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ElasticMatrix Toolbox

version 1.0.2 (8.28 MB) by Danny Ramasawmy
The ElasticMatrix software uses the partial-wave method to model elastic wave propagation in multilayered anisotropic media.


Updated 26 Nov 2020

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GitHub view license on GitHub

Simulating the propagation of elastic waves in multi-layered media has many applications. A common approach is to use matrix methods where the elastic wave-field within each material layer is represented by a sum of partial waves along with boundary conditions imposed at each interface. While these methods are well-known, coding the required matrix formation, inversion, and analysis for general multi-layered systems is non-trivial and can take a long time.

Here, a new open-source toolbox called ElasticMatrix is introduced which solves the problem of acoustic and elastic wave propagation in multi-layered media for isotropic and transverse-isotropic materials where the wave propagation occurs in a material plane of symmetry. The toolbox is implemented in MATLAB using an object oriented programming framework and is designed to be easy to use and extend. Methods are provided for calculating and plotting dispersion curves (Lamb waves and other guided waves), displacement and stress fields, reflection and transmission coefficients, and slowness profiles (from the Christoffel Equation).

Known issues:
- For leaky structures the Lamb modes can trace incorrectly. If this occurs, try the .calculateDispersionCurveCoarse method.

Cite As

Danny Ramasawmy (2020). ElasticMatrix Toolbox (, GitHub. Retrieved .

Ramasawmy, Danny R., et al. “ElasticMatrix: A MATLAB Toolbox for Anisotropic Elastic Wave Propagation in Layered Media.” SoftwareX, vol. 11, Elsevier BV, Jan. 2020, p. 100397, doi:10.1016/j.softx.2020.100397.

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Comments and Ratings (3)

Danny Ramasawmy

Thanks Bhawna, please contact me if you need any help or want to develop and edit the toolbox for your own projects.


This toolbox is very helpful. Thank you!

hasan yousefi

I'm interested in getting to know this Tolbox.

MATLAB Release Compatibility
Created with R2019a
Compatible with R2016a to R2019b
Platform Compatibility
Windows macOS Linux

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