Physics-Based Models

Recent projects

(1) Simulation-Based Study of Lateral Characteristics for Trucks with Double and Triple Trailers

This research provides a simulation-based evaluation for the lateral performance-based characteristics of 28-ft double, 33-ft double, and 28-ft triple trailer, in terms of rollover likelihood, rear amplification effect, and off-tracking

(2)  Machine Learning from Computer Simulations with Applications in Rail Vehicle Dynamics and System Identification

A stochastic model is developed to reduce the simulation time for the MBS model or to incorporate the behavior of the physical system within the MBS model. The main contributions for this projects are summarized as:

• Modifying the concept of stochastic modeling of a deterministic system to learn the behavior of a MBS model
• Incorporating the uncertainty that is associated with laboratory testing in the algorithm that is used to learn the behavior of a physical system
• Developing a sampling plan that is the most space-filling sampling plan considering the fact that the acquired data does not fill the entire hypercube of the design space
• Developing infill criteria that detects the locations where the stochastic model has problem predicting the behavior of the system and improves the accuracy of the stochastic model by including additional sampling points

(3) Advanced Modeling of Railway Ballast for Improving Railroad Tamping Operation

The primary objectives of this research are to:

• Develop modeling techniques for simulating tamping operation
• Undertake parametric studies to optimize process variables
• Explore new concepts for improving tamping results

(4) Roll and Yaw Stability Evaluation of Class 8 Trucks with Single and Dual Trailers in Various Speed, Maneuver, and Roadway Conditions

The objectives of the projects are to:

• Develop comprehensive roundabout models including key elements that potentially affect truck roll dynamics
• Evaluate the effect of modern roundabout geometry, truck configuration, and truck load condition on truck rollover likelihood in modern roundabouts
• Develop an accurate model of the 28-ft A-train double to study the mechanism of rearward amplification and jackknifing event

(5) Modeling, Control, and Design Study of Balanced Pneumatic Suspension for Improved Roll Stability in Heavy Trucks

The primary objectives of this study are:

• Simulate and analyze the effect of the balanced suspension on truck dynamics
• Conduct Failure Mode and Effects Analysis (FMEA) for the balanced suspension
• Suggest potential improvements for the balanced suspension control system

(6) Simulation and Testing of Wave-Adaptive Modular Vessels

The primary contributions of this research includes:

• First application of multi-post shaker rig testing to marine vessels
• Coined the term “Quarter-Boat” for simulating the dynamics of one corner of a marine vessel
• Established criteria for evaluating marine testing programs with suspension systems
• Coupling of Computational Fluid Dynamics (CFD) and Multi-Body Dynamics (MBD) codes for future WAM-V optimization