Dr Yuan Li
BEng, Ph D
Current positions
Senior Research Associate
Department of Mechanical Engineering
Contact
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Research interests
Dr Li’s research focuses on the optimum multidomain vibration-absorber synthesis methodology.
There are numerous design possibilities for vibration absorbers involving components from multiple domains (mechanical, hydraulic, pneumatic and electrical). The conventional design approach for a multidomain absorber only covers a limited number of specific designs while leaving a large variety of design potential unexplored. Dr Li is developing a systematic methodology to synthesize the optimum vibration-absorber properties (consisting of damping, stiffness and inertance), using multidomain components. Dr Li’s work makes use of analytical-modelling, numerical-simulation and experimental-verification techniques. The developed methodology can be applied for a wide range of applications, specifically including the designs of hydro-pneumatic and mechatronic suspensions for automotive and trailing arm bushes for railway vehicles.
Projects and supervisions
Research projects
Enhanced trailing arm bush design for rail surface damage reduction
Principal Investigator
Role
Researcher
Managing organisational unit
Department of Mechanical EngineeringDates
01/07/2019 to 31/05/2020
Publications
Recent publications
01/01/2022A design methodology for passive mechatronic vibration absorbers
Mechanism and Machine Theory
Design tool for elementary shunts connected to piezoelectric patches set to control multi-resonant flexural vibrations
Journal of Sound and Vibration
Using an inerter to enhance an active-passive-combined vehicle suspension system
International Journal of Mechanical Sciences
Enhanced trailing arm bush design for rail surface damage reduction
Enhanced trailing arm bush design for rail surface damage reduction
Optimal design of inerter-integrated vibration absorbers for seismic retrofitting of a high-rise building in Colombia
XIIIth International Conference on Recent Advances in Structural Dynamics
Thesis
Optimal Design Methodologies for Passive Vibration Suppression
Supervisors
Award date
06/11/2018