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A Tool for Automated Design and Evaluation of Habitat Interior Layouts

机译:一种自动化设计和评估栖息地室内布局的工具

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The objective of space habitat design is to minimize mass and system size while providing adequate space for all necessary equipment and a functional layout that supports crew health and productivity. Unfortunately, development and evaluation of interior layouts is often ignored during conceptual design because of the subjectivity and long times required using current evaluation methods (e.g., human-in-the-loop mockup tests and in-depth CAD evaluations). Early, more objective assessment could prevent expensive design changes that may increase vehicle mass and compromise functionality. This paper describes a new interior design evaluation method to enable early, structured consideration of habitat interior layouts. This interior layout evaluation method features a comprehensive list of quantifiable habitat layout evaluation criteria, automatic methods to measure these criteria from a geometry model, and application of systems engineering tools and numerical methods to construct a multi-objective value function measuring the overall habitat layout performance. In addition to a detailed description of this method, a C++/OpenGL software tool which has been developed to implement this method is also discussed. This tool leverages geometry modeling coupled with collision detection techniques to identify favorable layouts subject to multiple constraints and objectives (e.g., minimize mass, maximize contiguous habitable volume, maximize task performance, and minimize crew safety risks). Finally, a few habitat layout evaluation examples are described to demonstrate the effectiveness of this method and tool to influence habitat design.
机译:太空栖息地设计的目的是最大限度地减少质量和系统尺寸,同时为所有必要的设备和支持机组人员健康和生产力的功能布局提供足够的空间。遗憾的是,由于使用当前评估方法所需的主观性和长时间,在概念设计期间,通常忽略内部布局的开发和评估,这是使用当前评估方法的主观性(例如,环路样机测试和深入CAD评估)。早期,更多客观的评估可以防止昂贵的设计变化可能会增加车辆质量和妥协功能。本文介绍了一种新的室内设计评估方法,以实现早期,结构化的栖息地内部布局。这种内部布局评估方法具有可量化的栖息地布局评估标准的综合列表,可以从几何模型测量这些标准的自动方法,以及系统工程工具和数值方法的应用,以构建多目标值函数测量整体栖息地布局性能。除了对该方法的详细描述之外,还讨论了已经开发用于实现该方法的C ++ / OpenGL软件工具。该工具利用几何建模,与碰撞检测技术相结合,以识别经过多种约束和目标的良好布局(例如,最小化质量,最大化连续的可居民体积,最大限度地提高任务性能,并最大限度地减少船员安全风险。最后,描述了一些栖息地布局评估例子来证明这种方法和工具影响栖息地设计的有效性。

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