2026-09-19T04:08:59Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/900262026-06-06T00:48:35Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Pierre Ghisbain and Jerome J. Connor.
Marzari, Quentin
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
2014-09-19T21:35:12Z
2014-09-19T21:35:12Z
2014
2014
http://hdl.handle.net/1721.1/90026
890138516
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2014.
Cataloged from PDF version of thesis. Abstract in French on page 5.
Includes bibliographical references (page 65).
This thesis presents a new approach to solve the optimization of articulated structures and especially looks into the performance of tensegrity systems compared to regular trusses. Volume is the objective to minimize and a wide range of constraints can be considered from the required mechanical constraints to more architectural ones. The resulting nonlinear non-convex mixed-integer optimization problem is approached with a twofold algorithm. A global genetic algorithm controls the connectivity and geometric variables while the cross-sectional area and prestress forces variables are dealt with an internal sequential quadratic programming algorithm. The performance of this approach is evaluated on a typical cantilever configuration.
by Quentin Marzari.
M.Eng.
74 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Civil and Environmental Engineering.
Optimization of tensegrity structures
Thesis
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