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A method for the direct identification of vibration parameters from the free response

S. R. Ibrahim, +1 more
- Vol. 47, Iss: 4, pp 183-198
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The article was published on 1977-09-01 and is currently open access. It has received 484 citations till now. The article focuses on the topics: Thesaurus (information retrieval) & Vibration fatigue.

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Modified ERA method for operational modal analysis in the presence of harmonic excitations

Prasenjit Mohanty, +1 more
- 01 Jan 2006 - 
TL;DR: In this paper, a modified ERA method is proposed, which can be applied as an identification procedure to include the effect of purely harmonic vibrations, assuming the harmonic frequencies are known a priori.
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Progressive finite element model calibration of a long-span suspension bridge based on ambient vibration and static measurements

Hao Wang, +3 more
- 01 Sep 2010 - 
TL;DR: In this article, a two-phase model updating approach is presented to develop a baseline model for the Runyang Suspension Bridge (RSB), which is the longest bridge in China with a main span of 1490 m.
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Time-varying system identification using a newly improved HHT algorithm

Chunxiao Bao, +3 more
- 01 Dec 2009 - 
TL;DR: In this paper, an improved Hilbert-Huang transform (HHT) algorithm is presented for identification of time-varying systems and analysis of nonlinear structural response with closely spaced modes.

From input-output to output-only modal identification of civil engineering structures

Álvaro Cunha, +1 more
TL;DR: In this paper, a brief characterization of the evolution of experimental modal analysis in the Civil Engineering field, from Input-Output to Output-Only Modal Identification Techniques, taking particularly into account the experience of the authors at the Laboratory of Vibrations and Monitoring (VIBEST, www.fe.up.pt/vibest) of FEUP is presented.
Journal ArticleDOI

System Identification of Alfred Zampa Memorial Bridge Using Dynamic Field Test Data

Xianfei He, +4 more
- 01 Jan 2009 - 
TL;DR: In this paper, a benchmark study on modal identification of the AZMB is performed using three different state-of-the-art system identification algorithms based on ambient as well as forced vibration measurements.