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Technical Paper

Development of Truck Tire-Soil Interaction Model using FEA and SPH

2013-04-08
2013-01-0625
Modern Finite Element Analysis (FEA) techniques allow for accurate simulation of various non-linear systems. However they are limited in their simulation of particulate matter. This research uses smooth particle hydrodynamics (SPH) in addition to FEA techniques to model the properties of soils, which allows for particle-level replication of soils. Selected soils are simulated in a virtual environment and validated using the pressure-sinkage and shear tests. A truck tire model is created based on standard heavy vehicle tires and validated using static deflection, contact footprint, and dynamic first mode of vibration tests. The validated tires and soils are used to create a virtual terrain and the tire is placed on the soil, loaded, and run over the soil at various speeds. The results of these simulations show that the SPH modeling technique offers higher accuracy than comparable FEA models for soft soils at a higher computational cost.
Technical Paper

Pickup Truck and Trailer Gross Vehicle Weight Study

2019-04-02
2019-01-1109
The objective of this paper is to evaluate the dynamic performance of pickup truck - trailer configurations, using performance measures adopted by Commercial Vehicle Safety and Enforcement (CVSE). The pickup truck models are selected based on the US truck classification that segregates trucks on the basis of the vehicle’s gross vehicle weight ratings (GVWR). Three different types of trailers - gooseneck trailer, pintle hook trailer and three-axle trailer with parametric hitch - are utilized in this study. The truck-trailer configurations will be evaluated for static rollover threshold, load transfer ratio, rearward amplification, friction demand, lateral friction utilization, high speed, low speed and transient off tracking and three-point handling performance. These measures are based on definitions from Canada’s heavy vehicle weights and dimensions study.
Technical Paper

Front Underride Protection Devices (FUPDs): Multi-Objective Optimization

2015-04-14
2015-01-1488
This work investigates a multi-objective optimization approach for minimizing design parameters for Front Underride Protection Devices (FUPDs). FUPDs are a structural element for heavy vehicles to improve crashworthiness and prevent underride in head-on collision with another vehicle. The developed dsFUPD F9 design for a Volvo VNL was subjected to modified ECE R93 testing with results utilized in the optimization process. The optimization function utilized varying member thickness to minimize deformation and system mass. Enhancements to the function were investigated by introducing variable materials and objectifying material cost. Alternative approaches for optimization was also needed to be explored. Metamodel-based and Direct simulation optimization strategies were compared to observe there performance and optimal designs. NSGA-II, SPEA-II Genetic Algorithms and Adaptive Simulated Annealing algorithms were under investigation in combination with three meta-modeling techniques.
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