-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
1 changed file
with
14 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,2 +1,16 @@ | ||
# earthquakeSim | ||
Ground acceleration records are simulated using the non-stationnary Kanai–Tajimi model | ||
|
||
|
||
Non-stationary ground acceleration records are simulated based on the example proposed in the paper of Guo et al. [3] that I have found well explained. However, the method itself is older, see e.g. [1, 2]. The present submission contains, in addition, a Matlab function to fit the non-stationary Kanai–Tajimi model to ground acceleration records. | ||
|
||
|
||
The optimization toolbox is required for the fitting procedure (lsqcurvefit). However, other functions may alternatively be used. The signal processing toolbox is used here through the function filtfilt.Any comment, question or suggestions to improve the code is warmly welcomed. | ||
|
||
References | ||
|
||
[1] Lin, Y. K., & Yong, Y. (1987). Evolutionary Kanai-Tajimi earthquake models. Journal of engineering mechanics, 113(8), 1119-1137. | ||
|
||
[2] Rofooei, F. R., Mobarake, A., & Ahmadi, G. (2001). Generation of artificial earthquake records with a nonstationary Kanai–Tajimi model. Engineering Structures, 23(7), 827-837. | ||
|
||
[3] Guo, Y., & Kareem, A. (2016). System identification through nonstationary data using Time-Frequency Blind Source Separation. Journal of Sound and Vibration, 371, 110-131. |