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A network science-based assessment methodology for robust modular system architectures during early conceptual design
Journal of Engineering Design ( IF 2.7 ) Pub Date : 2019-11-12 , DOI: 10.1080/09544828.2019.1686469
Giota Paparistodimou 1 , Alex Duffy 1 , Robert Ian Whitfield 1 , Philip Knight 2 , Malcolm Robb 3
Affiliation  

ABSTRACT 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.

中文翻译:

早期概念设计期间稳健模块化系统架构的基于网络科学的评估方法

摘要 本文描述了一种在早期概念设计阶段评估工程系统架构的稳健性和模块化的方法,该方法将网络科学的概念与工程系统相结合。该应用程序特别关注海军舰艇的动力、推进和冷却系统的架构。该方法结合了二进制设计结构矩阵,作为评估冗余和模块化对稳健性影响的基础,以响应架构中模块的中断。稳健性用于驱动模块选择,它支持根据系统架构中的冗余级别制定稳健的模块配置。案例研究结果表明,冗余促进了架构的健壮性并实现了模块化;然而,与中等冗余相比,高冗余并没有显着提高鲁棒性。本文的新贡献涉及在集体方法中对冗余、模块化和稳健性的组合定量评估。这种方法支持概念设计决策,允许早期预测要求的合规性,从而实现成本、开发时间和生存能力目标。
更新日期:2019-11-12
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