Damping ratio estimation from ambient vibrations (SDOF)

버전 1.3 (181 KB) 작성자: E. Cheynet
The modal damping ratio of a Single-Degree-of-Freedom (SDOF) System is estimated using ambient vibrations data

다운로드 수: 2.2K

업데이트 날짜: 2020/5/14

GitHub에서 호스트

GitHub에서 라이선스 보기

Damping ratio estimation from ambient vibrations (SDOF)

View Damping ratio estimation from ambient vibrations (SDOF) on File Exchange

Summary

If the free-decay response (FDR) of a Single Degree-of-Freedom (SDOF) system is not directly available, it is possible to use ambient vibrations data yo estimate the modal damping ratio. Here, the Random Decrement Technique (RDT) [1], as well as the Natural Excitation Technique (NExT) [2], are used. First, the response of a SDOF to white noise is simulated in the time domain using [3]. Then the IRF is computed using the RDT or NExT. Finally, and an exponential decay is fitted to the envelop of the IRF to obtain the modal damping ratio.

Content

The present submission contains:

  • a function RDT.,m that implements to Random Decrement Technique (RDT)
  • a function NExT that implements the Natural Excitation Technique (NExT)
  • a function expoFit that determine the modal damping ratio by fitting an exponential decay to the envelope of the IRF.
  • a function CentDiff used to simulate the response to a white noise load of a SDOF in the time domain.
  • An example file Example.m

Any question, comment or suggestion is welcomed.

References

[1] Ibrahim, S. R. (1977). Random decrement technique for modal identification of structures. Journal of Spacecraft and Rockets, 14(11), 696-700.

[2] James III, O. H., & Came, T. G. (1995). The natural excitation technique (next) for modal parameter extraction from operating structures.

[3] http://www.mathworks.com/matlabcentral/fileexchange/53854-harmonic-excitation-of-a-sdof

인용 양식

Cheynet, E. Damping Ratio Estimation from Ambient Vibrations (SDOF). Zenodo, 2020, doi:10.5281/ZENODO.3827107.

양식 더 보기
MATLAB 릴리스 호환 정보
개발 환경: R2019b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.