MS62 Reliability: From Design to Manufacturing

Prof. Shunpeng Zhu: zspeng2007@uestc.edu.cn

Session Chairs:
Shunpeng Zhu , Professor,Center for System Reliability and Safety, University of Electronic Science and Technology of China, zspeng2007@uestc.edu.cn
Xiancheng Zhang, Professor, Key Laboratory of Pressure Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China, xczhang@ecust.edu.cn
Dianyin Hu, Professor, School of Energy and Power Engineering, Beihang University, Beijing 100083, China, hdy@buaa.edu.cn
José A.F.O. Correia, Professor, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal, jacorreia@fe.up.pt
Chengwei Fei, Professor, Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China, cwfei@fudan.edu.cn
Behrooz Keshtegar, Associate Professor, Department of Civil Engineering, University of Zabol, Iran, bkeshtegar@uoz.ac.ir

Abstract of the special session:
In order to ensure the safety and reliability of power & energy systems, including wind turbines, gas/steam turbines, power plants, etc., computer-aided structural integrity and reliability assessment of engineering structures and systems have becoming a recent development for these systems. For many countries, such as the UK and USA, currently facing a potential future mismatch from energy production and transformation, currently increasing interests are being paid on new techniques to discover and understand the integrity and reliability of engineering structures and systems, from design to manufacturing aspects. Due to unexpected ageing related degradations/damaging, mechanical properties, microstructures and structural resistance of systems often require stochastic considerations related to failure modeling and analysis, as well as defects raised from manufacturing. In addition, various sources of uncertainty/variability arising from a simplified representation of the actual physical process (often through semi-empirical or empirical models) and/or sparse information on manufacturing, material properties, and loading profiles contribute to stochastic behavior under operations.
As the development of next-generation of power & energy systems, continued improvements in structural integrity and reliability of these systems have been possible through the accurate modeling of multi-physics failures and the introduction of advanced processing approaches based on either deterministic or probabilistic analyses by using computer methods. Thus, advanced methods for theoretical and numerical contributions that address these issues on reliability of power & energy systems are desired and expected from design to manufacturing.
The aim of this Mini-symposium is to establish a common understanding about the state of the field and draw a road map on where the research is heading, highlight the issues and discuss the possible solutions, and provide the data, models and tools necessary to performing statistically reliability design and analysis of engineering structures and systems.
Selected papers of this Mini-symposium will be encouraged to be submitted to special issues associated with Computers & Structures Journal.