Machine learning-aided generative design methodology for a Martian regolith habitation shell

Author:

Dede GökhanORCID

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference52 articles.

1. Geopolymers from lunar and martian soil simulants;Alexiadis;Advancesin Space Research,2017

2. Allen, C. S., Burnett, R., Charles, J., Cucinotta, F., Fullerton, R., Goodman, J. R., Griffith Sr, A. D., Kosmo, J. J., Perchonok, M., & Railsback, J. 2003. Guidelines and capabilities for designing human missions.

3. JSC Mars-1-martian regolith simulant;Allen;Conference Paper,1997

4. Andrew, A. G., Karen, F., & Johnson. (2021). NASA’s InSight Reveals the Deep Interior of Mars. NASA Jet Propulsion Laboratory. https://www.nasa.gov/feature/jpl/nasa-s-insight-reveals-the-deep-interior-of-mars.

5. Anyszka, R., Bielinski, D., Imiela, M., Szajerski, P., Pawlica, J., Walendziak, R., & Sicinski, M. 2016. Sulfur concrete – promising material for space-structures building.

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