Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Farrar, Jerry Czarnecki, H. Sohn, F. Hemez (2002)
A review of structural health monitoring literature 1996-2001
P. Overschee, B. Moor (1996)
Subspace identification for linear systems
D. Young (1950)
Vibration of rectangular plates by the Ritz methodJournal of Applied Mechanics-transactions of The Asme, 17
P. Castellini, G. Revel, E. Tomasini (1998)
Laser Doppler vibrometry : A review of advances and applicationsThe Shock and Vibration Digest, 30
G. James, T. Carne, J. Lauffer (1993)
The Natural Excitation Technique (NExT) for modal parameter extraction from operating wind turbines, 93
A. Bougard, B. Ellis (1998)
Laser measurement of building vibration and displacement, 3411
R. Brincker, Lingmi Zhang, P. Andersen (2000)
Institute of Physics Publishing Smart Materials and Structures Modal Identification of Output-only Systems Using Frequency Domain Decomposition
Brincker Brincker, Zhang Zhang, Andersen Andersen (2001)
Modal identification from output‐only system using frequency domain decompositionSmart Materials and Structures, 10
J. Vandiver, A. Dunwoody, R. Campbell, M. Cook (1982)
A Mathematical Basis for the Random Decrement Vibration Signature Analysis TechniqueJournal of Mechanical Design, 104
S. Ibrahim, E. Mikulcik (1977)
A method for the direct identification of vibration parameters from the free response, 47
D. Ewins (2000)
Modal Testing: Theory, Practice, And Application
E. Dowell (1978)
On Some General Properties of Combined Dynamical SystemsJournal of Applied Mechanics, 46
Juang Juang, Pappa Pappa (1985)
An eigensystem realization algorithm for modal parameter identification and model reductionJournal of Guidance, 8
D. Siringoringo, Y. Fujino (2006)
Experimental study of laser Doppler vibrometer and ambient vibration for vibration-based damage detectionEngineering Structures, 28
K. Waldron, A. Ghoshal, M. Schulz, M. Sundaresan, F. Ferguson, P. Pai, J. Chung (2002)
Damage detection using finite element and laser operational deflection shapesFinite Elements in Analysis and Design, 38
Juang Juang, Pappa Pappa (1986)
Effects of noise on modal parameter identificationJournal of Guidance, 9
D. Siringoringo, Y. Fujino (2008)
System identification of suspension bridge from ambient vibration responseEngineering Structures, 30
Yang Yang, Lei Lei, Lin Lin (2004)
Huang N., Hilbert‐Huang based approach for structural damage detectionJournal of Engineering Mechanics, 130
K. Kaito, M. Abé, Y. Fujino (2005)
Development of non-contact scanning vibration measurement system for real-scale structuresStructure and Infrastructure Engineering, 1
A. Stanbridge, M. Martarelli, D. Ewins (2000)
Measuring area vibration mode shapes with a continuous-scan LDV, 4072
M. Abé, Y. Fujino, K. Kaito (2001)
Damage detection of civil concrete structures by Laser Doppler Vibrometry, 1
Xiaomo Jiang, H. Adeli (2005)
Dynamic Wavelet Neural Network for Nonlinear Identification of Highrise BuildingsComputer‐Aided Civil and Infrastructure Engineering, 20
H. Adeli, Xiaomo Jiang (2006)
Dynamic Fuzzy Wavelet Neural Network Model for Structural System IdentificationJournal of Structural Engineering-asce, 132
P. Castellini, G. Revel, L. Scalise (2004)
Measurement of vibrational modal parameters using laser pulse excitation techniquesMeasurement, 35
J. Juang, R. Pappa (1985)
An eigensystem realization algorithm for modal parameter identification and model reduction. [control systems design for large space structures]
(2007)
Advanced vibration measurement system using laser Doppler vibrometers for structural monitoring
Jann Yang, Y. Lei, Shu-Hui Lin, N. Huang (2004)
Hilbert-Huang Based Approach for Structural Damage DetectionJournal of Engineering Mechanics-asce, 130
J. Bendat, A. Piersol (1980)
Engineering Applications of Correlation and Spectral Analysis
H. Cole (1973)
On-line failure detection and damping measurement of aerospace structures by random decrement signatures
(2007)
Advanced vibration measurement system using laser Doppler vibrometers for structural monitoring, in Proceeding of Experimental Vibration Analysis for Civil Engineering Structures-2007
K. Kaito, M. Abé, Y. Fujino (2001)
An experimental modal analysis for RC bridge decks based on non-contact vibration measurement, 2
M. Martarelli, G. Revel, C. Santolini (2001)
AUTOMATED MODAL ANALYSIS BY SCANNING LASER VIBROMETRY: PROBLEMS AND UNCERTAINTIES ASSOCIATED WITH THE SCANNING SYSTEM CALIBRATIONMechanical Systems and Signal Processing, 15
J. Juang, R. Pappa (1986)
Effects of Noise on Modal Parameters Identified by the Eigensystem Realization AlgorithmJournal of Guidance Control and Dynamics, 9
P. Overschee, B. Moor (2011)
Subspace Identification for Linear Systems: Theory ― Implementation ― Applications
B. Peeters, G. Roeck (2001)
Stochastic System Identification for Operational Modal Analysis: A ReviewJournal of Dynamic Systems Measurement and Control-transactions of The Asme, 123
A. Stanbridge, A. Khan, D. Ewins (1998)
Modal testing using impact excitation and a scanning LDV, 3411
Abstract: A system that uses ambient vibration and two laser Doppler vibrometer (LDV) is developed for noncontact operational modal analysis of structural members. The system employs natural excitation technique (NExT) to generate the cross‐correlation functions from laser signals, and the eigensystem realization algorithm (ERA) to identify modal parameters of structural members. To facilitate simultaneous modal identification, time‐synchronization technique and construction of cross‐correlation functions from ambient response of laser signals are proposed. Performance of the proposed system is verified experimentally by evaluating the consistency and accuracy of identification results in different measurement conditions. The work presented here is an extension of the previous study, where a modal‐based damage detection method using LDV was formulated. In the present study, application of LDV for structural parameters identification of a combined dynamical system is proposed. A model that represents the connection properties in terms of additional stiffness and damping is developed, and its importance for structural damage detection is discussed. The study shows that the presence of simulated damage in a steel connection can be detected by tracking the modal phase difference and by quantifying the additional stiffness and damping.
Computer-Aided Civil and Infrastructure Engineering – Wiley
Published: May 1, 2009
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.