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Materials Science and Nanotechnology | Volume: 03
WORLD CONGRESS ON SMART MATERIALS AND STRUCTURES
&
3
rd
International Conference on
POLYMER CHEMISTRY AND MATERIALS ENGINEERING
November 21-22, 2019 | Singapore
Joint event on
E
lectromechanical impedance (EMI)-based Structural
Health Monitoring (SHM) methods have been rapidly
developed in recent years for condition monitoring of civil
structures. However, most of those methods are based
on using various damage indices to monitor structural
condition changes and locate structural damage. Using EMI
based SHM techniques to quantify structural damage is still
a challenging task, since a very fine finite element model is
required and a large number of parameters are required to
be identified. This will make the damage identification as a
significantly under determined inverse problem. This talk
will present a new damage index based on time frequency
analysis of impedance responses to increase the sensitivity
to detect minor damage, and will propose a novel approach
based on model updating with impedance resonance
frequency shifts and sparse regularization technique
to provide damage quantification results for structural
condition monitoring. The coupled finite element model
of piezoelectric transducer and host structure is developed
and calibrated for damage identification. Numerical and
experimental investigations are conducted on beam and
plate-like structures to demonstrate the accuracy and
performance of the proposed approach for structural
damage localization and quantification.
Biography
Jun Li received his PhD degree from Hong Kong Polytechnic University,
China, in 2012. He is currently a senior lecturer in School of Civil and
Mechanical Engineering at Curtin University, Australia. He has published
over 115 technical papers including more than 65 journal papers, with
a H-index of 16. He is currently an Associate Editor of International
Journal of Lifecycle Performance Engineering, and has been serving as
an editorial board member of several reputed international journals. He
was a recipient of Australian Research Council Discovery, Early Career
Researcher Award in 2014, and was one of the finalists of the prestigious
Western Australia Premier’s Science Awards, Early Career Scientist of the
Year for 2016 and 2017.
e:
junli@curtin.edu.auJun Li
Curtin University, Australia
Structural damage localization and quantification using
electromechanical impedance and sparse regularization
Mater S
c
i Nanotechnol, Volume: 03