Special Sessions

■ QR2MSE 2022

■ Special Sessions

Proposals of special sessions/panels are invited. The aim of a special session/panel is to bring together researchers working on a specific topic of interests.

If you are interested in organizing a special session/panel, please send your proposal to the conference secretariat at icqrms@uestc.edu.cn as early as possible. The proposal should include the session/panel title, the scope and motivation of the session/panel, and the organizers and their brief CVs.

Both full papers and extended abstracts can be submitted to the conference and the special session should include more than 5 submissions.

■ Important Dates

Proposal Due       May 30, 2022
Abstract Due         June 20, 2022
Full Paper Due      July 5, 2022

■ Submission Notices

The same submission and review process will be followed for papers submitted to these special sessions/panels. If you want your paper considered for a special session/panel, please indicate so in your abstract submission. Direct specific questions on a special session/panel to its organizers.

(1) Special Session  on “Surrogate-based methods for Uncertainty Quantification” Organized by Yi Zhang (Tsinghua University, China. Email: zhang-yi@tsinghua.edu.cn), Zeyu Wang (Tsinghua University, China). Please submit the paper directly to the organizers of the special session.

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Under construction

■ QR2MSE 2021 & ICRSE 2021

■ Special Sessions

Proposals of special sessions/panels are invited. The aim of a special session/panel is to bring together researchers working on a specific topic of interests.

If you are interested in organizing a special session/panel, please send your proposal to the conference secretariat at icqrms@uestc.edu.cn as early as possible. The proposal should include the session/panel title, the scope and motivation of the session/panel, and the organizers and their brief CVs.

Both full papers and extended abstracts can be submitted to the conference and the special session should include more than 5 submissions.

■ Important Dates

Proposal Due       August 10, 2021
Abstract Due         September 10, 2021
Full Paper Due      October 10, 2021

■ Submission Notices

The same submission and review process will be followed for papers submitted to these special sessions/panels. If you want your paper considered for a special session/panel, please indicate so in your abstract submission. Direct specific questions on a special session/panel to its organizers.

(1) Special Session  on “Maintenance and Warranty” Organized by Dae Kyung Kim (Chonbuk National University, Korea. Email: dkkim@jbnu.ac.kr). Please submit the paper directly to the organizers of the special session.

(2) Special Session on “Reliability Engineering of Aerospace Systems” Organized by Hongshuang Li (Nanjing University of Aeronautics and Astronautics, China. Email: hongshuangli@nuaa.edu.cn), Xiukai Yuan (Xiamen University, China. Email: xiukaiyuan@xmu.edu.cn), Pengfei Wei (Northwestern Polytechnical University, China. Email: pengfeiwei@nwpu.edu.cn), and Feng Zhang (Northwestern Polytechnical University, China. Email: nwpuwindy@nwpu.edu.cn). Please submit the paper directly to the organizers of the special session.

(3) Special Session on “Performance, Reliability, and Operation Maintenance for Power Electronic Devices and Equipment” Organized by Yongquan Sun (Harbin University of Science and Technology, China. Email: sunyongquan@hrbust.edu.cn). Please submit the paper directly to the organizers of the special session.

(4) Special Session on “Design and Operation of Offshore Structures” Organized by He Li (University of Lisbon, Portugal, Email: he.li@centec.tecnico.ulisboa.pt), Mohammad Yazdi (Memorial University of Newfoundland, Canada, Email: myazdi@mun.ca), Jichuan Kang (Harbin Engineering University, China, Email: kangjichuan@hrbeu.edu.cn), and Gong Xiang(Huazhong University of Science and Technology, China, Email: gongxiang@hust.edu.cn). Please submit the paper directly to the organizers of the special session.

(5) Special Session on “PoF-based and data-driven reliability assessment and RUL prediction” Organized by Wei Zhang (Beihang University, China, Email: zhangwei.dse@buaa.edu.cn), Dan Xu (Beihang University, China, Email: xudan@buaa.edu.cn), and Jie Liu (Beihang University, China, Email: liujie805@buaa.edu.cn). Please submit the paper directly to the organizers of the special session.

(6) Special Session on “Structural health monitoring and damage detection” Organized by Jingjing He (Beihang University, China, Email: hejingjing@buaa.edu.cn), Xun Wang (Beihang University, China, Email: xunwang@buaa.edu.cn), and Jiadong Hua (Beihang University, China, Email: huajiadong@buaa.edu.cn). Please submit the paper directly to the organizers of the special session.

