... problem and an actively controlled structure problem. 14 01 2011 26 09 2011 09 12 2011 09 12 2011 design engineering least squares approximations polynomials reliability response surface methodology The detailed procedure for CF-MLSM based RBDO is depicted in Fig. 2...

... 2011 design engineering radial basis function networks response surface methodology solid modelling approximation regression interpolation metamodel response surface prediction RBF-HDMR functional form black-box function Metamodeling techniques find a wide range of uses...

... ( 1 ), pp. 149 – 185 . Holliquist , J. , 1998 , LS-DYNA Theoretical Manual, Livermore Software Technology Corp. 10 04 2008 30 01 2009 21 05 2009 approximation theory cellular automata design engineering optimisation response surface methodology vehicle...

... space, can be performed in a comprehensive manner. 28 06 2008 02 03 2009 19 05 2009 approximation theory CAD data mining mechanical engineering computing response surface methodology self-organising feature maps Design optimization can be described as a problem...

... . This characteristic can also be observed in the example in Sec. 3D . design engineering optimisation reliability response surface methodology reliability-based design optimization response surface method prediction interval moving least squares method The existence of variances...

... traditional reliability methods. 21 08 2006 13 08 2007 19 05 2008 failure analysis least squares approximations Monte Carlo methods reliability response surface methodology sampling methods structural engineering Monte Carlo simulation indicator function response surface...

... response surface methodology road safety front side rail response surface method finite element method energy absorption lightweight design Joseph , C. , and Benedy , K. , 2000 , “ Light Metals in Automotive Applications ,” Light Met. Age 0024-3345 , 58 ( 10 ), pp. 34...

... response surface methodology stochastic processes Traditionally, structural design under uncertainty treats structural dimensions, shapes, and material properties as uncertainty parameters. These parameters are relatively well controlled, so that their variability is usually small. However...

... 2004 14 01 2005 vehicles impact (mechanical) response surface methodology regression analysis deformation finite element analysis sampling methods mean square error methods Craig , K. J. , Stander...

... surrogate for a computationally expensive computer code. Common metamodeling techniques include response surface methodology, kriging, radial basis functions, and multivariate adaptive regression splines. In this paper, we investigate support vector regression (SVR) as an alternative technique...