The Transactions of the Korean Institute of Electrical Engineers B (대한전기학회논문지:전기기기및에너지변환시스템부문B)

The Korean Institute of Electrical Engineers (대한전기학회)
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Shape Optimization of Electric Machine Considering Uncertainty of Design Variable by Stochastic Finite Element Method

확률유한요소법을 이용한 설계변수의 불확실성을 고려한 전기기기의 형상최적설계

  • Published : 2000.04.01
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Abstract

This paper presents the shape optimization considering the uncertainty of design variable to find robust optimal solution that has insensitive performance to its change of design variable. Stochastic finite element method (SFEM) is used to treat input data as stochastic variables. It is method that the potential values are series form for the expectation and small variation. Using correlation function of their variables, the statistics of output obtained form the input data distributed. From this, design considering uncertainty of design variables.

Keywords

References

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