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低成本桥梁无线结构健康监测。

Low-Cost Wireless Structural Health Monitoring of Bridges.

机构信息

Department of Civil and Environment Engineering, Universitat Politècnica de Catalunya, BarcelonaTech. C/Jordi Girona 1-3, 08034 Barcelona, Spain.

Department of Civil Engineering, Universidad de Castilla-La Mancha, Av. Camilo Jose Cela s/n, 13071 Ciudad Real, Spain.

出版信息

Sensors (Basel). 2022 Jul 30;22(15):5725. doi: 10.3390/s22155725.

DOI:10.3390/s22155725
PMID:35957280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9371212/
Abstract

Nowadays, low-cost accelerometers are getting more attention from civil engineers to make Structural Health Monitoring (SHM) applications affordable and applicable to a broader range of structures. The present accelerometers based on Arduino or Raspberry Pi technologies in the literature share some of the following drawbacks: (1) high Noise Density (ND), (2) low sampling frequency, (3) not having the Internet's timestamp with microsecond resolution, (4) not being used in experimental eigenfrequency analysis of a flexible and a less-flexible bridge, and (5) synchronization issues. To solve these problems, a new low-cost triaxial accelerometer based on Arduino technology is presented in this work (Low-cost Adaptable Reliable Accelerometer-LARA). Laboratory test results show that LARA has a ND of 51 µg/√Hz, and a frequency sampling speed of 333 Hz. In addition, LARA has been applied to the eigenfrequency analysis of a short-span footbridge and its results are compared with those of a high-precision commercial sensor.

摘要

如今，低成本的加速度计受到土木工程师的更多关注，使结构健康监测（SHM）应用能够负担得起，并且适用于更广泛的结构。目前文献中基于 Arduino 或 Raspberry Pi 技术的加速度计存在一些共同的缺点：（1）噪声密度（ND）高，（2）采样频率低，（3）没有具有微秒分辨率的互联网时间戳，（4）未用于柔性和不太柔性桥梁的实验固有频率分析，以及（5）同步问题。为了解决这些问题，本工作提出了一种新的基于 Arduino 技术的低成本三轴加速度计（低成本自适应可靠加速度计-LARA）。实验室测试结果表明，LARA 的 ND 为 51 µg/√Hz，频率采样速度为 333 Hz。此外，LARA 已应用于短跨步行桥的固有频率分析，其结果与高精度商业传感器的结果进行了比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/bfd87eeda34c/sensors-22-05725-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/495dd026b2f7/sensors-22-05725-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/d17e3699d04f/sensors-22-05725-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/2918244915a3/sensors-22-05725-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/c131e222ba6a/sensors-22-05725-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/be41d4cccb9a/sensors-22-05725-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/840bdc2ad363/sensors-22-05725-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/640d05fbc251/sensors-22-05725-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/25e13b277ade/sensors-22-05725-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/933935a9c67d/sensors-22-05725-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/bfd87eeda34c/sensors-22-05725-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/495dd026b2f7/sensors-22-05725-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/55554cd33257/sensors-22-05725-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/172ff5a6c534/sensors-22-05725-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/d17e3699d04f/sensors-22-05725-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/2918244915a3/sensors-22-05725-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/c131e222ba6a/sensors-22-05725-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/be41d4cccb9a/sensors-22-05725-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/840bdc2ad363/sensors-22-05725-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/640d05fbc251/sensors-22-05725-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/25e13b277ade/sensors-22-05725-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/933935a9c67d/sensors-22-05725-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbe/9371212/bfd87eeda34c/sensors-22-05725-g012.jpg

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