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用于汽车应用的光纤布拉格光栅应变模态测试。

Strain Modal Testing with Fiber Bragg Gratings for Automotive Applications.

作者信息

Falcetelli Francesco, Martini Alberto, Di Sante Raffaella, Troncossi Marco

机构信息

Department of Industrial Engineering-DIN, University of Bologna, Via Fontanelle 40, 47121 Forlì, Italy.

出版信息

Sensors (Basel). 2022 Jan 26;22(3):946. doi: 10.3390/s22030946.

DOI:10.3390/s22030946
PMID:35161691
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8838284/
Abstract

Strain Modal Testing (SMT), based on strain sensors signal processing, is an unconventional approach to perform Experimental Modal Analysis which is typically based on data measured by accelerometers. SMT is still mainly restricted to academia and requires additional investigation for a successful transition towards industry. This paper critically reviews why the automotive sector can benefit from this relatively new approach for a variety of reasons. Moreover, a case study representative of the automotive field is analyzed and discussed. Specifically, an SMT methodology is applied to evaluate the modal properties of a reinforced composite roof belonging to a racing solar powered vehicle. In the experimental activity, signals from Fiber Bragg Grating (FBG) sensors, strain gauges, and accelerometers were simultaneously acquired and further processed. The advantages of using optical fibers were discussed, together with their weaknesses and ongoing challenges. The FBG results were compared with the conventional analysis performed with the accelerometers, emphasizing the main similarities and discrepancies.

摘要

基于应变传感器信号处理的应变模态测试（SMT）是一种执行实验模态分析的非常规方法，实验模态分析通常基于加速度计测量的数据。SMT目前仍主要局限于学术界，为成功向工业领域过渡还需要进一步研究。本文批判性地审视了汽车行业为何能因多种原因从这种相对较新的方法中受益。此外，还对一个具有汽车领域代表性的案例进行了分析和讨论。具体而言，应用了一种SMT方法来评估一辆太阳能赛车的增强复合材料车顶的模态特性。在实验活动中，同时采集了来自光纤布拉格光栅（FBG）传感器、应变片和加速度计的信号，并进行了进一步处理。讨论了使用光纤的优点以及它们的缺点和面临的挑战。将FBG的结果与使用加速度计进行的传统分析结果进行了比较，强调了主要的异同点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/4907cd5bdf51/sensors-22-00946-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/4907cd5bdf51/sensors-22-00946-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/d8dd73b24ed1/sensors-22-00946-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/a708a89aaeab/sensors-22-00946-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/f922b7e4896e/sensors-22-00946-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/3306cf1065de/sensors-22-00946-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/0bc239676a56/sensors-22-00946-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ec/8838284/4907cd5bdf51/sensors-22-00946-g008.jpg

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