Network-based metrics for assessment of naval distributed system architectures

Paparistodimou, Giota; Duffy, Alex H. B.; Knight, Philip A.; Whitfield, Robert Ian; Robb, Malcolm; Voong, Caroline

doi:10.24868/issn.2515-818x.2018.030

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…This robustness metric is appropriate for any network where the ability to communicate between well-separated nodes is of paramount importance. A detailed description of the robustness metric is presented in the previous works of Paparistodimou et al (2018Paparistodimou et al ( , 2020. In short, sources and sinks are identified in the DSM, and the level of connectivity between sources and sinks is measured after a disruption.…”

Section: Robustness Metric and Methodsmentioning

confidence: 99%

A network tool to analyse and improve robustness of system architectures

et al. 2020

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The architecture of a system is decided at the initial stage of the design. However, the robustness of the system is not usually assessed in detail during the initial stages, and the exploration of alternative system architectures is limited due to the influence of previous designs and opinions. This article presents a novel network generator that enables the analysis of the robustness of alternative system architectures in the initial stages of design. The generator is proposed as a network tool for system architectures dictated by their configuration of source and sink components structured in a way to deliver a particular functionality. Its parameters allow exploration with theoretical patterns to define the main structure and hub structure, vary the number, size, and connectivity of hub components, define source and sink components and directionality at the hub level and adapt a redundancy threshold criterion. The methodology in this article assesses the system architecture patterns through robustness and modularity network based metrics and methods. Two naval distributed engineering system architectures are examined as the basis of reference for the simulated networks. The generator provides the capacity to create alternative complex system architecture options with identifiable patterns and key features, aiding in a broader explorative and analytical, in-depth, time and cost-efficient initial design process.

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Section: Robustness Metric and Methodsmentioning

confidence: 99%

A network tool to analyse and improve robustness of system architectures

et al. 2020

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“…(Pouw, 2007), (van Oers, 2011), (de Vos, 2018 and (Habben Jansen et al, 2020). Related research for other applications can be found in (Paparistodimou, 2018) and (Huisman, 2015). In the work presented in this article the fundamental idea is that ship designers and marine engineers can be supported during early-stage naval ship design as well, by having a 'tool' that generates concept designs for naval power plants.…”

Section: Design Space Of Naval Power Plant Concept Exploration Toolmentioning

confidence: 99%

Effective Naval Power Plant Design Space Exploration

Vos¹,

Schueren²,

Los³

et al. 2022

Preprint

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In this paper a Concept Exploration Tool (CET) for naval ship power plants is presented. The ideas behind the CET are introduced as well as the inner workings of the tool. Objective functions for different relevant design criteria (energy efficiency, emissions, signatures, etc.) are shortly discussed, after which the results for a Frigate case study will be shown. Interesting solutions that are outside the well-known zone of conventional configurations, that may lead to new insights and innovative designs, are amongst the results of the CET; demonstrating the advantages of Design Space Exploration. The main development of this CET compared to earlier versions is however in the computational effectiveness of the tool, which is amongst others made possible by so-called Intermediate Design Algorithms (IDeAs). The major improvement in computational time provides additional room for further development of the objective functions used.

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“…The notion that a function can be satisfied if a set of source and sink components of the flow network maintain sufficient connectivity after a disruption is accepted in order to formulate the robustness evaluation indicator metric. The following paragraphs present the robustness evaluation indicator metric which is an updated version from an earlier formulation developed by Paparistodimou et al (2019).…”

Section: Robustness Evaluation For Given Redundancy Modularity and Dmentioning

confidence: 99%

A network science-based assessment methodology for robust modular system architectures during early conceptual design

Paparistodimou

Duffy

Whitfield

et al. 2019

Journal of Engineering Design

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This article describes a methodology to assess, during the early conceptual design stage, the robustness, and modularity of engineering system architectures, which integrates concepts from network science with engineering systems. The application specifically focuses on the architecture of the power, propulsion, and cooling systems of a naval ship. The methodology incorporates a binary Design Structure Matrix as the basis for an assessment of redundancy and modularity effects on robustness, in response to the disruption of modules in the architecture. Robustness is used to drive the module selection, which supports the formulation of a robust module configuration subject to the level of redundancy in the system architecture. The case study results demonstrated that redundancy promotes robustness of the architecture and enables modularity; however, high levels of redundancy in comparison to medium level redundancy does not significantly improve robustness. The novel contribution of this article relates to the combined quantitative assessment of redundancy, modularity and robustness in a collective methodology. This methodology supports conceptual design decision making, allowing early prediction of compliance of requirements that enable cost, development time and survivability targets to be achieved. ARTICLE HISTORY

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Network-based metrics for assessment of naval distributed system architectures

Cited by 3 publications

References 12 publications

A network tool to analyse and improve robustness of system architectures

A network tool to analyse and improve robustness of system architectures

Effective Naval Power Plant Design Space Exploration

A network science-based assessment methodology for robust modular system architectures during early conceptual design

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