Metamodeling for High Dimensional Simulation-based Design Problems

Metamodeling for High Dimensional Simulation-based Design Problems Songqing Shan Dept. of Mech. and Manuf. Engineering University of Manitoba Winnipeg, MB, Canada R3T 5V6 [email protected] G. Gary Wang School of Engineering Science Simon Fraser University Surrey, BC, Canada V3T 0A3 [email protected] Abstract Computational tools such as finite element analysis and simulation are widely used in engineering. But they are mostly used for design analysis and validation. If these tools can be integrated for design optimization, it will undoubtedly enhance a manufacturer’s competitiveness. Such integration, however, faces three main challenges: 1) high computational expense of simulation, 2) the simulation process being a black-box function, and 3) design problems being high dimensional. In the past two decades, metamodeling has been intensively developed to deal with expensive black-box functions, and has achieved success for low dimensional design problems. But when high dimensionality is also present in design, which is often found in practice, there lacks of a practical method to deal with the so-called Highdimensional, Expensive, and Black-box (HEB) problems. This paper proposes the first metamodel of its kind to tackle the HEB problem. This work integrates Radial Basis Function (RBF) with High Dimensional Model Representation (HDMR) into a new model, RBF-HDMR. The developed RBF-HDMR model offers an explicit function expression, and can reveal the 1) contribution of each design variable, 2) inherent linearity/nonlinearity with respect to input variables, and 3) correlation relationships among input variables. An accompanying algorithm to construct the RBF-HDMR has also been developed. The model and the algorithm fundamentally