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Monte Carlo simulation with modelica

: Haase, J.; Wolf, S.; Clauß, C.

Fulltext urn:nbn:de:0011-n-703978 (98 KByte PDF)
MD5 Fingerprint: 8fd36d6b83f1ccad4bc7a51645f6ed13
Created on: 14.3.2008

Bachmann, B. ; University of Applied Sciences, Bielefeld; Modelica Association, Linköping:
Modelica 2008, 6th International Modelica Conference. Proceedings : March 3rd-4th, 2008, Bielefeld, Germany
Bielefeld: Univ. of Applied Sciences, 2008
International Modelica Conference <6, 2008, Bielefeld>
Conference Paper, Electronic Publication
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()
statistical analysis; SAE 2748; Monte-Carlo simulation

Monte Carlo simulation allows to obtain statistical information derived from estimates of the random variability of component parameters. The paper demonstrates how to describe the random characteristic of parameters in a tool-independent manner in Modelica. Using the multi-run facilities of a simulation engine statistical analysis can be carried out without any code intervention concerning the tool. The approach is based on the SAE 2748 standard. Solutions of implementation problems with respect to Modelica are discussed. This paper is based on results, which were developed in the Fraunhofer collaborative project "Computer Aided Robust Design (CAROD)".