Prof. Dr. Pengfei Wei
Alexander von Humboldt Research Fellow
Institute for Risk and Reliability
Leibniz Universität Hannover Associate Professor
Institute for Aircraft Reliability Engineering
School of Mechanics, Civil Engineering and Architecture
Northwestern Polytechnical University, China
Monday, December 17, 2018, 14:00 - 14:45
Building 3408 (Appelstraße 9a), Room 010 (MZ2)
Uncertainty propagation of imprecise probability models
Abstract
Uncertainty propagation through the simulation models is demanding for computational mechanics engineering to provide robust and reliable design in the presence of hybrid uncertainties. Among all the uncertainty characterization models, the imprecise probability models such as probability-box have been the most competitive models since they can distinguish between the aleatory and epistemic uncertainties. In this presentation, we propose a general non-intrusive framework for efficiently propagating the imprecise probability models through any black computational models. The framework consists of a set of advanced sampling techniques, and some of them are shown to have good local performance, while others are shown to have desirable global performance. Two kinds of errors exist in the developed methods, both of which are analyzed without extra computational costs. The main advantages of the proposed framework are that only one set of model runs are required, and the optimization procedure performed on the model response functions is avoided.
Biography
Dr. Pengfei Wei is currently an Alexander von Humboldt research fellow in the Institute for Risk and Reliability, Leibniz Universität Hannover, Germany. He is also an associate professor in the Institute for Aircraft Reliability Engineering, School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University (NWPU), China. He got his doctoral degree on aircraft design from the School of Aeronautics of NWPU, in 2015, and then joined the Institute for Aircraft Reliability Engineering in the same year. In March of 2018, he received the Humboldt Research Fellowship for Postdoctoral Researchers, and joined the Institute for Risk and Reliability in September. His research area is uncertainty theory and its applications, and especially, he focuses on uncertainty characterization, uncertainty propagation, sensitivity analysis, structural reliability analysis, model verification and validation, uncertainty-based design optimization, etc., in the application of civil engineering and aircraft engineering.