(7) Special Session on “Degradation-based Prognosis and Predictive Maintenance” Organized by Yan-hui Lin (Beihang University, China, Email: linyanhui@buaa.edu.cn) and Li Yang (Beihang University, China, Email: yanglirass@buaa.edu.cn). Please submit the paper directly to the organizers of the special session.

(8) Special Session on “Reliability, Safty & Security of IoT” Organized by Linhan Guo (Beihang University, China, Email: linhanguo@buaa.edu.cn) and Guoqi Li (Beihang University, China, Email: gqli@buaa.edu.cn). Please submit the paper directly to the organizers of the special session.

(9) Special Session on “Risk Assessment & Predition” Organized by Prof. Xing Pan (Beihang University, China, Email: panxing@buaa.edu.cn) and Dr. Shenghan Zhou (Beihang University, China, Email: zhoush@buaa.edu.cn). Please submit papers directly to the organizers of the special session.

(10) Special Session on “Smart maintenance and logistics based on digital technology” Organized by Yi Ren (Beihang University, China, Email: renyi@buaa.edu.cn), Qiang Feng (Beihang University, China, Email: fengqiang@buaa.edu.cn), and Dongming Fan (Beihang University, China, Email: fdm314@buaa.edu.cn). Please submit the paper directly to the organizers of the special session.

(11) Special Session on “Complex system modeling, simulation and accelerated lifetime test” Organized by Ying Chen (Beihang University, China, Email: cheny@buaa.edu.cn). Please submit the paper directly to the organizers of the special session.

(12) Special Session on “ Reliability Economics and Uncertainty Quantification” Organized by Rui Peng (Beijing University of Technology, China, Email: pengrui1988@bjut.edu.cn) and Kaiye Gao (Beijing Information Science & Technology University, China, Email: kygao@foxmail.com). Please submit the paper directly to the organizers of the special session.

(13) Special Session on “Reliability, Fault Diagnosis and Prognostics of New Energy Systems” Organized by Weiwen Peng (Sun Yat-sen University, China, Email: pengww3@mail.sysu.edu.cn), Cheng-Geng Huang (Sun Yat-sen University, China, Email: huangchg5@mail.sysu.edu.cn), and Yan Gao (University of Electronic Science and Technology of China, China, Email: gaoyan@uestc.edu.cn). Please submit the paper directly to the organizers of the special session.

Keynote Speakers

■  Keynote Speaker 1

Xu Han, PhD, Professor, President

Hebei University of Technology, China

Title: Key Technologies for Reliability Evaluation of Industrial Robots

Abstract: In recent years, the technologies and intelligence level in the field of industrial robots have been greatly improved, and owing to the development of robot body, system integration and production of key components, the domestic substitution rate has also been continuously increased. In particular, the requirements of high reliability, long life, and high performance have brought new challenges to the performance testing, evaluation technology, and the performance of the testing equipment. Due to the characteristics of multi-environment stress coupling and the dynamic multi-variable in the service conditions of industrial robots, how to achieve the fast and effective testing and accurate performance evaluation, develop high-performance professional testing equipment have become the bottleneck problem. This report will introduce the reliability acceleration test technology and the corresponding test equipment driven by the real service conditions, the motion accuracy testing and improving technology, the reliability prediction and optimization technology for industrial robots. A comparison with the cutting-edge achievements in this field is also conducted to show the importance and advantages of the proposed technical method.

Biography: Professor Xu Han has specialized principally in reliability analysis, advanced design theory and method of complex equipment based on numerical simulation, etc. He has contributed greatly to high performance engineering optimization design theory and method system, and developed the non-probabilistic reliability modeling and design of the theoretical framework. Prof. Han’s related theory achievement has been successfully applied to manufacturing equipment, vehicle engineering, engineering machinery, and other fields. Prof. Han serves as the associate editors for ASME Journal of Mechanical Design, Inverse Problems in Science & Engineering and International Journal of Computational Methods. He is  the author of 4 monographs and has published more than 200 peer-reviewed papers with over 10,000 citations, and has been named as a Highly Cited Chinese Researcher of Mechanical Engineering in the years of 2014 to 2021. Prof. Han has received numerous awards including the Second Prize of National Science and Technology Progress Award, First Prize of Technology Invention Award of China Machinery Industry Federation, Science and Technology Outstanding Contribution Award of Hebei Province.

