How to execute robust design optimization
Igor N. Egorov,Gennadiy V. Kretinin,I. A. Leshchenko +2 more
- 04 Sep 2002
TL;DR: In this article, the authors present essential stages of robust design optimization solution: identifying uncertainties and choosing mathematical model; forming of probabilistic criteria; optimization problem statement; choosing the procedure for calculation of probablistic criteria and choosing the optimization technique.
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Abstract: The problem of robust design optimization consists in the search for technical solutions that can be implemented in practice with high probability. From mathematical point of view the problem comes to optimization of design parameters of the system under investigation according to probabilistic criteria. This paper presents essential stages of robust design optimization solution: identifying uncertainties and choosing mathematical model; forming of probabilistic criteria; optimization problem statement; choosing the procedure for calculation of probabilistic criteria and choosing the optimization technique. Options for robust design optimization solution are considered with the use of multiobjective optimization techniques as well as with procedures of multilevel optimizations. Examples of real-life problems solution are also given.
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Citations
Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles
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Robust design optimization method for centrifugal impellers under surface roughness uncertainties due to blade fouling
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Search for compromise solution of the multistage axial compressor's stochastic optimization problem
I. N. Egorov,G. V. Kretinin +1 more
TL;DR: A method of the compromise region determination for the multistage axial flow compressor stochastic optimization problems is discussed, based on the 2-D axisymmetrical mathematical model of the compressor and on the new multicriteria optimization procedure.
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Robust Optimal Design of a Gas Turbine Cogeneration Plant Based on Minimax Regret Criterion
Ryohei Yokoyama,Koichi Ito +1 more
- 07 Jun 1999
TL;DR: In this article, a robust optimal design method based on the minimax regret criterion is proposed for unit sizing of energy supply plants so that they are robust economically against the uncertainty in energy demands.
14
A Probabilistic Approach to Aeropropulsion System Assessment
Michael T. Tong
- 08 May 2000
TL;DR: In this paper, a probabilistic approach is described for aeropropulsion system assessment, and the technical performance of a wave rotor-enhanced gas turbine engine (i.e., engine net thrust, specific fuel consumption, and engine weight) is assessed.