In this project you will be given with the real-time experimental PSD data of the road, you will write a Matlab/ Octave code to plot the PSD profile of the road. The obtained PSD plot of the given data will be superimposed on the ISO chart to find the road quality. By doing this, you will classify the road according to International Standard Organisation(ISO) .
Step 1 - Fundamentals of Power Spectral Density
Step-2: ISO Road Classification
Step 3 :Matlab Scripting
Step-4 : Road Roughness Measurement for the given PSD data
In this project you will be given with the real-time experimental PSD data of the road,
If you are a 3rd-year student with an aspiration to become a vehicle dynamics engineer. (As a starting point for your career)
If you have a plan to do Masters in motorsport/automotive engineering related courses.
Anyone interested in developing their skill sets in vehicle dynamics.
MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation.
Road roughness is the measure of longitudinal irregularities of road surface from the true reference plane, it plays a vital role in ride comfort and performance of the vehicle in terms of maintenance cost ,reduced speed and durability. Poor roads will increase the fuel consumption, travel time and there will be more wear in spare parts of the vehicle.In other words due to the irregular road surface, fatigue stress will act on the vehicle subsystem. Thus road roughness has to measured periodically, to avoid the above mentioned consequences of the poor road.
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