A compact in-situ shape sensing membrane integrating displacement reconstruction and sensor layout design algorithm

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-06-13 DOI:10.1016/j.measurement.2025.118033

Jiafeng Zhu , Jin Lu , Jingjing Ji

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引用次数: 0

Abstract

Precise real-time shape sensing enables early fault prevention and ensures the stable operation of key structures. This paper presents a novel in-situ shape sensing system designed to achieve high-precision full-field displacement reconstruction. Leveraging the flexible strain-sensing membrane with compact strain rosettes and the single-sided inverse finite element method (ssiFEM)-based layout design algorithm (sLDA), the system optimizes the arrangement of strain rosettes for enhanced reconstruct accuracy under varying working conditions. By integrating the ssiFEM with optimization algorithm, the proposed sLDA minimizes reconstruction errors, enabling the system to reconstruct reliable and real-time displacement fields using a limited number of measurement channels. Simulations and experiments on a variable camber wing demonstrate the effectiveness of the system, which improves up to 8.5% reconstruction accuracy compared to a conventionally uniform layout. The results confirm that the shape sensing system offers a versatile, cost-effective solution for multi-scale structural health monitoring applications.

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一种集成位移重构和传感器布局设计算法的紧凑原位形状传感膜

精确的实时形状感知，实现早期故障预防，确保关键结构的稳定运行。本文提出了一种新型的原位形状传感系统，旨在实现高精度的全场位移重建。该系统利用具有紧凑应变结的柔性应变传感膜和基于单面反有限元法（ssiFEM）的布局设计算法（sLDA），对应变结的排列进行优化，提高了不同工况下的重构精度。通过将ssiFEM与优化算法相结合，所提出的sLDA使重建误差最小化，使系统能够使用有限的测量通道重建可靠的实时位移场。在变弧度机翼上的仿真和实验证明了该系统的有效性，与传统的均匀布局相比，该系统的重建精度提高了8.5%。结果证实，形状传感系统为多尺度结构健康监测应用提供了一种多功能、经济高效的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.