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LIU Zhao, tenure-track Associate professor. In 2016, he graduated from the School of Mechanical Engineering of Shanghai Jiaotong University with a Ph.D. and joined the postdoctoral station of the School of Mechanical in the same year. In 2017, he obtained the overseas faculty reserve project of Shanghai Jiaotong University, and went to the S.M. Wu Manufacturing Research Center of the University of Michigan, Ann Arbor, as an assistant researcher. During this period, he won the Ford Outstanding Contribution Award of project “Method and Process Development of Design for Additive Manufacturing for Vehicle Safety Application”. In 2019, he entered the School of Design of Shanghai Jiaotong University. He has published 19 first author papers, including 7 SCI papers, and has applied for 14 national invention patents. He has presided over and participated in many scientific research projects such as the National Natural Science Foundation, the National Major Science and Technology Project, the Shanghai Municipal Science and Technology Commission Project, and the international cooperation project.
Research direction: intelligent design theory and method, data mining for industrial complex structure data, intelligent system design and application
1. Zhao Liu, Jiahai Lu, Ping Zhu. Lightweight design of automotive composite bumper system using modified particle swarm optimizer. Composite Structures, 2016, 140: 630-643. (SCI)
2. Zhao Liu, Chao Zhu, Ping Zhu, Wei Chen. Reliability-based design optimization of composite battery box based on modified particle swarm optimization algorithm. Composite Structures, 2018, 204: 239-255. (SCI)
3. Zhao Liu, Ping Zhu, Wei Chen. Improved particle swarm optimization algorithm using design of experiment and data mining techniques. Structural and Multidisciplinary Optimization, 2015, 52(4): 813-826. (SCI)
4. Zhao Liu, Zeyang Li, Ping Zhu, Wei Chen. A parallel boundary search particle swarm optimization algorithm for constrained optimization problems. Structural and Multidisciplinary Optimization, 2018, 58(4): 1505-1522. (SCI)
5. Zhao Liu, Chao Zhu, Ping Zhu. Generation of random fiber distributions for unidirectional fiber‐reinforced composites based on particle swarm optimizer. Polymer Composites, 2019, 40(4): 1643-1653. (SCI)
6. Zhao Liu, Ping Zhu, Chao Zhu, Wei Chen, Ren-Jye Yang. A modified particle swarm optimization algorithm and its application in vehicle lightweight design. International Journal of Vehicle Design, 2017, 73: 116-135. (SCI)
7. Zhao Liu, Han Li, Ping Zhu. Diversity enhanced particle swarm optimization algorithm and its application in vehicle lightweight design. Journal of Mechanical Science and Technology, 2019, 33(2):695-709. (SCI)
8. Zhao Liu, Ping Zhu, Wei Chen, Ren-Jye Yang. A modified particle swarm optimization algorithm with design of experiment technique and a perturbation process. SAE Technical Paper, 2015. (EI)
9. Zhao Liu, Ping Zhu, Liwei Wang, Hongyi Xu, Chuang Ching-Hung. Multidisciplinary optimization of auto-body lightweight design using hybrid metamodeling technique and particle swarm optimizer. SAE International Journal of Materials and Manufacturing, 2018, 11(4):373-384. (EI)
10. Zhao Liu, Han Li, Ping Zhu. Multidisciplinary design optimization of car body based on particle swarm algorithm. Automotive Engineering, 2018, 3: 251-258. (EI)
11. Zhao Liu, Ping Zhu, Ming Yu, Jiahai Lu. Passener car-body crashworthiness based on the force transmission path of frontal impact. J Automotive Safety and Energy, 2011, 2(4): 317-322.（CSCD）
12. Zhao Liu, Ping Zhu, Qinghui Ji. The lightweight design of dump truck carriage based on the static and dynamic working conditions. Mechanical science and technology for aerospace engineering，2016, 35(5): 762-767.（CSCD）
13. Zhao Liu, Zeyang Li, Ping Zhu. Modified particle swarm optimization algorithm using in lightweight design of auto-body. J Automotive Safety and Energy, 2017, 8(1):30-37.（CSCD）
14. Zhao Liu, Ping Zhu, Liwei Wang, Chuang Ching-Hung. Multidisciplinary optimization of auto-body lightweight design using hybrid metamodeling technique and particle swarm optimizer. SAE World Congress Experience, Detroit, USA, 2018.
15. Zhao Liu, Ping Zhu, Chao Zhu, Wei Chen. Reliability-based design optimization of composite battery box based on modified particle swarm optimization algorithm. 20th International Conference on Composite Structures, Paris, France, 2017.
16. Liu Zhao, Zhu Ping, Chen Wei, Yang Ren-Jye. Multidisciplinary optimization of auto-body lightweight design using modified particle swarm optimizer. 11th World Congress on Structural and Multidisciplinary Optimization, Sydney, Australia, 2015.
17. Liu Zhao, Zhu Ping, Zhu Xiaojing. Lightweight design and formability analysis of auto-body aluminum trunk lid. FISITA 2012 World Automotive Congres, Beijing, China, 2012.
1. 2017.10-2019.12: National Natural Science Foundation of China project “Study on particle swarm optimization algorithm for the lightweight design of new energy automobile” ， Project leader
2. 2017.01-2018.10: National Postdoctoral Foundation of China project “Structural Optimization of Auto-body based on Particle Swarm Optimization” ，Project leader
3. 018.10-2020.10: National Key Laboratory of Automotive Simulation and Control project “Research on method of multiscale optimization of carbon fiber reinforced composite under hybrid uncertainty”，Project leader
4. 2016.07-2017.12: Pan Asia Technical Automotive Center project “Research and application of the Vehicle lightweight technology”
5. 2014.01-2017.12: National Natural Science Foundation of China project “CFRP impact damage mechanical and multi-scale optimization design for new energy vehicle energy absorption component”
6. 2014.01-2015.12: Guoqi (Beijing) Auto Lightweight Technology Research Institute Co., Ltd. project “R&D and performance evaluation of lightweight materials battery pack of electric vehicle”.
7. 2012.09-2015.09: Ford University Research Program (URP),“Effective and Robust Platform MDO Methodology for Vehicle Design”.
8. 2012.09-2015.12: Science and Technology Commission of Shanghai Municipality project “CFRP typical component R&D and constitutive modeling for new energy vehicle”