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> Saadat
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Dr.
Soheil Saadat
Research
Associate
North
Carolina State University
Department of Mechanical and Aerospace Engineering
3197 Broughton Hall
Box 7910
Raleigh, N.C. 27695
Fax: 919.515.7968
Email: ssaadat@ncsu.edu
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Education
Ph.D.,
Mechanical Engineering, North Carolina State University, N.C., 2003
M.S., Mechanical Engineering, Worcester Polytechnic Institute, M.A.,
2000
M.S., Engineering Management, University of Technology Sydney, Australia,
1997
B.S., Mechanical Engineering, Shiraz University, Iran, 1992
Research Interests
Structural
Health Monitoring and Damage Detection, System Identification, Artificial
Neural Networks, and Smart Structures
Selected Publications
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R. J. Alonso, M. N. Noori, S. Saadat, A. Masuda, and Z. Hou “Detection Accuracy of Orthogonal Wavelet Decomposition for Structural Health Monitoring and Damage Detection Applications,” Journal of Earthquake Engineering and Engineering Vibration, (In Press)
- S. Saadat , G. D. Buckner, M. N. Noori, and T. Furukawa “Network Optimization for Intelligent Parameter Varying System Identification,” (Submitted to the AIAA Journal of Aerospace Computing, Information, and Communication for possible publication on May 19, 2004)
- S. Saadat , G. D. Buckner, T. Furukawa, and M. N. Noori “An Intelligent Parameter Varying (IPV) Approach for Non-linear System Identification of Base Excited Structures,” International Journal of Nonlinear Mechanics, Vol. 39, Issue 6, August 2004, 993-1004
- S. Saadat, M. N. Noori, G. D. Buckner, and T. Furukawa “Health Monitoring and Damage Detection in Base-Excited Structures using the Intelligent Parameter Varying (IPV) Technique,” In Proceedings of the 9 th International Conference on Applications of Statistics and Probability in Civil Engineering ICASP9, University of California at Berkeley, San Francisco, California, July 6-9 2003, Vol. I, 467-472, Editors: A. D. Kiureghian, S. Madanat, and J. Pestana
- S. Saadat , M. N. Noori, G. D. Buckner, T. Furukawa, and Y. Suzuki “Structural Health Monitoring and Damage Detection using an Intelligent Parameter Varying (IPV) Technique,” International Journal of Nonlinear Mechanics, (In Press, available online from International Journal of Nonlinear Mechanics)
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