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When designing combat vessels, the traditional approach has been to configure weapons and other operational systems around the hull. Such thinking may have been rooted in the idea that hull design is the highest priority, since it can translate into a speedier and more seaworthy vessel, thereby allowing the vessel to reach its destination and complete its mission on a timelier basis. The traditional approach, however, has its shortcomings; once the ship is built, modifications to meet changing operational requirements can be costly and difficult to implement. Ship designers have long sought a methodology to identify such shortcomings by linking mission requirements with naval requirements in the early stages of ship design. The ongoing challenge has been to devise a synthesizing and modeling tool that enables designers to assess the trade-offs that may occur as design modifications are proposed. The Naval Postgraduate School has taken on this challenge through its design concept using Model-Based Systems Engineering (MBSE). This thesis considers how MBSE might extend its use of simulation and modeling to better link architectural ship designs to combat system requirements. This thesis considers such linking and identifies a synthesizing tool that may facilitate the synthesizing and modeling process.

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The Atmosphere Revitalization Recovery and Environmental Monitoring (ARREM) project was initiated in September of 2011 as part of the Advanced Exploration Systems (AES) program. Under the ARREM project and the follow-on Life Support Systems (LSS) project, testing of sub-scale and full-scale systems has been combined with multiphysics computer simulations for evaluation and optimization of subsystem approaches. In particular, this paper will describes the testing and 1-D modeling of the combined water desiccant and carbon dioxide sorbent subsystems of the carbon dioxide removal assembly (CDRA). The goal is a full system predictive model of CDRA to guide system optimization and development.

A course in modeling and computer simulation of dynamic systems uses three methods to introduce students to these topics. Core studies, the consideration of the theoretical fundamentals of modeling and simulation, and the execution by students of a project are employed. Taught in the Electrical Engineering Department at Michigan Technological University, the course is broadly based with regard to both subject matter and simulation methods, and students are free to select a project in any area and to use the computer and language of their choice. Societal, scientific, and engineering models are studied, and digital, analog, and hybrid computer simulations are considered. The course is intended to increase the students' awareness of the possibilities of quantizing problems associated with dynamic systems and to inform them of the potentials of computer simulation. Design, rather than analysis, is emphasized and student projects aim at utilizing computer simulations to determine control strategies. Evaluation to date indicates that the course is both successful and popular, but also that students require additional training in generating project problems and in writing technical proposals. (Author/LB)

A course in modeling and computer simulation of dynamic systems uses three methods to introduce students to these topics. Core studies, the consideration of the theoretical fundamentals of modeling and simulation, and the execution by students of a project are employed. Taught in the Electrical Engineering Department at Michigan Technological University, the course is broadly based with regard to both subject matter and simulation methods, and students are free to select a project in any area and to use the computer and language of their choice. Societal, scientific, and engineering models are studied, and digital, analog, and hybrid computer simulations are considered. The course is intended to increase the students' awareness of the possibilities of quantizing problems associated with dynamic systems and to inform them of the potentials of computer simulation. Design, rather than analysis, is emphasized and student projects aim at utilizing computer simulations to determine control strategies. Evaluation to date indicates that the course is both successful and popular, but also that students require additional training in generating project problems and in writing technical proposals. (Author/LB)

Over the years, computer modeling has been used extensively in many disciplines to solve engineering problems. A set of computer program tools is proposed to assist the engineer in the various phases of the Space Station program from technology selection through flight operations. The development and application of emulation and simulation transient performance modeling tools for life support systems are examined. The results of the development and the demonstration of the utility of three computer models are presented. The first model is a detailed computer model (emulation) of a solid amine water desorbed (SAWD) CO2 removal subsystem combined with much less detailed models (simulations) of a cabin, crew, and heat exchangers. This model was used in parallel with the hardware design and test of this CO2 removal subsystem. The second model is a simulation of an air revitalization system combined with a wastewater processing system to demonstrate the capabilities to study subsystem integration. The third model is that of a Space Station total air revitalization system. The station configuration consists of a habitat module, a lab module, two crews, and four connecting nodes.

When designing combat vessels, the traditional approach has been to configure weapons and other operational systems around the hull. Such thinking may have been rooted in the idea that hull design is the highest priority, since it can translate into a speedier and more seaworthy vessel, thereby allowing the vessel to reach its destination and complete its mission on a timelier basis. The traditional approach, however, has its shortcomings; once the ship is built, modifications to meet changing operational requirements can be costly and difficult to implement. Ship designers have long sought a methodology to identify such shortcomings by linking mission requirements with naval requirements in the early stages of ship design. The ongoing challenge has been to devise a synthesizing and modeling tool that enables designers to assess the trade-offs that may occur as design modifications are proposed. The Naval Postgraduate School has taken on this challenge through its design concept using Model-Based Systems Engineering (MBSE). This thesis considers how MBSE might extend its use of simulation and modeling to better link architectural ship designs to combat system requirements. This thesis considers such linking and identifies a synthesizing tool that may facilitate the synthesizing and modeling process.

When designing combat vessels, the traditional approach has been to configure weapons and other operational systems around the hull. Such thinking may have been rooted in the idea that hull design is the highest priority, since it can translate into a speedier and more seaworthy vessel, thereby allowing the vessel to reach its destination and complete its mission on a timelier basis. The traditional approach, however, has its shortcomings; once the ship is built, modifications to meet changing operational requirements can be costly and difficult to implement. Ship designers have long sought a methodology to identify such shortcomings by linking mission requirements with naval requirements in the early stages of ship design. The ongoing challenge has been to devise a synthesizing and modeling tool that enables designers to assess the trade-offs that may occur as design modifications are proposed. The Naval Postgraduate School has taken on this challenge through its design concept using Model-Based Systems Engineering (MBSE). This thesis considers how MBSE might extend its use of simulation and modeling to better link architectural ship designs to combat system requirements. This thesis considers such linking and identifies a synthesizing tool that may facilitate the synthesizing and modeling process.