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Directory profile for Dr. Sichen Yuan

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Dr. Sichen Yuan

Assistant Professor



  • B.S., Mechanical Engineering, Shanghai Jiao Tong University, China, 2012
  • M.S., Mechanical Engineering, University of Southern California, 2014
  • Ph.D., Mechanical Engineering, University of Southern California, 2019

Dr. Sichen Yuan is an Assistant Professor in the Department of Aerospace Engineering and Mechanics at The University of Alabama. He earned his master’s and doctoral degrees from the Department of Aerospace and Mechanical Engineering at the University of Southern California in 2014 and 2019, respectively. He received his Bachelor’s degree from the School of Mechanical Engineering at Shanghai Jiao Tong University in 2012.

From 2019 to 2023, Dr. Yuan was associated with the Department of Mechanical, Industrial, and Robotics Engineering at Lawrence Technological University. Throughout his academic journey, he has dedicated his efforts to research areas including deployable structures, dynamics systems, mechanical vibration, robotics, artificial intelligence, and mechanical metamaterials. His groundbreaking work has been featured in esteemed academic journals like the International Journal of Solids and Structures, AIAA Journal, Engineering Structures, and Acta Astronautica, and has garnered support from institutions such as the National Science Foundation.​

Affiliated Areas
Aerospace Engineering and Mechanics

Selected Publications

  • Yuan, S.* and Zhu, W., 2023. “A Cartesian spatial discretization method for nonlinear dynamic modeling and vibration analysis of tensegrity structures.” International Journal of Solids and Structures, 270, p.112179.
  • Yuan, S.*, 2022. “Review of root-mean-square error calculation methods for large deployable mesh reflectors.” International Journal of Aerospace Engineering, 2022.
  • Yuan, S.* and Zhu, W., 2021. “Optimal self-stress determination of tensegrity structures.” Engineering Structures, 238, p.112003.
  • Yuan, S.* and Jing, W., 2021. “Optimal shape adjustment of large high-precision cable network structures.” AIAA Journal, 59(4), pp.1441-1456.
  • Yuan, S. and Yang, B.*, 2019. “The fixed nodal position method for form finding of high-precision lightweight truss structures.” International journal of Solids and Structures, 161, pp.82-95.

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