Estimation of Structural Parameters in Time Domain Using One Dimensional Piezo Zirconium Titanium Patch Model
This article presents a method of using the one dimensional piezo-electric patch on beam model for structural identification. A hybrid element constituted of one dimensional beam element and a PZT sensor is used with reduced material properties. This model is convenient and simple for identification of beams. Accuracy of this element is first verified against a corresponding 3D finite element model (FEM). The structural identification is carried out as an inverse problem whereby parameters are identified by minimizing the deviation between the predicted and measured voltage response of the patch, when subjected to excitation. A non-classical optimization algorithm Particle Swarm Optimization is used to minimize this objective function. The signals are polluted with 5% Gaussian noise to simulate experimental noise. The proposed method is applied on beam structure and identified parameters are stiffness and damping. The model is also validated experimentally.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339820Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 706
 Joo Sung Kang and Seung-Keun Park and Soobong Shin and Hae Sung Lee, Structural system identification in time domain using measured acceleration,
 Doebling, S. W., C. R. Farrar and M. B. Prime., A summary review of vibration-based damage identification methods.Shock and vibration digest., 30(2) (1998) pp. 91–105.
 Cibu K. Varghese and K. Shankar, Crack identification using combined power flow and acceleration matching technique, Inverse Problems in Science and Engineering., 20(8) (2012) pp. 1239–1257.
 Peter Sadilek and Robert Zemcik, Frequency Response Analysis of Hybrid Piezoelectric Cantilever Beam, Engineering Mechanics., 17(3) (2010) pp. 73–82.
 I. M. Bendary, M. Adnan Ellshafei* and A. M. Riad, Finite Element Model of Smart Beams with Distributed Piezoelectric Actuators, Journal of Intelligent Material Systems and Structures., 21 (2010) pp. 747–758.
 Kennedy James and Russell Eberhart, Particle swarm optimization, Neural Networks, 1995. Proceedings., IEEE International Conference onh., Volume 4 (1995) pp. 1942–1948.
 S. Sandesh and K. Shankar, Time Domain Identification of StructuralL Parameres And Input Time History Using a SubStructural approach, International Journal of Structural Stability and Dynamics., 9(2) (2009) pp. 243–265.
 R. E. Perez and K. Behdinan, Particle swarm approach for structural design optimization, Computers & Structures , Volume 85 (2007) pp. 1579–1588.
 Santhosh Kapuria and Peter Hagedotn, Unified Efficient Layerwise Theory For Smart Beams With Segmented Extension/shear Mode Piezoelectric Actuators and Sensors