■  Keynote Speaker 2

Shubin Si, PhD, Professor

Department of Industrial Engineering, Northwestern Polytechnical University, China

Title: Resilience Analysis of Complex Systems with Multi-mechanism Coupling

Abstract: We first introduce the general definition, multidisciplinary and general analysis framework of system resilience. Then, this research propose a resilience analysis method for the high-dimensional complex networks with multi-mechanism coupling. The alternative stable states, abrupt phase shifts and tipping points, critical slowing down and other law phenomena of complex systems are also described in detail. Finally, the cases of ecological network, gene regulation network, social network, financial risk network and liver function network are discussed to show the application methods of the multi-mechanism coupling theory of complex system resilience models.

Biography: Dr. Shubin Si is a professor in the Department of Industrial Engineering at Northwestern Polytechnical University (NPU), Xi’an, China. He received his Ph.D. degree in Management Science and Engineering from NPU in 2006. His research interests include resilience and reliability analysis for complex systems. Now he has published more than 90 research papers in international journals such as PNAS、Frontiers of Engineering ManagementIISE Transactions, IEEE Transactions on Reliability, Reliability Engineering and System Safety, etc. He is an Associate Editor for IEEE Transactions on Reliability, a vice Chairman of Reliability Committee of Operation Research Society of China and a Vice Chairman of Industrial Engineering Committee of Chinese Society of Optimization. He is also a senior Member of IISE and a senior Member of IEEE.

■  Keynote Speaker 3

Zhencai Zhu, PhD, Professor, Vice President of CCMS

China University of Mining and Technology,China

Title: Key Technology of Large Hoisting Equipment for Annual Output of 10 Million Tons Coal Mine

Abstract: Shaft hoisting is the main way to transport raw coal, equipment and personnel in mines. With the increasing demand for coal, the annual generation capacity of large-scale shaft in China has reached 10 million tons, and the mining depth has reached more than 1,000 meters, which puts forward higher requirements for efficient coal mining technology and supporting equipment. This report will first introduce the key technologies of large-scale hoisting equipment with a well depth of less than 1000m, including the key technologies of large-scale hoists, large-scale hoisting containers and the safe operation guarantee technologies of hoisting systems. Then, it introduces the problems existing in large-scale hoisting equipment with well depth of 1500-2000m at present, compares the design differences of single-rope winding, double-rope winding and multi-rope winding hoists, and focuses on the design points and application prospect of double-rope winding hoists.

Biography: Prof. ZHU has long been engaged in the research of mine hoisting transportation technology and equipment. He has presided over the National Key Research and Development Program, National Basic Research Program of China (973 Program), National High-tech R&D Program (863 Program) and Key Project of National Natural Science Foundation of China. He has hold 52 international invention patents and 55 Chinese invention patents as the first inventor. His research achievements have won two second prize of National Technology Invention Award (Ranked 1 and 2), two second prize of National Science and Technology Progress Award (Ranked 1), four first prize of Jiangsu Provincial Science and Technology Award (Ranked 1), and two first prize of Science and Technology Progress of Ministry of Education (Ranked 1 and 2). He is an expert enjoying the Special Government Allowance of the State Council and selected as the National Candidates of Millions of Talents Project in the New Century. He has won the National Outstanding Scientific and Technological Worker, Ho Leung Ho Lee Award for science and technology innovation, China Youth Science and Technology Award, National Outstanding Engineer Award, Sun Yueqi Energy Award, and Chief Scientist of “333 Talent Project” in Jiangsu province.

■  Keynote Speaker 4

Xiaosheng Si, PhD, Professor

Zhijian Laboratory, Rocket Force University of Engineering,China

Title: Data-driven Remaining Useful Life Prediction Techniques for Stochastic Degrading Systems

Abstract: Stochastic degradation data analysis is the basic and core component to implement life prognosis and health management of complex engineering systems. Extensive studies on this subject have been witnessed in the fields of reliability and system engineering. This report will be focused on challenging and fundamental problems in data modeling and model solution for the remaining useful life prediction of stochastic degrading systems. The emphasis will be placed on techniques dealing with linear models, nonlinear model, and switching models. Finally, the future directions will be discussed.

