On the Output-Only Vibration-Based Damage Detection of Frame Structures

The present work aims at applying and comparing some methods for vibration-based damage detection of civil structures starting from ambient vibration data. The analyzed procedures are based on a dynamic identification of the modal parameters that is performed in output-only conditions; this is a typical situation that occurs when structural health monitoring strategies are applied to civil structures. The here investigated damage-sensitive features are the modal parameters, the modal flexibility matrix and the damage-induced deflection, due to unitary inspection loads, of the identified structure; possible variations in these parameters can be adopted in order to detect, localize and quantify the damage. A damaged condition is analytically simulated through a stiffness reduction in the elements of a RC shear-type plane frame. The output-only modal identification is performed through the Eigensystem Realization Algorithm, combined with the Random Decrement technique, on the simulated responses due to a white noise ground motion of both the undamaged and the damaged structures. At the end, the effectiveness of the different identified damage features is evaluated and the accuracy related to the identified modifications, due to damage, is determined through a comparison with the initially assumed variations in the structural model.

[1]  Charles R. Farrar,et al.  Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .

[2]  Ki-Young Koo,et al.  Damage detection of shear buildings using deflections obtained by modal flexibility , 2010 .

[3]  Charles R. Farrar,et al.  Structural Health Monitoring: A Machine Learning Perspective , 2012 .

[4]  Jer-Nan Juang,et al.  An eigensystem realization algorithm for modal parameter identification and model reduction. [control systems design for large space structures] , 1985 .

[5]  S. R. Ibrahim,et al.  Random Decrement: Identification of Structures Subjected to Ambient Excitation , 1998 .

[6]  Carlos E. Ventura,et al.  Introduction to Operational Modal Analysis: Brincker/Introduction to Operational Modal Analysis , 2015 .

[7]  H. A. Cole,et al.  On-line failure detection and damping measurement of aerospace structures by random decrement signatures , 1973 .

[8]  Rune Brincker,et al.  Application of the Random Decrement Technique in Operational Modal Analysis , 2005 .

[9]  Minh Q. Phan,et al.  Identification and Control of Mechanical Systems: Frontmatter , 2001 .

[10]  A. K. Pandey,et al.  Damage Detection in Structures Using Changes in Flexibility , 1994 .

[11]  J. Juang.  Applied system identification , 1994 .

[12]  Charles R. Farrar,et al.  The fundamental axioms of structural health monitoring , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[13]  Tommy H.T. Chan,et al.  Review of vibration-based damage detection and condition assessment of bridge structures using structural health monitoring , 2009 .

[14]  Gregory W. Reich,et al.  Structural system identification: from reality to models , 2003 .

[15]  Carlos E. Ventura,et al.  Introduction to Operational Modal Analysis: Brincker/Introduction to Operational Modal Analysis , 2015 .

[16]  Minh Q. Phan,et al.  Identification and control of mechanical systems , 2001 .