SIGNAL PROCESSING OF DYNAMIC TESTS RESULTS USING SUBSPACE IDENTIFICATION BASED ON ORTHOGONAL DECOMPOSITION TECHNIQUE (SI-ORT)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TARINEJAD REZA; POURGHOLI MEHRAN; YAGHMAEI SABEGH SAMAN

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Modares Mechanical Engineering Year:2016 | Volume:15 | Issue:10 Page(s): 104-116

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

634

Download:

Cites:

Information Journal Paper

Title

SIGNAL PROCESSING OF DYNAMIC TESTS RESULTS USING SUBSPACE IDENTIFICATION BASED ON ORTHOGONAL DECOMPOSITION TECHNIQUE (SI-ORT)

Author(s)

TARINEJAD REZA | POURGHOLI MEHRAN | YAGHMAEI SABEGH SAMAN | Issue Writer Certificate

Keywords

ORTHOGONAL DECOMPOSITIONQ2

STATE SPACEQ2

SUBSPACEQ2

HANKEL MATRIXQ2

Abstract

In the seismic vibrations of large and widely used structures such as dams and bridges, as well as the forced vibration tests with artificial vibrators, the dominant excitation forces are generally measurable. Not applying the inputs in the system identification is one of the main reasons for error generation in the operational modal analysis (OMA), so the non-structural dynamic characteristics due to the input excitations can be reduced by applying these inputs in the dynamic model of the system. In this paper, a special modal analysis is presented in the SUBSPACE methods field that filters the excitation effect of the measured input forces from the test data using ORTHOGONAL DECOMPOSITION technique and identifies the stochastic system with an optimal SUBSPACE method based on Canonical Correlation Analysis. To evaluate the proposed method, the seismic data from the Pacoima dam and forced vibration test results of the Alamosa Canyon Bridge have been used. Non-structural and noisy poles removal, and increased accuracy of the derived modal properties, specially damping ratios, can be mentioned as the important results of the study. At Pacoima dam, the SSI-Data method identifies four non-structural modes, while the proposed method derived the first two modes just like the previous results without any noise. In addition, the damping ratios of the Alamosa Bridge are derived according to the Hammer test, which were not obtained in the previous investigations. At Pacoima Dam the related damping ratios have significant association with force vibration tests.

Cites

No record.

References

No record.

Cite

APA: Copy

TARINEJAD, REZA, POURGHOLI, MEHRAN, & YAGHMAEI SABEGH, SAMAN. (2016). SIGNAL PROCESSING OF DYNAMIC TESTS RESULTS USING SUBSPACE IDENTIFICATION BASED ON ORTHOGONAL DECOMPOSITION TECHNIQUE (SI-ORT). MODARES MECHANICAL ENGINEERING, 15(10), 104-116. SID. https://sid.ir/paper/179617/en

Vancouver: Copy

TARINEJAD REZA, POURGHOLI MEHRAN, YAGHMAEI SABEGH SAMAN. SIGNAL PROCESSING OF DYNAMIC TESTS RESULTS USING SUBSPACE IDENTIFICATION BASED ON ORTHOGONAL DECOMPOSITION TECHNIQUE (SI-ORT). MODARES MECHANICAL ENGINEERING[Internet]. 2016;15(10):104-116. Available from: https://sid.ir/paper/179617/en

IEEE: Copy

REZA TARINEJAD, MEHRAN POURGHOLI, and SAMAN YAGHMAEI SABEGH, “SIGNAL PROCESSING OF DYNAMIC TESTS RESULTS USING SUBSPACE IDENTIFICATION BASED ON ORTHOGONAL DECOMPOSITION TECHNIQUE (SI-ORT),” MODARES MECHANICAL ENGINEERING, vol. 15, no. 10, pp. 104–116, 2016, [Online]. Available: https://sid.ir/paper/179617/en

Related Journal Papers