Error and variability characterization in structural dynamics modeling

✍ Scribed by John McFarland; Sankaran Mahadevan

• Publisher: Elsevier Science
• Year: 2008
• Tongue: English
• Weight: 291 KB
• Volume: 197
• Category: Article
• ISSN: 0045-7825
• DOI: 10.1016/j.cma.2007.07.029

✦ Synopsis

The characterization of both modeling error and random variability has been the subject of recent interest within the modeling and simulation community. This paper addresses both of these topics, using as a testbed the structural dynamics validation challenge problem developed by Sandia National Laboratories. With a focus on the model's intended use, two cases of model assessment are considered, illustrating what types of conclusions are appropriate when comparing model predictions and experimental observations. In addition, the random variability associated with the modal properties of a three degree-of-freedom subsystem is characterized using a non-parametric approach which incorporates kernel density estimation, principal component analysis, and Markov Chain Monte Carlo simulation.