https://github.com/echeynet/ssicov
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
https://github.com/echeynet/ssicov
algorithm ambient-vibrations modal-parameters ssi-cov stabilization-diagrams suspension-bridge
Last synced: about 1 month ago
JSON representation
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
- Host: GitHub
- URL: https://github.com/echeynet/ssicov
- Owner: ECheynet
- License: bsd-3-clause
- Created: 2020-03-21T08:46:29.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-04-11T14:52:30.000Z (about 1 year ago)
- Last Synced: 2025-03-25T13:21:07.740Z (about 2 months ago)
- Topics: algorithm, ambient-vibrations, modal-parameters, ssi-cov, stabilization-diagrams, suspension-bridge
- Language: MATLAB
- Size: 2.53 MB
- Stars: 29
- Watchers: 2
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Operational modal analysis with automated SSI-COV algorithm
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
[](https://se.mathworks.com/matlabcentral/fileexchange/69030-operational-modal-analysis-with-automated-ssi-cov-algorithm)
[](https://zenodo.org/badge/latestdoi/248938005)
## Summary
The function SSICOV.m aims to automatically identify the eigenfrequencies, mode shapes and damping ratios of a line-like structure using ambient vibrations only. The covariance-driven stochastic subspace identification method (SSI-COV) is used in combination with a clustering algorithm to automatically analyse the stabilization diagrams.
The algorithm is inspired by the one used by Magalhaes et al. [1]. It has been applied for ambient vibration monitoring of the Lysefjord Bridge [2] and was compared to the frequency domain decomposition technique [3]. Finally, the algorithm was found accurate enough to visualise the evolution of the bridge eigenfrequencies with the temperature [4].
## content
The submission file contains:
- A data file BridgeData.mat
- A Matlab Live Script Example1.mlx that illustrates the application of the algorithm.
- A Matlab Live Script Example1_noToolbox.mlx that reproduce Example1 but using the function SSICOV_noToolbox.
- The function SSICOV which is the automated SSI-COV algorithm.
- The function SSICOV_noToolbox which is the automated SSI-COV algorithm but does not use the Statistics and Machine Learning Toolbox. The Linkage algorithm is replaced by the function "PHA_Clustering" by [5] and the function "cluster" is replaced by the function "Cluster2", which is derived from [6].
- The function plotStabDiag.m, which plot the stabilization diagram.
Any question, suggestion or comment is welcomed.
## References
[1] Magalhaes, F., Cunha, A., & Caetano, E. (2009). Online automatic identification of the modal parameters of a long span arch bridge. Mechanical Systems and Signal Processing, 23(2), 316-329.
[2] Cheynet, E., Jakobsen, J. B., & Snæbjörnsson, J. (2016).Buffeting response of a suspension bridge in complex terrain. Engineering Structures, 128, 474-487.
[3] Cheynet, E., Jakobsen, J. B., & Snæbjörnsson, J. (2017).Damping estimation of large wind-sensitive structures.Procedia Engineering, 199, 2047-2053.
[4] Cheynet, E., Snæbjörnsson, J., & Jakobsen, J. B. (2017).Temperature Effects on the Modal Properties of a Suspension Bridge.In Dynamics of Civil Structures, Volume 2 (pp. 87-93). Springer.
[5] Yonggang (2021). Fast hierarchical clustering method - PHA (https://www.mathworks.com/matlabcentral/fileexchange/46134-fast-hierarchical-clustering-method-pha), MATLAB Central File Exchange. Retrieved February 4, 2021.
[6] Eric Ogier (2021). Hierarchical clustering (https://www.mathworks.com/matlabcentral/fileexchange/56844-hierarchical-clustering), MATLAB Central File Exchange. Retrieved February 4, 2021.