In many engineering applications, both random and interval variables may exist. The mixture of both types of variables has been dealt with in robust design for single disciplinary systems. This work focuses on robustness assessment for general multidisciplinary systems with the presence of both random and interval variables. To alleviate the intensive computational demand, we propose a semi-second-order Taylor expansion method to estimate robustness. A performance function is approximated linearly in terms of random variables, but the interaction terms between random and interval variables are kept. Robustness is measured by the standard deviation of a system performance. The maximum and minimum standard deviations over the interval variables are identified. With proposed method, the impact of both random and interval variables on the system performance can be found efficiently. Copyright © 2008 by ASME.
Available at: http://works.bepress.com/xiaoping-du/4/