Biography: Xiaosheng Si received the B. Eng., M. Eng., and Ph.D. degrees from the Department of Automation, Rocket Force University of Engineering, Xi’an, China, in 2006, 2009, and 2014, respectively, all in control science and engineering. He is currently a Professor in Zhijian Laboratory with the Rocket Force University of Engineering. He has authored or co-authored more than 70 articles in several journals including European Journal of Operational Research, IEEE Transactions on Industrial Electronics, IEEE Transactions on Reliability, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transaction on Automation Science and Engineering, Reliability Engineering and System Safety, and Mechanical Systems and Signal Processing. He is an active reviewer for a number of international journals. His research interests include evidence theory, expert system, prognostics and health management, reliability estimation, predictive maintenance, and lifetime estimation. Dr. SI is an Editorial Member of Mechanical Systems and Signal Processing and IEEE ACCESS.

■  Keynote Speaker 5

Liyang Xie, PhD, Professor

Northeastern University, China

Title: Reliability Methods – from Theory to Application

Abstract: Concerned by the reliability analyses in engineering are events with very small occurring probability described through the left tail of a life probability density function curve, while the random events that the classical probability theory can well analyzed is large probability ones described by the middle part of pdf curves. For parameter estimation, most of the methods work well for large size samples, while normally only small size samples are available for practical engineering problems. This lecture explains the demand of reliability engineering for probability and statistics theory and method, highlights the gap between reliability theory and engineering application, discusses potential ways to resolve reliability analysis and probability estimation problems in engineering.

Biography: Prof. Liyang Xie is a professor at Northeastern University, Shenyang, China. He received his BS (1982) in mechanical Manufacturing, MS (1985) & PhD (1988) in structural integrity from Northeastern University, Shenyang, China. He worked one year in the Probabilistic Safety Analysis Institute, TUVE Nord, Hamburg, Germany in 1996 and two more years in the Department of Plant Safety, Otto-von-Guericke University, Magdeburg, Germany during 1997-1998. His research interests include structural integrity, reliability and system probabilistic risk analysis. He has published more than 100 research papers in peer reviewed journals and six books. He is editorial board member of Int. J. of Reliability and Safety, Int. J. of Advances in Reliability and Engineering Failure Analysis. He is the Vice Chairman of Fatigue Branch of Chinese Materials Research Society, Vice Chairman of Reliability branch of Chinese society of Mechanical Engineering.

■  Keynote Speaker 6

Shuncong Zhong, PhD, Chair Professor

Dean of School of Mechanical Engineering and Automation, Fuzhou University

Director of Human Resources, Fuzhou University

Founder and Director, Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing

Director, Nondestructive Testing Branch, Fujian Mechanical Engineering Society

Title: Terahertz Nondestructive Testing and Quantitative Evaluation

Abstract: Terahertz (THz) waves, whose frequencies range between microwave and infrared, are part of the electromagnetic spectrum. A gap exists in THz literature because investigating THz waves is difficult due to the weak characteristics of the waves and the lack of suitable THz sources and detectors. Recently, THz nondestructive testing (NDT) technology has become an interesting topic. This presentation will outline several typical THz devices and systems and engineering applications of THz NDT techniques in composite materials, thermal barrier coatings, car paint films, marine protective coatings, and pharmaceutical tablet coatings. THz will be compared with the other existing NDT techniques such as ultrasound imaging, optical coherence tomography etc. The talk will present the significance and advantages provided by the emerging THz NDT technique.

Biography: Prof. ZHONG got his PhD degree from The University of Manchester, United Kingdom, in 2007. He had many-year industrial and academic career in Imperial College London, University of Liverpool, University of Strathclyde, Shanghai Jiaotong University, and Mindray Co., Ltd. His research interests are on optical and terahertz instrumentations, non-destructive testing & evaluation, intelligent sensing and diagnosis, signal and image processing, and pattern recognition for diagnosis and prognostics. He has hold more than 65 Chinese patents and has published 3 book/chapters, 1 ISO standard and more than 200 journal papers in Angewandte, Nanophotonics, Nanoscale, Mechanical Systems and Signal Processing, Structural Control and Health Monitoring, etc. He received First Prize of Fujian Provincial Science and Technology Award, and National middle-aged and young experts with outstanding contributions in 2020. He was elected as a Fellow of the Institution of Engineering and Technology and a Fellow of International Society for Condition Monitoring in 2018 and 2020 respectively.

