A structural damage identification method based on sensitivity functions and optimization algorithms is discussed in this paper. The suggested sensitivity analysis technique can be effectively used for the damage identification process because it requires only measured frequency response functions to calculate the sensitivity of system responses to each component parameter. The optimization algorithm finds the best combination of changes in design variables to minimize the object function that is defined as the difference between the measured and calculated FRFs for the damaged structure. Various parameters and factors in the optimization process and structural dynamics are studied in this work to enhance the efficiency and robustness of the damage identification process. This study shows that the proposed technique can improve the accuracy of damage identification.
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ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 17–20, 2014
Buffalo, New York, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-4641-4
PROCEEDINGS PAPER
Robustness and Efficiency of an Optimization-Based Damage Detection Technique
Chulho Yang,
Chulho Yang
Oklahoma State University, Stillwater, OK
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Douglas E. Adams
Douglas E. Adams
Vanderbilt University, Nashville, TN
Search for other works by this author on:
Chulho Yang
Oklahoma State University, Stillwater, OK
Douglas E. Adams
Vanderbilt University, Nashville, TN
Paper No:
DETC2014-35602, V008T11A007; 6 pages
Published Online:
January 13, 2015
Citation
Yang, C, & Adams, DE. "Robustness and Efficiency of an Optimization-Based Damage Detection Technique." Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 8: 26th Conference on Mechanical Vibration and Noise. Buffalo, New York, USA. August 17–20, 2014. V008T11A007. ASME. https://doi.org/10.1115/DETC2014-35602
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