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Early-Stage Naval Ship Distributed System Design Using Architecture Flow Optimization

机译:早期海军船分布式系统设计使用架构流优化

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This article describes an architecture flow optimization (AFO) method for naval ship system design. AFO is a network-based method. It is used to design and analyze naval ship Mission, Power, and Energy Systems (MPES) in a naval ship Concept and Requirements Exploration (C&RE) process at a sufficient level of detail to better understand system energy flow, define MPES architecture and sizing, reduce system vulnerability, and improve system reliability. This method decomposes MPES into three architectures: logical, physical, and operational which describe the system's spatial, functional, and temporal characteristics, respectively. Using this framework, the AFO incorporates system topologies, input/output energy coefficient component models, preliminary arrangements, and (nominal and damaged) steady-state operational scenarios into a linear optimization method to minimize the energy flow cost required to satisfy all operational scenario demands and constraints. AFO results are used to inform system topology design and assess the feasibly and survivability of representative designs in the C&RE process. AFO results may also be used in physics-based vital component sizing, calculation of vulnerability/effectiveness metrics in the C&RE process, and subsequent linear optimization formulations to assess recoverability and operational effectiveness in the time domain.
机译:本文介绍了对海军船舶系统设计的架构流量优化(AFO)方法。 AFO是一种基于网络的方法。它用于在海军船舶概念和需求探索(C&RE)过程中设计和分析海军船舶使命,电力和能源系统(MPE),以获得足够的细节,以更好地了解系统能量流,定义MPES架构和尺寸,减少系统漏洞,提高系统可靠性。该方法将MPE分解为三个架构:分别描述系统的空间,功能和时间特征的逻辑,物理和操作。使用此框架,AFO将系统拓扑,输入/输出能量系数分量模型,初步布置和(标称和损坏的)稳态操作场景中的一种线性优化方法,以最小化满足所有操作场景所需的能量流量成本和约束。 AFO结果用于通知系统拓扑设计,并评估C和RE过程中代表设计的可行性和可生存性。 AFO结果也可用于基于物理学的重要组件尺寸,C和RE过程中的脆弱性/有效度量计算,以及随后的线性优化制剂,以评估时域中的可回收性和运行效率。

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