Damage Identification Based on Dead Load Redistribution: Effect of Measurement Error
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Volume 132, Issue 8
Abstract
The effect of measurement error on the results of a new method for damage identification in large, massive civil structures is presented. The damage identification procedure is based on the redistribution of dead load in the structure that takes place when damage occurs. Damage is modeled in the flexural member by a section of reduced flexural rigidity. Static strain measurements are used as input to the procedure. The damage identification parameters are determined using a genetic algorithm. The effect of measurement error is investigated using Monte Carlo simulation. The measurement error is modeled as a Guassian, zero mean random variable. When the model element length is equal to the damage zone length, the results are in good agreement. The correct location and severity is determined even for significant levels of measurement error. The error-to-strain ratio is a convenient parameter for establishing when the error is too significant: results show that for error-to-strain ratios below about 40%, the procedure is able to determine the approximate location and severity of damage accurately. Damage is correctly identified, in an average sense, for the realistic case of when the model element length is not equal to the actual damage zone length. False-positive tests are conducted: the procedure is not prone to incorrectly identify damage when it does not exist, even in the presence of significant measurement error.
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Acknowledgments
This material is based on work supported by the National Science Foundation under Grant No. NSFCMS-9874774. The writers would like to thank the NSF for their generous support. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the writer(s) and do not necessarily reflect the views of the National Science Foundation. The writers would also like to acknowledge the insightful comments and feedback provided by the reviewers.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 132 • Issue 8 • August 2006
Pages: 1264 - 1273
Copyright
© 2006 ASCE.
History
Received: May 5, 2003
Accepted: Feb 24, 2006
Published online: Aug 1, 2006
Published in print: Aug 2006
Notes
Note. Associate Editor: Ahmet Emin Aktan
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