Human outpost creation using multiple data sets and computational design



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51st International Conference on Environmental Systems


Designing human outposts in extreme environments is a particularly challenging process due to the multiplicity of factors involved. Resources utilization, protection from radiations, micrometeoroids impacts, atmosphere containment are just some of the co-dependencies that Space architects and mission designers have to consider in the preliminary design phase. To facilitate the process, we considered a new design path that has found application in both engineering and architectural design tools: the computational design approach. Thinking at the different factors and constraints as project parameters, we are designing a software tool based on co-dependent variables to enable scalability while significantly decreasing the process complexity. The parametric software tool or PST considers a large range of factors (weather, terrain conformation, in situ resources accessibility) and constraints (survivability requirements, safety requirements, and infrastructural requirements) to allow a data-based design process, reducing the chance for human errors and inconsistent design assumptions. This paper describes the tool functionalities and the rationale behind the constraint and factor definition. While the tool is still considered in an early-development stage now in which this research is presented, the paper outlines guidelines for future developments and plans for future work on the code. At the same time, new data sets about extreme environments coming from current and future missions are considered of primary importance for the development of reliable data models about the environmental constraint used by the tool.


Thomas Lagarde, Space Architecture Technical Committee, FR
Matko Brandic Lipinski, University of Zagreb/Sveuciliste u Zagrebu, GB
ICES502: Space Architecture
The 51st International Conference on Environmental Systems was held in Saint Paul, Minnesota, US, on 10 July 2022 through 14 July 2022.


Computational design, Space architecture, data set, design help, parameter setting, designing with data, processing power, generative design, 3d modelling, visualization tools, Computer aided design