The average transmitted wave in random particulate materials: Monte-Carlo data

A Julia repo designed to replicate and validate wave scattering from a plate filled with randomly distributed particles. The code allows you to explore the effects of different parameters such as scatterer type, volume fraction, and frequency on wave scattering behavior.

1. Make sure you have Julia v1.6.7 or later, installed on your system.

2. Open your preferred Julia environment (REPL or Jupyter Notebook).

3. Navigate to the downloaded code directory within Julia.

4. Load the necessary packages included in loaddata.jl.

5. To load the data, modify the code's parameters using the provided flags:

• is_sound_soft: Set to true for sound-soft scatterers, and false for hard scatterers.
• is_two_wavenumbers: Set to true for two wavenumbers, and false for three wavenumbers.
• is_low_freq: Set to true for low frequency ka = 0.04, and false for frequenc ka = 0.36 or ka = 0.62.
• is_low_volfrac: Set to true for 5% volume fraction, and false for 25% volume fraction.

Run the code. The simulation will load the appropriate dataset based on your selected parameters and display the results.