跳到主要导航 跳到搜索 跳到主要内容

2D strain field reconstruction of composite plates based on distributed fibre optic sensors

  • Yingwu Li*
  • , Zahra Sharif Khodaei
  • *此作品的通讯作者
  • Imperial College London

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this work, the strain reconstruction with interpolation methods was investigated based on measurements of distributed fibre optical sensors. The strain measurements under different sensor densities (5,10,15,⋯, 30mm) were adopted in this investigation. The measurements under 5mm distance were adopted as true strain distribution (high-fidelity data). The other measurements were interpolated to 5mm by barycentric Lagrange and cubic spline methods. These interpolated results were adopted as the low-fidelity data and to compare with the true strain distribution. The results show that the accuracy of strain reconstruction decreases with the increase of sensors distance. Specifically, the local patterns of strain distribution are lost after the reconstruction when the sensor distance of measurement data is much larger (≥6 times) than the sensor distance of reconstruction data. However, the main trends of the reconstructed strain distribution are consistent with the true strain distribution. In addition, the barycentric Lagrange interpolation shows better stability than the cubic spline interpolation, especially for measurements with large sensor distance.

源语言英语
主期刊名Advances in Fracture and Damage Mechanics XX
编辑Luis Rodriguez-Tembleque, Elena Correa, Ferri Aliabadi
出版商American Institute of Physics Inc.
ISBN(电子版)9780735445482
DOI
出版状态已出版 - 12 6月 2023
已对外发布是
活动20th International Conference on Fracture and Damage Mechanics, DM 2022 - Malaga, 西班牙
期限: 5 9月 2022 → 7 9月 2022

丛书

姓名AIP Conference Proceedings
卷2848
ISSN(印刷版)0094-243X
ISSN(电子版)1551-7616

会议

会议20th International Conference on Fracture and Damage Mechanics, DM 2022
国家/地区西班牙
市Malaga
时期5/09/22 → 7/09/22

学术指纹

探究 '2D strain field reconstruction of composite plates based on distributed fibre optic sensors' 的科研主题。它们共同构成独一无二的学术指纹。

引用此

Baidu
map