# Automated Frequency Domain Decomposition (AFDD)
Automated Modal parameters identification from ambient vibrations measurement
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## Summary
The automated Frequency Domain Decomposition presented was applied in [1]. It inspired by the Frequency Domain Decomposition (FDD) introduced by [2, 3]. The goal is to identify the mode shapes, eigenfrequencies and modal damping ratios from acceleration records obtained during structural health monitoring of civil engineering structures subjected to ambient noise. In this submission, an automated procedure is implemented in addition to the manual one proposed by [4]. For the automated procedure, I am using the peak picking function “pickpeaks” developed by [5] and available in [6], which was much more efficient than the Matlab function "findpeaks" for this purpose. I am, therefore, indebted to [4-6] for their previous works. The modal damping ratios are determined for each mode by using [7]. The acceleration data comes from a time-domain simulation of a clamped-free beam response to white noise excitation. The target modal properties from the beam come from [8].
## Content
The submission contains:
- The function AFDD
- A Matlab livescript file Documentation.mlx
- Acceleration data beamData.m (4 Mb)
- The function pickpeaks.m [6]
Any comment, suggestion and question is welcome.
## References
[1] Cheynet, E., Jakobsen, J. B., & Snæbjörnsson, J. (2017). Damping estimation of large wind-sensitive structures. Procedia engineering, 199, 2047-2053.
[2] Brincker, R.; Zhang, L.; Andersen, P. (2001). "Modal identification of output-only systems using frequency domain decomposition". Smart Materials and Structures 10 (3): 441. doi:10.1088/0964-1726/10/3/303.
[3] Brincker, R., Zhang, L., & Andersen, P. (2000, February). Modal identification from ambient responses using frequency domain decomposition. In Proc. of the 18*‘International Modal Analysis Conference(IMAC), San Antonio, Texas.
[4] https://se.mathworks.com/matlabcentral/fileexchange/50988-frequency-domain-decomposition--fdd-
[5] Antoine Liutkus. Scale-Space Peak Picking. [Research Report] Inria Nancy - Grand Est (Villers-lès-Nancy, France). 2015. .
[6] https://se.mathworks.com/matlabcentral/fileexchange/42927-pickpeaks-v-select-display-
[7] https://se.mathworks.com/matlabcentral/fileexchange/55557-modal-parameters-identification-from-ambient-vibrations--sdof-
[8] https://se.mathworks.com/matlabcentral/fileexchange/52075-eigen-value-calculation-of-a-continuous-beam--transverse-vibrations-
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利用防干扰系数测量环境振动时的模态参数识别Matlab代码.rar
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1.版本:matlab2014/2019a/2024a 2.附赠案例数据可直接运行matlab程序。 3.代码特点:参数化编程、参数可方便更改、代码编程思路清晰、注释明细。 4.适用对象:计算机,电子信息工程、数学等专业的大学生课程设计、期末大作业和毕业设计。 替换数据可以直接使用,注释清楚,适合新手
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利用防干扰系数测量环境振动时的模态参数识别Matlab代码.rar (5个子文件)
利用防干扰系数测量环境振动时的模态参数识别Matlab代码
beamData.mat 3.86MB
AFDD.m 14KB
Documentation.mlx 7KB
README.md 3KB
pickpeaks.m 7KB
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