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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Architecture Flow Optimization - Refinement and Application for Naval Ship Concept Design

Bonsall, Jaxson Todd 31 May 2024 (has links)
This thesis describes the refinement of an Architecture Flow Optimization (AFO) tool for naval surface ship design, specifically focusing on the development of new network and matrix-based methods for AFO formulation and their application in Concept Development. The AFO tool analyzes and optimizes the flow of energy through the ship's Vital Components (VCs) interfacing with a Ship Synthesis and Product Model (SSM), ensuring that all physical and operational constraints are satisfied while minimizing system cost across multiple intact and damaged operational scenarios. The total ship system is described by physical and logical architectures in a network structure comprised of vital component nodes and arcs. These elements form the basis of a linear system of equations in matrix form, the manipulation of which relies heavily on linear algebra and matrix operations. The matrix system of equations is solved using linear programming with a significant improvement in computational efficiency. The solution supports the sizing of individual vital components and the refinement of system logical architecture. It also provides the basic AFO engine necessary to support future refinement of a dynamic architecture flow optimization (DAFO) with the computational speed necessary for rapid solution of dynamic mission scenarios insuring optimized and feasible warfighting reconfiguration, with and without damage. / Master of Science / This thesis describes the refinement of an Architecture Flow Optimization (AFO) tool for naval surface ship design, specifically focusing on the development of new network and matrix-based methods for AFO formulation and their application in naval ship Concept Development processes. The Architecture Flow Optimization tool analyzes and optimizes the flow of energy through the ship's Vital Components (VCs). The AFO tool completes this task by interfacing with a Ship Synthesis and Product Model (SSM), ensuring that all of the ship's physical and operational constraints are satisfied. This is done while minimizing the ship system cost across multiple intact and damaged operational scenarios. The total ship system is described by physical and logical architectures in a network structure comprised of vital components (nodes) and their connections (arcs). These elements form the basis of a linear system of equations in matrix form, the manipulation of which relies heavily on linear algebra and matrix operations. The matrix system of equations is solved using a linear programming algorithm with a significant improvement in computational speed. The solution provided from the optimization supports the sizing of individual vital components and the refinement of the ship system logical architecture. It also provides the basic AFO engine necessary to support future refinement of a dynamic architecture flow optimization (DAFO) with the computational speed necessary for rapid solution of dynamic mission scenarios insuring optimized and feasible warfighting reconfiguration, with and without damage.
2

Naval Ship Distributed System Design, Capability Modelling and Mission Effectiveness using a Dynamic Architecture Flow Optimization

Berrow, David James 19 January 2022 (has links)
This thesis discusses the development of a naval ship distributed system architectural framework and related design tools that can be used during ship Concept and Requirements Exploration (CandRE). This architectural framework includes architectures for ship operations, the physical arrangement of Mission Power and Energy Systems (MPES) vital components within the ship, the logical relationship between MPES vital components, and simple energy and data models of MPES functions. This architectural framework is implemented through integrated Ship Behavior Interaction Models (SBIMs) that include the following: Warfighting Model (WM), Ship Operational Model (OM), Capability Model (CM), and Dynamic Architecture Flow Optimization (DAFO). These models provide a critical interface between logical and operational architectures, quantifying warfighting capabilities through system measures of performance at specific capability nodes. These models' interface with each other in the warfighting environment to guide the alignment of MPES vital systems using a DAFO. The integrated models quantify the performance of tasks enabled by capabilities through system measures of performance at specific capability nodes, enabling the simulation of the MPES configuration in operational situations. / Master of Science / This thesis discusses the development of a naval ship distributed system architectural framework and related design tools that can be used during ship Concept and Requirements Exploration (CandRE). This architectural framework includes architectures for ship operations, the physical arrangement of Mission Power and Energy Systems (MPES) within the ship, the logical relationship between MPES, and simple energy and data models of MPES. This architectural framework is implemented through integrated Ship Behavior Interaction Models (SBIMs) that include the following: Warfighting Model (WM), Ship Operational Model (OM), Capability Model (CM), and Dynamic Architecture Flow Optimization (DAFO). These models provide a critical interface between logical and operational architectures, quantifying warfighting capabilities through system measures of performance. These models' interface with each other in the warfighting environment to guide the alignment of MPES during operations. The integrated models quantify the performance of tasks enabled by capabilities through system measures of performance at specific capability nodes, enabling the simulation of the MPES configuration in operational situations.

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