Journal article
Modelling of the electromechanical impedance technique for prediction of elastic modulus of structural adhesives
Structural Health Monitoring, Vol.20(5), pp.2245-2260
09/2021
Metrics
42 Record Views
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Abstract
In order to strengthen and repair existing concrete structural elements, fibre-reinforced polymer composites are often externally bonded using structural adhesives. It is thus desirable to monitor the in situ performance of the sandwiched adhesive layer in such fibre-reinforced polymer–strengthened systems via its stiffness and strength gain throughout the curing process. The electromechanical impedance technique, which relies upon the utilisation of piezoelectric sensors, offers this capability. Although the technique has been verified experimentally in the laboratory, no known electromechanical impedance–based modelling study has been reported. This study, therefore, proposes the first electromechanical impedance–based finite element and analytical models to monitor the curing of structural adhesives. The dynamic elastic modulus of structural adhesives during curing can be determined from the developed models via a model updating process. Semi-empirical relationships were then developed to determine the tensile strength of structural adhesives from the resonance frequency obtained from the electromechanical impedance technique. This was made possible by correlation between static tensile tests on structural adhesives and the dynamic elastic modulus. These electromechanical impedance–based models were found to perform equally well when compared to the previously developed wave propagation–based models. This study shows the robustness of the electromechanical impedance technique for non-destructively predicting the dynamic elastic modulus and tensile strength of adhesives throughout the curing process.
Details
- Title
- Modelling of the electromechanical impedance technique for prediction of elastic modulus of structural adhesives
- Creators
- Zi Sheng Tang - Southern Cross UniversityYee Yan Lim (Corresponding Author) - Southern Cross UniversityScott T Smith - University of AdelaideRicardo Vasquez Padilla - Southern Cross University
- Publication Details
- Structural Health Monitoring, Vol.20(5), pp.2245-2260
- Publisher
- SAGE Publishers
- Identifiers
- 991012883199802368
- Copyright
- © The Author(s) 2020.
- Academic Unit
- Engineering; Faculty of Science and Engineering; School of Environment, Science and Engineering
- Language
- English
- Resource Type
- Journal article