The 12th International Conference on Fracture Fatigue and Wear (FFW 2024)

Abstract: The aim of this talk is to investigate the large structural dynamic behaviors from structural optimization to condition assessment. In terms of large-scale structures like high-rising Canton tower, Yingwuzhou long-span bridge and high-speed railway system, the introduction of model updating gives an alternative in certain condition assessment. The key idea is to find effective factors like natural frequencies, mode shapes and so on relying on the structural behaviors, which will serve as the basis for iterative updating in further structural optimization and condition assessment. The model updating has been evolved with new algorithms like genetic algorithm (GA), particle swarm optimization(PSO) and so on. These algorithms make the applicability of model updating in large scale structures like long span bridges. In engineering application, the model updating technique can highly improve the design efficiency with optimal solution, as well as to the condition assessment with limited sensors. Some real engineering applications will be introduced to show the applicability of model updating based techniques.

Biography: Yunlai Zhou Jointed the Xi’an Jiaotong University in 2020 as an associate professor of engineering mechanics. Since 2010 Yunlai Zhou has focused his attention mainly on problems related to the nondestructive testing, dynamic and fatigue assessment of engineering structures from both testing and analytical aspects. In particular, by studying and working in Europe (Technical University of Madrid, Lisbon University, Lusofona University, Ghent University), in Singapore (National University of Singapore), and in Hongkong SAR (Hongkong Polytechnic University), he has developed several methods suitable for structural optimization and condition assessment including static, dynamic and fatigue failures. Yunlai Zhou has conducted both theoretical and experimental studies in nondestructive testing techniques like phased array ultrasonic testing (PAUT), electromagnetic acoustic transducer (EMAT). He has an outstanding expertise in nondestructive testing system design, data analysis for structural optimization and condition assessment.
The work done in the above research areas has led to more than 100 scientific papers 2012-2022 (of which more than 60 articles in international peer-reviewed scientific journals) as well as to 3 books devoted to the structural dynamic analysis from structural optimization to health monitoring (Magd Abdel Wahab, Yunlai Zhou, Nuno MM Maia (2018). Structural Health Monitoring from Sensing to Processing. IntechOpen Press. ISBN: 978-1-78923-788-7, Print ISBN: 978-1-78923-787-0. Yunlai Zhou, Magd Abdel Wahab (2019). Bridge optimization, inspection and condition monitoring. IntechOpen Press. ISBN: 978-953-51-8054-8. Yunlai Zhou, Magd Abdel Wahab, Nuno MM Maia, Linya Liu, Eloi Figueiredo (2019). Data Mining in Structural Dynamic Analysis. Springer Nature Singapore Pte Ltd. 2019. ISBN: 978-981-15-0500-3).

His scientific outputs have received much attention from the international scientific community, with obtaining more than 1100 citations and an h-index of 19 with more than 5.65k from Google Scholar. He is associate editor of two international journals, KSCE Journal of civil engineering, and Frontiers in Smart Materials, also he is a member of the Editorial Boards of more than 6 international journals including Shock and Vibration, Advances in Mechanical Engineering(SAGE) and so on.