Engineering Proceedings (Nov 2022)

Numerical Study of a PVDF-Based Strain Sensor for Damage Detection of an Asphalt Concrete Pavement Subject to Dynamic Loads

  • Jiayue Shen,
  • Korkut Bekiroglu,
  • Ali Tekeoglu,
  • Ilker Boz,
  • Weiru Chen,
  • Minghao Geng

DOI
https://doi.org/10.3390/ecsa-9-13318
Journal volume & issue
Vol. 27, no. 1
p. 31

Abstract

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This paper studies the performance of Polyvinylidene fluoride (PVDF)–based strain sensor subject to dynamic loads with different load-moving velocities and the strain sensor’s performance for bottom-up crack detection of an asphalt pavement subject to dynamic loads. The core of the strain sensor is a metalized PVDF sensing film packaged with three protection layers. The encapsulated strain sensor adopts an H-shape to optimize the overall performance. Two numerical models are built in this paper and validate that the voltage output of the PVDF-based strain sensor can well capture the peak lateral strain with the propagation of the bottom-up cracks or the variation of a load moving velocity. Additionally, the sensor has better performance when it is in its lateral alignment position.

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