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Critical Infrastructure Resilience: A Co-simulation Co-design Approach / CONLETH UNAEZE

Swansea University Author: CONLETH UNAEZE

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DOI (Published version): 10.23889/SUthesis.64849

Abstract

Context: Critical Infrastructure (CI) are complex and expensive systems requiredglobally for proper functioning of societies, communities, regions and countriesto meet performance needs of form, fitness, function within various constraints.The traditional approach for delivery of these systems is ba...

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Published: Swansea, Wales, UK 2023
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Li, Chengfeng
URI: https://cronfa.swan.ac.uk/Record/cronfa64849
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first_indexed 2023-11-01T10:28:44Z
last_indexed 2023-11-01T10:28:44Z
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spelling v2 64849 2023-11-01 Critical Infrastructure Resilience: A Co-simulation Co-design Approach 8afeef353c3dc824f440a22aa726d604 CONLETH UNAEZE CONLETH UNAEZE true false 2023-11-01 Context: Critical Infrastructure (CI) are complex and expensive systems requiredglobally for proper functioning of societies, communities, regions and countriesto meet performance needs of form, fitness, function within various constraints.The traditional approach for delivery of these systems is based on single discipline analyses, code prescriptions, experience of Design-Houses (DH) and Infrastructure Decision-makers. Problem: Existing high-fidelity closed-form solution approaches have not kept pace with new technologies. Also owing to complexity, it is not often possible to determine all systems perturbations apriori, particularly evolving anthropogenic activities. Further, the Decision-makers tasked with critical Infrastructure throughlife delivery are confronted with multiple conflicting decision variables across the asset lifecycle. Efficient, flexible, fast, scale-able and reliable loose-coupled reduced order approaches are required to meet emerging critical infrastructure delivery needs. Contribution: A scale-able flexible and reliable loose-coupled global system math model for critical infrastructure delivery is presented in this thesis, framed after the defence-in-depth design philosophy of the nuclear sector. A stylised virtual city co-design co-simulation is presented as proof-of concept. Evaluation: The devised reduced order model of the high-fidelity complex systems representation of critical infrastructures are solved using partial differential equations, sparse regression and error analysis. Conclusion: A conceptual mathematical model approach to co-simulation co-design of critical infrastructure delivery can successfully support delivery for asset through-life resilience. E-Thesis Swansea, Wales, UK Resilience, Critical Infrastructure, Co-simulation, Co-design, Reduced order model, Sparse regression 7 8 2023 2023-08-07 10.23889/SUthesis.64849 Full text is not available from this website as the thesis contains commercially sensitive material. COLLEGE NANME COLLEGE CODE Swansea University Li, Chengfeng Doctoral Ph.D Employer CPD Programme (Costain Ltd.) Employer CPD Programme (Costain Ltd.) 2024-03-15T16:46:22.7369987 2023-11-01T10:21:52.5758132 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering CONLETH UNAEZE 1
title Critical Infrastructure Resilience: A Co-simulation Co-design Approach
spellingShingle Critical Infrastructure Resilience: A Co-simulation Co-design Approach
CONLETH UNAEZE
title_short Critical Infrastructure Resilience: A Co-simulation Co-design Approach
title_full Critical Infrastructure Resilience: A Co-simulation Co-design Approach
title_fullStr Critical Infrastructure Resilience: A Co-simulation Co-design Approach
title_full_unstemmed Critical Infrastructure Resilience: A Co-simulation Co-design Approach
title_sort Critical Infrastructure Resilience: A Co-simulation Co-design Approach
author_id_str_mv 8afeef353c3dc824f440a22aa726d604
author_id_fullname_str_mv 8afeef353c3dc824f440a22aa726d604_***_CONLETH UNAEZE
author CONLETH UNAEZE
author2 CONLETH UNAEZE
format E-Thesis
publishDate 2023
institution Swansea University
doi_str_mv 10.23889/SUthesis.64849
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 0
active_str 0
description Context: Critical Infrastructure (CI) are complex and expensive systems requiredglobally for proper functioning of societies, communities, regions and countriesto meet performance needs of form, fitness, function within various constraints.The traditional approach for delivery of these systems is based on single discipline analyses, code prescriptions, experience of Design-Houses (DH) and Infrastructure Decision-makers. Problem: Existing high-fidelity closed-form solution approaches have not kept pace with new technologies. Also owing to complexity, it is not often possible to determine all systems perturbations apriori, particularly evolving anthropogenic activities. Further, the Decision-makers tasked with critical Infrastructure throughlife delivery are confronted with multiple conflicting decision variables across the asset lifecycle. Efficient, flexible, fast, scale-able and reliable loose-coupled reduced order approaches are required to meet emerging critical infrastructure delivery needs. Contribution: A scale-able flexible and reliable loose-coupled global system math model for critical infrastructure delivery is presented in this thesis, framed after the defence-in-depth design philosophy of the nuclear sector. A stylised virtual city co-design co-simulation is presented as proof-of concept. Evaluation: The devised reduced order model of the high-fidelity complex systems representation of critical infrastructures are solved using partial differential equations, sparse regression and error analysis. Conclusion: A conceptual mathematical model approach to co-simulation co-design of critical infrastructure delivery can successfully support delivery for asset through-life resilience.
published_date 2023-08-07T16:46:18Z
_version_ 1793611455275204608
score 11.016302

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