E-Thesis 126 views
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...
| Published: |
Swansea, Wales, UK
2023
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| 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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| 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 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. |
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| Item Description: |
Full text is not available from this website as the thesis contains commercially sensitive material. |
| Keywords: |
Resilience, Critical Infrastructure, Co-simulation, Co-design, Reduced order model, Sparse regression |
| College: |
Faculty of Science and Engineering |
| Funders: |
Employer CPD Programme (Costain Ltd.) |