Methodik zur Validierung, Verifikation und Auswahl mathematischer Metamodelle im Rahmen der virtuellen Produktentwicklung

DFX 2015: Proceedings of the 26th Symposium Design for X, 7-8 October 2015, Herrsching, Germany

Year: 2015
Editor: Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author: Spruegel, Tobias C.; Wartzack, Sandro
Series: DfX
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
Section: Design for X
Page(s): 279-288
ISBN: 978-3-941492-93-6

Abstract

Product developers need to describe relations between input and output
parameters mathematically. This central problem varies in many ways and
starts from the description of measurement data and ends with the integration
of results from numerical simulations in downstream simulations of similar
problems. Therefor meta-models or surrogate models are used. In this
publication a methodology for validation, verification and selection of proper
meta-models within the virtual product development is presented.

Keywords: meta-model; surrogate model; goodness-of-fit parameter; plausibility-check