article

A survey of multidisciplinary design optimization methods in launch vehicle design

Authors:

Mathieu Balesdent,

Nicolas Bérend,

Philippe Dépincé,

Abdelhamid ChrietteAuthors Info & Claims

Structural and Multidisciplinary Optimization, Volume 45, Issue 5

Pages 619 - 642

https://doi.org/10.1007/s00158-011-0701-4

Published: 01 May 2012 Publication History

Abstract

Optimal design of launch vehicles is a complex problem which requires the use of specific techniques called Multidisciplinary Design Optimization (MDO) methods. MDO methodologies are applied in various domains and are an interesting strategy to solve such an optimization problem. This paper surveys the different MDO methods and their applications to launch vehicle design. The paper is focused on the analysis of the launch vehicle design problem and brings out the advantages and the drawbacks of the main MDO methods in this specific problem. Some characteristics such as the robustness, the calculation costs, the flexibility, the convergence speed or the implementation difficulty are considered in order to determine the methods which are the most appropriate in the launch vehicle design framework. From this analysis, several ways of improvement of the MDO methods are proposed to take into account the specificities of the launch vehicle design problem in order to improve the efficiency of the optimization process.

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A survey of multidisciplinary design optimization methods in launch vehicle design
1. Information systems
  1. Data management systems
    1. Database administration
      1. Data dictionaries
2. Theory of computation
  1. Design and analysis of algorithms
    1. Mathematical optimization

Index terms have been assigned to the content through auto-classification.

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cover image Structural and Multidisciplinary Optimization

Structural and Multidisciplinary Optimization Volume 45, Issue 5

May 2012

149 pages

ISSN:1615-147X

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Zandavi SPourtakdoust S(2018)Multidisciplinary design of a guided flying vehicle using simplex nondominated sorting genetic algorithm IIStructural and Multidisciplinary Optimization10.1007/s00158-017-1776-357:2(705-720)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s00158-017-1776-3
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