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dc.contributor.advisorJoseph Paradiso.en_US
dc.contributor.authorEkblaw, Ariel C.(Ariel Caitlyn)en_US
dc.contributor.otherProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.date.accessioned2021-01-06T20:15:35Z
dc.date.available2021-01-06T20:15:35Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129269
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 217-231).en_US
dc.description.abstractHumanity stands on the cusp of interplanetary civilization. As we prepare to venture into deep space, we face what appears to be an irreconcilable conundrum: at once a majestic domain for human exploration, while also a domain of unrelenting challenges, posing dangers that are fundamentally at odds with our evolved biology. The field of space architecture struggles with not only these environmental challenges, but also constrained physical dimensions (e.g., rocket payload fairings), risky astronaut space-walks and limited robotic mobility for assembly, and capricious budgets as political whims change. How might we incorporate the robustness principles and incremental additions of indeterminate-growth living systems into the habitats that will sustain us over time? We begin by exploring how to enable dynamic, self-assembling space structures that are informed by both inorganic and organic growth processes from complex Earth systems.en_US
dc.description.abstractHow can we design, induce, and scale self-aware self-assembly to grow space architecture, natively, in orbit? We answer this call, for space architecture that builds itself, through transformative self-aware self-assembly--adaptive, responsive "living structures" that follow principles of tessellation and self-similarity to scale elegantly from common base units to modular space stations to future mega-structures. In an orbiting context, freed from the constraints of Earth's gravity, we can redefine how space architecture is conceived, designed, assembled, and lived within.en_US
dc.description.abstractThese principles are applied across all four areas of thesis contributions: a novel design theory for space architecture realized in a portfolio of space structure concepts; systems engineering mission architecture and feasibility analyses for contextualizing proposed space structures in realistic aerospace deployments; physics simulation modeling for habitat-scale self-assembly dynamics in microgravity; and quasi-stochastic self-assembling tile hardware creation and evaluation across four space environment missions, culminating in a successful 30-day International Space Station experiment in March 2020. The thesis contributions center on the TESSERAE (Tessellated Electromagnetic Space Structures for the Exploration of Reconfigurable, Adaptive Environments) platform.en_US
dc.description.statementofresponsibilityby Ariel Ekblaw.en_US
dc.format.extent231 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectProgram in Media Arts and Sciencesen_US
dc.titleSelf-aware self-assembly for space architecture : growth paradigms for in-space manufacturingen_US
dc.title.alternativeGrowth paradigms for in-space manufacturingen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.identifier.oclc1227783345en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciencesen_US
dspace.imported2021-01-06T20:15:30Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentMediaen_US


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