Abstract
One of the important tasks in Mechanical Engineering is to increase the safety of the vehicle and decrease its production costs. This task is typically solved by means of Multiobjective Optimization, which formulates the problem as a mapping from the space of design variables to the space of target criteria and tries to find an optimal region in these multidimensional spaces. Due to high computational costs of numerical simulations, the sampling of this mapping is usually very sparse and scattered. Combining design of experiments methods, metamodeling, new interpolation schemes and innovative graphics methods, we enable the user to interact with simulation parameters, optimization criteria, and come to a new interpolated crash result within seconds. We denote this approach as Simulated Reality, a new concept for the interplay between simulation, optimization and interactive visualization. In this paper we show the application of Simulated Reality for solution of real life car design optimization problems.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Tukey, J.W.: Exploratory Data Analysis. Addison-Wesley, London (1997)
Donoho, D.L.: High-dimensional data analysis: the curses and blessings of dimensionality. Lecture on August 8, 2000, to the American Mathematical Society “Math Challenges of the 21st Century”. Available from http://www-stat.stanford.edu/~donoho/
Jones, D.R., Schonlau, M., Welch, W.J.: Efficient global optimization of expensive black-box functions. J. Glob. Optim. 13, 455–492 (1998)
Sobester, A., Leary, S.J., Keane, A.J.: On the design of optimization strategies based on global response surface approximation models. J. Glob. Optim. 33, 31–59 (2005)
Thole, C.-A., Nikitina, L., Nikitin, I., Steffes-lai, D., Kersten, R., Bruns, J.: Constrained optimization with DesParO. In: Proc. Conf. Virtual Product Development in Automotive Engineering, Prien, 21–22 March 2007
Hoppe, H.: Progressive meshes. In: Proc. SIGGRAPH ’96, pp. 99–108. ACM Press, New York (1996)
Wundrak, S., Henn, T., Stork, A.: Dynamic progressive triangle-quadrilateral meshes. In: Proc. Eurographics: WSCG 2006, pp. 61–68. University of West Bohemia, Plzen (2006)
Stork, A., Wundrak, S., Thole, C.-A., Nikitina, L.: Simulated reality in crash optimization. In: Proc. CADFEM’06, 24th CADFEM Users’ Meeting 2006, International Congress on FEM Technology with 2006 German ANSYS Conference, Stuttgart/Fellbach, October 25–27, 2006
Buhmann, M.D.: Radial Basis Functions: Theory and Implementations. Cambridge University Press, Cambridge (2003)
Autoopt: Automotive design by Simulation and Optimization. Brochure BMBF 01 IR B01, Fraunhofer Institute SCAI, Sankt Augustin, 2005. Available from http://www.auto-opt.de
Brusentsev, P., Foursa, M., Frolov, P., Klimenko, S., Matveyev, S., Nikitin, I., Nikitina, L.: Virtual environment laboratories based on personal computers: principles and applications. In: Proc. of 2nd Int. Workshop on Virtual Environment on PC Cluster, VEonPC’2002, p. 6. ICPT, Protvino (2002)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Stork, A., Thole, CA., Klimenko, S. et al. Towards interactive simulation in automotive design. TVC 24, 947–953 (2008). https://doi.org/10.1007/s00371-008-0274-4
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00371-008-0274-4