Skip to main navigation Skip to search Skip to main content

An adaptive surrogate model applied to the design optimizations of waverider-based hypersonic vehicle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The primary objective of this work is to optimize the lift-to-drag ratio of a waverider-based configuration by a new global optimization method - the adaptive surrogate model (ASM), which is based on latin hypercube computer experiment and kriging surrogate model. Additional design points will be added in experiment set of points during iterative process. Design spaces of each variable are reduced by an adaptive reduction radius, which is improved gradually by the adaptive inconsistency of optimum solutions during the optimization process. Also the search efficiency and the accuracy of the optimization are compared with another global optimization scheme. At last, this paper gives maximum L/D optimization with restrictions of actual volumetric efficiency and the total mass, which shows that the adaptive surrogate model is quite suitable for the design optimization of waveriders.

Original languageEnglish
Title of host publicationMechanical and Aerospace Engineering
Pages5118-5122
Number of pages5
DOIs
StatePublished - 2012
Event2nd International Conference on Mechanical and Aerospace Engineering, ICMAE 2011 - Bangkok, Thailand
Duration: 29 Jul 201131 Jul 2011

Publication series

NameApplied Mechanics and Materials
Volume110-116
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Mechanical and Aerospace Engineering, ICMAE 2011
Country/TerritoryThailand
CityBangkok
Period29/07/1131/07/11

Keywords

  • Global optimization
  • Hypersonic
  • Kriging surrogate model
  • Latin hypercube sampling
  • Waverider

Fingerprint

Dive into the research topics of 'An adaptive surrogate model applied to the design optimizations of waverider-based hypersonic vehicle'. Together they form a unique fingerprint.

Cite this