Open Collections

The SL-AVV approach to system level reliability-based design optimization of large uncertain and stochastic dynamic systems

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

Recently a number of efficient reliability-based design optimization methodologies have been proposed for optimizing uncertain dynamic systems subject to stochastic excitation. While these methods are capable of handling a large number of uncertain parameters, they are generally applicable to problems characterized by small design variable vectors. This paper focuses on the development of a new reliability-based design optimization methodology for uncertain dynamic systems subject to stationary stochastic wind excitation that is capable of handling large design variable vectors, a characteristic of many practical design problems, while considering system level performance constraints.

Text

This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076161

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/