Experimental Data for Uncertainty Quantification

Friswell, M.I., Coote, J.E., Terrell, M.J., Adhikari, S. , Fonseca, J.R. and Lieven, N.A.J. (2005) Experimental Data for Uncertainty Quantification. In: 23rd Conference and Exposition on Structural Dynamics 2005, IMAC-XXIII, Orlando, FL, USA, 31 Jan-3 Feb 2005,

Abstract

The propagation of parameter uncertainty through a model to obtain the uncertain vibration response is becoming more practical for industrial scale finite element models due to the increase in computing power available. In some cases the parametric uncertainty may be measured directly, for example the thickness of a panel. However the parameters for joint models (for example) must be estimated from measurements using the techniques of finite element model updating. In these cases the techniques of model updating must be extended to allow for uncertainty quantification from a series of measurements on nominally identically structures. The validation of these methods requires laboratory experiments where the uncertain parameter is measured directly and also estimated by updating. This paper outlines the results of experiments that may be used for this purpose, namely a moving mass on a free-free beam and a copper pipe with uncertain internal pressure. The data from these experiments will be freely available on the associated website at Bristol.

• Item Type: Conference Proceedings
• Additional Information: The authors acknowledge the support of the Engineering and Physical Sciences Research Council (United Kingdom) through grant GR/R34936. Friswell acknowledges the support of a Royal Society-Wolfson Research Merit Award. Foncesa acknowledges the support of the Portuguese Foundation for Science and Technology through the scholarship SFRH/BD/7065/2001.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Adhikari, Professor Sondipon
• Authors: Friswell, M.I., Coote, J.E., Terrell, M.J., Adhikari, S., Fonseca, J.R., and Lieven, N.A.J.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment