This is a simple collection of MATLAB functions for correlation analysis using the transformation matrix T.
No installation is required — just add the folder to your MATLAB path.
T_Mass.m: Computes the T-Mass indicator to assess correlation in terms of mass between two models.T_Stiffness.m: Computes the T-Stiffness indicator to assess correlation in terms of stiffness between two models.Rotmac.m: Computes the MAC and ROTMAC correlation matrices between two models.
Three example scripts are provided in the Examples/ folder, demonstrating how to use the functions and interpret
the results using a simple analytical 3-DOF system. For a deeper understanding, users are strongly encouraged
to consult the related literature cited below.
This code is released under the MIT License.
You are free to use, modify, and distribute it, with proper attribution.
If you use these functions in your research, please consider citing the following works:
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García Fernández, N., Fernández Fernández, P., Brincker, R., & Aenlle López, M. (2024).
Mass and Stiffness Correlation Using a Transformation Matrix, Infrastructures, 9(6), 96.
https://doi.org/10.3390/infrastructures9060096 -
Aenlle, M., García Fernández, N., & Fernández, P. (2024).
Rotation of mode shapes in structural dynamics due to mass and stiffness perturbations,
Mechanical Systems and Signal Processing, 212, 111269.
https://doi.org/10.1016/j.ymssp.2024.111269
This code was implemented by Natalia García Fernández.
For inquiries or suggestions, please contact: garciafnatalia@uniovi.es