Chapter
Apr 26, 2012
Aerospace Vehicle Conceptual Design under Uncertainty
Authors: Natasha Smith, Ph.D., and Sankaran MahadevanAuthor Affiliations
Publication: Engineering, Construction, and Operations in Challenging Environments: Earth and Space 2004
Abstract
This paper presents a probabilistic optimization methodology for aerospace vehicle design under uncertainty. The inclusion of linkages between system-level and component-level design requirements leads to multidisciplinary optimization (MDO). The proposed methodology formulates and solves a probabilistic multidisciplinary optimization problem for the coupled design of a reusable launch vehicle (RLV) geometry and its liquid hydrogen fuel tank.
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Published In
Engineering, Construction, and Operations in Challenging Environments: Earth and Space 2004
Pages: 469 - 475
Copyright
© 2004 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Authors
Affiliations
Natasha Smith, Ph.D.
Student, Civil and Environmental Engineering, Vanderbilt University
Sankaran Mahadevan
Professor, Civil and Environmental Engineering, Box 1831-B, Vanderbilt University, Nashville, TN 37235
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.