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Network Theory Approach to Analysing Knock-On Effects in Rail Vehicle Design
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle engineering and technical acoustics. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.ORCID iD: 0000-0001-9518-0056
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.ORCID iD: 0000-0003-1583-4625
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.ORCID iD: 0000-0003-0176-5358
2024 (English)In: The Sixth International Conference on Railway Technology: Research, Development and Maintenance, 2024Conference paper, Published paper (Refereed)
Abstract [en]

Rail vehicle models have become increasingly complex, posing challenges in extracting insights using traditional model representations as they require numerous iterations to achieve a satisfactory solution. This complexity leads to high computational and time costs and possibly resulting in inefficient vehicle design. To alleviate these limitations, network models are proposed as an alternative representation in this paper. These models enable the analysis of structure, behaviour, and patterns of interactions, facilitating an understanding of knock-on effects across disciplines and subsystems. The terminology, benefits, and capabilities of network theory in early-stage vehicle design are presented in this paper, along with the aspects to consider and methods for developing network models. The applicability of network theory metrics and algorithms is demonstrated using a railway traction system example. Results indicate that the proposed representations can capture complex system knock-on effects across disciplines and subsystems.

Place, publisher, year, edition, pages
2024.
Keywords [en]
knock-on effects, early-stage design, rail vehicle design, network theory, subsystem interactions, traction system
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-346603OAI: oai:DiVA.org:kth-346603DiVA, id: diva2:1858909
Conference
The Sixth International Conference on Railway Technology: Research, Development and Maintenance, 1-5 September 2024 Prague, Czech Republic
Note

QC 20240529

Available from: 2024-05-20 Created: 2024-05-20 Last updated: 2024-05-29Bibliographically approved

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Abburu, Sai KausikCasanueva, CarlosO'Reilly, Ciarán J.

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Vehicle engineering and technical acousticsVinnExcellence Center for ECO2 Vehicle designEngineering Mechanics
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CiteExportLink to record
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Citation style
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