■  Keynote Speaker 7

Xian-Cheng Zhang,PhD, Professor

East China University of Science and Technology, China

Title: Progress in Creep-Fatigue Life Design for High-Temperature Structures

Abstract: Many key-section components in aero-engines, gas turbines, pressure vessels and pipelines at elevated temperatures are always subjected to creep-fatigue loads. Therefore, the development of a high-precision creep-fatigue life design method based on failure physics has important engineering significance and far-reaching practical implications. The report demonstrates the research progress in four aspects: mesoscopic-macroscopic, air-environment, uniaxial-multiaxial and deterministic-probabilistic. The above research progress has achieved the initial leap from “empirical” to “physical”, which is of certain theoretical value to enrich the high-temperature strength theory based on failure physics, and also lays the scientific foundation for the future reliability operation and maintenance integrating digital twinning.

Biography: Dr. Zhang has been working on the fundamental research and technical assistance to guarantee the long-term and high-reliability operations of the components at high/low-temperature harsh environments. His main academic achievements can be reflected in the following three aspects, namely establishing life design methods on the basis of damage mechanics approach, proposing life assessment methods on the basis of multi-scale fracture mechanics, and developing life improvement technologies on the basis of surface integrity regulations. He has obtained the Second Prize in China’s State Natural Science Award, Henry Granjon Prize of International Institute of Welding, China Youth Science and Technology Award. He has been selected into the National Science Fund for Distinguished Young Scholars, and the National Defense Science and Technology Fund for Excellence Young Scholars. He has served as associate editor or editorial board member of 10 journals. He is the director of Key Laboratories of the Ministry of Education, the director of collaborative innovation center for Aeroengine Life Prediction of AECC Commercial Aircraft Engine Co., Ltd, and the director of Collaborative Innovation Center for Structural Integrity of China United Gas Turbine Technology Co., Ltd.

■  Keynote Speaker 8

Paolo Gardoni, PhD, Professor, RESS Editor-in-Chief

University of Illinois at Urbana-Champaign, USA

Title: An Overview of Regional Risk and Resilience Analysis

Abstract: Civil structures and infrastructure provide vital services that support and enable societal functions. Therefore, ensuring their reliability and prompt recovery is critical for the public’s well-being and economic prosperity. The consequences of past disasters around the world have raised concerns about the vulnerability of civil structures and infrastructure and have highlighted the significance of risk mitigation and management. The maintenance, repair, or replacement of existing vulnerable, deficient, and deteriorating structures and infrastructure represents a significant investment. To wisely invest the limited funding, it is crucial to use advanced risk analysis tools in the decision-making process. This presentation discusses a general formulation for regional risk and resilience analysis. The presentation explains how to conduct a regional risk and resilience analysis considering multiple hazards and different infrastructure, as well as the effects of deterioration and interdependencies among infrastructure. Finally, the presentation concludes with the modeling of business interruption due to a hypothetical earthquake in the New Madrid seismic zone.

Biography: Paolo Gardoni is the Alfredo H. Ang Family Professor and an Excellence Faculty Scholar in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. He is also a Professor in the Department of Biomedical and Translational Sciences in the Carle Illinois College of Medicine, and a Fellow of the Office of Risk Management & Insurance Research in the Gies College of Business. He is the Director of the Multi-hazard Approach to Engineering (MAE) Center, the Editor-in-Chief of the journal Reliability Engineering and System Safety, and the founder and former Editor-in-Chief of the journal Sustainable and Resilient Infrastructure. Prof. Gardoni is a member of the Board of Governors of the Engineering Mechanics Institute of the American Society of Civil Engineering, and of several national and international committees and associations on risk, reliability, and resilience analysis. His research interests include probabilistic mechanics; reliability, risk and life cycle analysis; decision-making under uncertainty; performance assessment of deteriorating systems; modeling of natural hazards and societal impact; ethical, social and legal dimensions of risk; optimal strategies for natural hazard mitigation and disaster recovery; and engineering ethics. Prof. Gardoni is the 2021 recipient of the prestigious Alfredo Ang Award on Risk Analysis and Management of Civil Infrastructure from the American Society of Civil Engineers. The award was given for his contributions to risk, reliability, and resilience analysis, and his leadership in these fields. He is the author of 1 book, 9 edited volumes, over 200 journal papers, and 28 book chapters; and has received over $50 million in research funding.