A Dynamic Optimization Design Method for the Turbine Engine Frame Foundation

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An effective optimization method using Kriging model and parametric sampling evaluation strategy is proposed to solve dynamic optimization design. The optimization problem is to find the design variables such that the structural weight is minimum and dynamic displacement of the points concerned plus certain side constraints are satisfied. The types of design variables are considered as the sizing variables of the beams and columns. Kriging model is used to build the approximate mapping relationship between the forced vibration amplitude and design variables, reducing expensive dynamic reanalysis. A dynamic analysis program is used as black-box to obtain dynamic response. Numerical examples show that the method has good accuracy and efficiency. Versatility of this method can be expected to play an important role in future engineering optimization problems.

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Periodical:

Edited by:

Chunliang Zhang and Paul P. Lin

Pages:

784-787

Citation:

Z. J. Li and X. C. Wang, "A Dynamic Optimization Design Method for the Turbine Engine Frame Foundation", Applied Mechanics and Materials, Vols. 226-228, pp. 784-787, 2012

Online since:

November 2012

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$38.00

[1] P. Krejcir: Applications of Mathematics, Vol. 47 (2002) No. 3, p.217.

[2] T.W. Simpson, T.M. Mauery, J.J. Korte and F. Mistree: Aiaa Journal, Vol. 39 (2001) No. 12, p.2233.

[3] D.R. Jones, M. Schonlau, W.J. Welch: Journal of Global Optimization, Vol. 13 (1998) No. 4, p.455.

[4] E. Vazquez and J. Bect: Journal of Statistical Planning and Inference, Vol. 140 (2010) No. 11, p.3088.