Probabilistic Sensitivity Analysis of Corrugated Skins with Random Elastic Parameters and Surface Topology

Diaz De La O, F.A., Kundu, A., Friswell, M.I. and Adhikari, S. (2014) Probabilistic Sensitivity Analysis of Corrugated Skins with Random Elastic Parameters and Surface Topology. In: 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014, Liverpool, UK, 13-16- July 2014, pp. 1584-1595. ISBN 9780784413609 (doi: 10.1061/9780784413609.159)

Abstract

The distinction between epistemic and aleatory uncertainty can sometimes be useful for practical purposes. In principle, epistemic uncertainty is reducible by obtaining more or better information. However, the boundaries between both types of uncertainties are often blurred. Fortunately, it is often the case that not all sources of uncertainty have the same impact on the predictive performance of numerical models, so that there is considerable computational benefit from investigating potential simplification in the number of parameters that should be modelled as being stochastic. In order to determine which parameters are the most important in terms of their contribution to the output's uncertainty, probabilistic sensitivity analysis can be performed. We apply this idea to a numerical model of corrugated skins. Corrugated skins are particularly suitable for morphing applications in aerospace structures, largely due to the very high compliance they offer along the corrugation direction. © 2014 American Society of Civil Engineers.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Adhikari, Professor Sondipon
• Authors: Diaz De La O, F.A., Kundu, A., Friswell, M.I., and Adhikari, S.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• Journal Name: Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling a
• ISBN: 9780784413609