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Application of Response Surface Methodology during Conceptual Design for Mission Analysis

Received: 13 June 2014     Accepted: 8 July 2014     Published: 20 July 2014
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Abstract

The design of complex engineering problems requires computation of several optimal parameters that is generally very time consuming and computationally expensive process. When using computationally expensive simulation programs/algorithms in engineering design for optimization, sometimes it becomes impractical to rely exclusively on simulation codes only. This study involved the designing of a suitable metamodel by using Kriging response surfaces which will be used for global optimization purposes. The study also covers the implementation of Kriging mathematical model in the form of a computer algorithm which is written in MATLAB.

Published in American Journal of Aerospace Engineering (Volume 1, Issue 2)
DOI 10.11648/j.ajae.20140102.11
Page(s) 8-15
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Surrogate/Meta Model, System Function, Design of Experiments

References
[1] A Taxonomy of Global Optimization Methods Based on Response, DONALD R. JONES, General Motors Corporation, Journal of Global Optimization 21: 345–383, 2001, Kluwer Academic Publishers.
[2] http://www.hesc.it/tnt/tutorial/surfmodl-ENG.pdf
[3] http://lazarus.elte.hu/hun/digkonyv/havas/mellekl/vm25/vma07.pdf
[4] DACE, A MATLAB Kriging Toolbox Version 2.0, August 1, 2002, Søren N. Lop-Haven, Hans Bruun Nielsen, Jacob Søndergaard
Cite This Article
  • APA Style

    Johar Daudi. (2014). Application of Response Surface Methodology during Conceptual Design for Mission Analysis. American Journal of Aerospace Engineering, 1(2), 8-15. https://doi.org/10.11648/j.ajae.20140102.11

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    ACS Style

    Johar Daudi. Application of Response Surface Methodology during Conceptual Design for Mission Analysis. Am. J. Aerosp. Eng. 2014, 1(2), 8-15. doi: 10.11648/j.ajae.20140102.11

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    AMA Style

    Johar Daudi. Application of Response Surface Methodology during Conceptual Design for Mission Analysis. Am J Aerosp Eng. 2014;1(2):8-15. doi: 10.11648/j.ajae.20140102.11

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  • @article{10.11648/j.ajae.20140102.11,
      author = {Johar Daudi},
      title = {Application of Response Surface Methodology during Conceptual Design for Mission Analysis},
      journal = {American Journal of Aerospace Engineering},
      volume = {1},
      number = {2},
      pages = {8-15},
      doi = {10.11648/j.ajae.20140102.11},
      url = {https://doi.org/10.11648/j.ajae.20140102.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajae.20140102.11},
      abstract = {The design of complex engineering problems requires computation of several optimal parameters that is generally very time consuming and computationally expensive process. When using computationally expensive simulation programs/algorithms in engineering design for optimization, sometimes it becomes impractical to rely exclusively on simulation codes only. This study involved the designing of a suitable metamodel by using Kriging response surfaces which will be used for global optimization purposes. The study also covers the implementation of Kriging mathematical model in the form of a computer algorithm which is written in MATLAB.},
     year = {2014}
    }
    

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    T1  - Application of Response Surface Methodology during Conceptual Design for Mission Analysis
    AU  - Johar Daudi
    Y1  - 2014/07/20
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    N1  - https://doi.org/10.11648/j.ajae.20140102.11
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    T2  - American Journal of Aerospace Engineering
    JF  - American Journal of Aerospace Engineering
    JO  - American Journal of Aerospace Engineering
    SP  - 8
    EP  - 15
    PB  - Science Publishing Group
    SN  - 2376-4821
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    AB  - The design of complex engineering problems requires computation of several optimal parameters that is generally very time consuming and computationally expensive process. When using computationally expensive simulation programs/algorithms in engineering design for optimization, sometimes it becomes impractical to rely exclusively on simulation codes only. This study involved the designing of a suitable metamodel by using Kriging response surfaces which will be used for global optimization purposes. The study also covers the implementation of Kriging mathematical model in the form of a computer algorithm which is written in MATLAB.
    VL  - 1
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Author Information
  • Department of Aerospace Engineering, School of Engineering, University of Glasgow, UK

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