A Framework for Uncertainty Quantification in Vehicle Dynamics pertaining to Terrain Modelling
This research area looks at a methodology for determining the statistics associated with the time evolution of a nonlinear multi-body dynamic system operated under input uncertainty. The focus is on the dynamics of ground vehicle systems in environments characterized by multiple sources of uncertainty: road topography, friction coefficient at the road/tire interface and aerodynamic force loading. Drawing on parametric maximum likelihood estimation, the methodology outlined is general and can be applied to systematically study the impact of sources of uncertainty characterized herein by random processes. The proposed framework is demonstrated through a study that characterizes the uncertainty induced in the loading of the lower control arm of an SUV type vehicle by uncertainty associated with road topography.
Quarter car vehicle simulation for durability analysis of suspension components
The purpose of this project is to assess the load histories in components that connect a wheel with various types of tires to the main body of a vehicle. Once the load histories are obtained, a durability analysis can be performed on the computer model of the component to suggest design improvements, material changes, and repairs and scheduling component replacements. This allows performance testing of a non-pneumatic tire model against a traditional pneumatic tire model. Efforts are being made to perform a co-simulation between full blown non-linear finite element tire model in ABAQUS and quarter car vehicle model in ADAMS.