Identification of damage using natural frequencies and Markov parameters
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering
Reference24 articles.
1. Optimization procedure to correct stiffness and flexibility matrices using vibration tests;Baruch;AIAA Journal,1978
2. Probabilistic system identification and health monitoring of structures.;Beck,1992
3. The location of defects in structures from measurements of natural frequencies;Cawley;Journal of Strain Analysis,1979
4. Analytical model improvement using modal test results;Chen;AIAA Journal,1980
5. Statistical identification of structures;Collins;AIAA Journal,1974
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