Damage Identification Based on Dead Load Redistribution: Methodology
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VIEW THE REPLYPublication: Journal of Structural Engineering
Volume 132, Issue 8
Abstract
A new method for damage identification in large, massive civil structures is presented, which is based on the idea that dead load is redistributed when damage occurs in the structure. The method uses static strain measurements due to dead load only as input to the identification procedure. An analytical model of a fixed-fixed beam is developed in which the damage is represented by a section of reduced flexural rigidity. The damage state is determined by the location, length, and severity of the stiffness reduction. A forward analysis of the beam response is first presented to illustrate how the dead load is redistributed for different damage scenarios. The inverse problem is defined by a constrained optimization problem and is solved using a genetic algorithm. The proposed method correctly identified damage in the beam for a wide range of locations and damage severities. The identification procedure, in general, has a greater degree of success with increasing damage severity. Results show that damage is difficult to identify when it is close to the inflection point of the undamaged beam, where the dead load strain is zero. The effect of measurement noise on the ability to identify damage is investigated in the companion paper.
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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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© 2006 ASCE.
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Received: May 5, 2003
Accepted: Oct 10, 2005
Published online: Aug 1, 2006
Published in print: Aug 2006
Notes
Note. Associate Editor: Ahmet Emin Aktan
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