Experimental Study of Damage Detection by Data-Driven Subspace Identification and Finite-Element Model Updating
Publication: Journal of Structural Engineering
Volume 135, Issue 12
Abstract
The need to identify the physical properties of a structure given its force-response (input-output) relationship is driven primarily by the need to validate the approximate solution models, such as finite-element models. This paper proposes a method, which combines the structural system identification and model updating techniques, for the damage detection of a steel frame structure and a RC frame. The damage detection procedure consists of two steps: (1) identifying the system dynamic characteristics using the subspace identification (SI) technique from input/output measurements and (2) developing a damage assessment method for structural members (including joints) based on a progressive finite-element model updating and a large-scale optimization using a nonlinear least-square technique. The proposed method was verified through a shaking table experimental study using: (1) a 1/4-scale six-story steel frame structure by loosening the connection bolts for damage simulations and (2) a two-story RC frame subject to different levels of ground excitations back to back. As demonstrated by experimental results, the proposed damage detection method, based on the combination of SI technique and the model updating approach, is very effective for the damage assessment of frame structures. The method not only can detect the damage locations but also can quantify the damage severities.
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Acknowledgments
The writers thank the support from Taiwan National Science Council under Contract No. UNSPECIFIEDNSC 96-2221-E-002-121-MY3 and the National Taiwan University under the excellent research program of Project No. 95R0066-BE03-05.UNSPECIFIED
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 135 • Issue 12 • December 2009
Pages: 1533 - 1544
Copyright
© 2009 ASCE.
History
Received: Jun 17, 2008
Accepted: May 10, 2009
Published online: Jun 10, 2009
Published in print: Dec 2009
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