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首页> 外文会议>Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments >BIM for Design Generation, Analysis, Optimization, and Construction Simulation of a Martian Habitat
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BIM for Design Generation, Analysis, Optimization, and Construction Simulation of a Martian Habitat

机译：用于火星栖息地设计生成、分析、优化和施工模拟的BIM

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Autonomous construction, assembly, and 3D printing of concrete are promising technologies for building structures in the near-term on Earth and longer-term in extra-terrestrial environments like Mars. However, such technologies require design professionals to optimize the building design for constructability constraints imposed by the 3D printing system and material characteristics, in addition to traditional design criteria. Recent advances in multiobjective optimization showcase the potential to leverage building information modeling (BIM) for optimizing building design to meet multiple objectives. The Pennsylvania State University participated in NASA's 3D-Printed Habitat Challenge, which had a virtual construction level focused on leveraging BIM for the design of a Martian habitat, and an actual construction level focused on the autonomous construction of a subscale version of the design. This work demonstrates the underlying BIM-based framework that our team developed to identify the optimal design and perform 4D simulation of the robotic construction process.
机译：混凝土的自动建造、组装和3D打印是在地球上建造结构的近期和火星等地外环境中建造结构的长期有希望的技术。然而，除了传统的设计标准外，此类技术还要求设计专业人员针对3D打印系统和材料特性施加的可施工性约束优化建筑设计。多目标优化的最新进展展示了利用建筑信息建模（BIM）优化建筑设计以满足多个目标的潜力。宾夕法尼亚州立大学参加了美国宇航局的3D打印栖息地挑战赛，该挑战赛有一个虚拟施工级别，重点是利用BIM进行火星栖息地的设计，而实际施工级别则侧重于设计的小规模版本的自主施工。这项工作展示了我们团队开发的基于BIM的底层框架，以确定最佳设计并对机器人施工过程进行4D模拟。

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