
topic | metamodels multi-fidelity model system adaptation system recovery systems |
url | https://ojs.cvut.cz/ojs/index.php/APP/article/view/8405 |
work_keys_str_mv | AT ruiteixeira theroleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT beatrizmartinezpastor theroleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT marianogal theroleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT alexandramicu theroleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT alanoconnor theroleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT ruiteixeira roleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT beatrizmartinezpastor roleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT marianogal roleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT alexandramicu roleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems AT alanoconnor roleofmultifidelitymodellinginadaptationandrecoveryofengineeringsystems |