Experimental data modelling off-road vehicle travel

In summary, experimental data for off-road vehicle travel is collected through field testing, simulators, or laboratory experiments. The modelling process takes into account factors such as terrain type, vehicle specifications, driving conditions, and environmental factors. The accuracy of the model is ensured through testing and validation, with the use of advanced technology. Different types of off-road vehicles can be modelled, with varying parameters and variables. The benefits of using experimental data modelling include optimizing vehicle design, reducing costs and time, and predicting potential issues.
  • #1
Geegeegee
2
0
Hi everyone,
I am looking for any available experimental data which models off-road vehicle travel in clay and measures tyre and soil parameters. Parameters I am looking for include pull, torque, shear strength of the soil, sinkage, slip and deflection. If anyone knows of any available raw data from experiments which have been conducted in the past it would be of great help as I am finding it difficult to find anything of relevance!
 
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  • #2
Soil is tough to model in an off road traction sense.
 

1. How is experimental data collected for off-road vehicle travel?

Experimental data for off-road vehicle travel is typically collected through field testing, where the vehicle is driven on different types of terrain and its performance is recorded. This can also be done through simulators or controlled laboratory experiments.

2. What factors are considered in the experimental data modelling of off-road vehicle travel?

The experimental data modelling of off-road vehicle travel takes into account various factors such as terrain type, vehicle weight and dimensions, tire type and pressure, driving speed, and environmental conditions. These factors can greatly affect the performance of the vehicle and must be carefully considered in the modelling process.

3. How is the accuracy of experimental data modelling for off-road vehicle travel ensured?

The accuracy of experimental data modelling for off-road vehicle travel is ensured through rigorous testing and validation. This involves comparing the model's predictions with actual field data and making adjustments to improve its accuracy. The use of advanced software and technology also helps in minimizing errors and improving the precision of the model.

4. Can experimental data modelling be used for different types of off-road vehicles?

Yes, experimental data modelling can be used for different types of off-road vehicles such as trucks, SUVs, ATVs, and motorcycles. However, the specific parameters and variables used in the modelling may vary depending on the type of vehicle.

5. What are the benefits of using experimental data modelling for off-road vehicle travel?

Experimental data modelling offers numerous benefits for off-road vehicle travel such as optimizing vehicle design and performance, reducing costs and time in physical testing, and predicting potential issues or failures before they occur. It also allows for more efficient and safer operation of off-road vehicles in various terrains and conditions.

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