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크리깅 모델에 의한 철도차량 현수장치 최적설계

Optimization of a Train Suspension using Kriging Model

  • 발행 : 2003.06.01

초록

In recent engineering, the designer has become more and more dependent on the computer simulations such as FEM(Finite Element Method) and BEM(Boundary Element Method). In order to optimize such implicit models more efficiently and reliably, the meta -modeling technique has been developed for solving such a complex problems combined with the DACE(Design and Analysis of Computer Experiments). It is widely used for exploring the engineer's design space and for building approximation models in order to facilitate an effective solution of multi-objective and multi-disciplinary optimization problems. Optimization of a train suspension is performed according to the minimization of forty -six responses that represent ten ride comforts, twelve derailment quotients, twelve unloading ratios, and twelve stabilities by using the Kriging model of a train suspension. After each Kriging model is constructed, multi -objective optimal solutions are achieved by using a nonlinear programming method called SQP(Sequential Quadratic Programming).

키워드

참고문헌

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피인용 문헌

  1. Inverse parameter estimation of the Cowper-Symonds material model for electromagnetic free bulge forming vol.17, pp.11, 2016, https://doi.org/10.1007/s12541-016-0174-x
  2. Caulking and Gap Analysis for a Ball Joint vol.35, pp.9, 2011, https://doi.org/10.3795/KSME-A.2011.35.9.1077