DOAJ Open Access 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 +1 lainnya

Abstrak

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.

Penulis (6)

J

Jiayue Shen

K

Korkut Bekiroglu

A

Ali Tekeoglu

I

Ilker Boz

W

Weiru Chen

M

Minghao Geng

Format Sitasi

Shen, J., Bekiroglu, K., Tekeoglu, A., Boz, I., Chen, W., Geng, M. (2022). Numerical Study of a PVDF-Based Strain Sensor for Damage Detection of an Asphalt Concrete Pavement Subject to Dynamic Loads. https://doi.org/10.3390/ecsa-9-13318

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.3390/ecsa-9-13318
Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.3390/ecsa-9-13318
Akses
Open Access ✓