Cited by 1Ultrasonics and Acoustic Wave PropagationStructural Health Monitoring TechniquesSmart Materials for Construction

Distinguishing the Degradation of the Interdigital Piezoelectric Fibre Transducers From Structural Damage in Multifunctional Composites

Mehdizadeh, Mohammad, John, Sabu, Wang, Chun H., Ghorbani, Kamran, Rowe, Wayne S. T.·2012·Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring

Abstract

The next-generation design of structural components involves combining multiple functions. The goal of such Multi-functional structures (MFS) is to incorporate various tasks and functions such as structural, electrical and thermal features within a structural housing. The performance and behaviour characteristics of the multi-functional structures can be affected by degradation of any of the sub-components. This can have consequences on the safety, cost, and operational capability. Therefore, the timely and accurate detection, characterization and monitoring of the degradation in these sub-components are major concerns in the operational environment. This calls for Structural Health Monitoring (SHM) as a possible method to improve the safety and reliability of structures and thereby reduce their operational cost. As the application of SHM systems to monitor the status of the MFS increase, it will be increasingly important to determine the durability, reliability, and reparability of the components of SHM system such as sensors. The sensors themselves must be reliable enough so that they do not require replacement at intervals less than the economic lifetime of the structures and components they are monitoring. This is especially important when the deleterious structural changes in the sensor occurs without any discernible change in the structure being monitored In the present work, an assessment is carried out to quantify the degradation in the electric and electromechanical characteristics of polymer composite PZT sensors, under fatigue loading. Changes in the electrical properties of these sensors such as capacitance and inductance have been measured. The strain measurements of the sensor have also been compared to the theoretically calculated strain. The results show that the delineation of structural damage from sensor degradation is possible by monitoring the changes in the key electrical properties of the sensor components such as electrodes and PZT fibers as well as the comparison of experimentally measured and theoretically calculated strain values.

Integrity signals

Registry

Crossref · 10.1115/smasis2012-8177

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Distinguishing between sensor degradation and system degradation is critical, especially for applications such as SHM, yet advanced techniques to differentiate between these two phenomena are still lacking.

    “Moreover, distinguishing between sensor degradation and system degradation is critical, especially for applications such as SHM, yet advanced techniques to differentiate between these two phenomena are still lacking (Mehdizadeh et al., 2012).”
  • Performance under a wide range of operating conditions has received insufficient attention.

    “Furthermore, performance under a wide range of operating conditions has also received insufficient attention (Mehdizadeh et al., 2012).”

Cited by

Sorted by citations

Authors
Mehdizadeh, M., John, S., Wang, C. H., Ghorbani, K., & Rowe, W. S. T.
Affiliations
  • RMIT University (AU)
  • RMIT University, Bundoora, VIC, Australia
Venue
Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring
Published
2012-09-19
Pages
869-877
OpenAlex
W2086605411
Cited by
0
References
0
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Locations
  • ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS) (publishedVersion)
  • RMIT Research Repository (RMIT University Library) (submittedVersion)
  • Figshare (submittedVersion)
Funders
DMTC
Topics
  • Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Environmental Science › Pollution › Smart Materials for Construction
Keywords
PZT sensors, sensor degradation, structural damage detection, multifunctional composites, structural health monitoring, fatigue loading, polymer matrix composites, strain measurement, electromechanical properties, sensor durability

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review