This MATLAB project implements two inversion algorithms for imaging crack networks using acoustic far-field data. The code computes novel indicator functions sensitive to local crack density, enabling quantitative evaluation of damage in complex materials. The results from this code are featured in the paper published in SIAM Journal on Scientific Computing.
References:
[1] Audibert, L., Chesnel, L., Haddar, H., & Napal, K. (2021). Qualitative indicator functions for imaging crack networks using acoustic waves. SIAM Journal on Scientific Computing, 43(2), B271–B297.