Application of Response Surface Methodology during Conceptual Design for Mission Analysis

Johar Daudi

doi:doi:10.11648/j.ajae.20140102.11

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Application of Response Surface Methodology during Conceptual Design for Mission Analysis

Johar Daudi

Published in American Journal of Aerospace Engineering (Volume 1, Issue 2)

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), 2024. 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

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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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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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TY  - JOUR
T1  - Application of Response Surface Methodology during Conceptual Design for Mission Analysis
AU  - Johar Daudi
Y1  - 2014/07/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajae.20140102.11
DO  - 10.11648/j.ajae.20140102.11
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
UR  - https://doi.org/10.11648/j.ajae.20140102.11
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
IS  - 2
ER  -

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Author Information

Johar Daudi

Department of Aerospace Engineering, School of Engineering, University of Glasgow, UK

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Plain Text BibTeX RIS

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}
}

Copy | Download

TY  - JOUR
T1  - Application of Response Surface Methodology during Conceptual Design for Mission Analysis
AU  - Johar Daudi
Y1  - 2014/07/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajae.20140102.11
DO  - 10.11648/j.ajae.20140102.11
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
UR  - https://doi.org/10.11648/j.ajae.20140102.11
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
IS  - 2
ER  -

Copy | Download