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基于激光测振技术的水坝在非稳定工况下的结构健康监测应用。

On the Application of Laser Vibrometry to Perform Structural Health Monitoring in Non-Stationary Conditions of a Hydropower Dam.

机构信息

Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova 2, 1000 Ljubljana, Slovenia.

出版信息

Sensors (Basel). 2019 Sep 3;19(17):3811. doi: 10.3390/s19173811.

DOI:10.3390/s19173811
PMID:31484436
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6749233/
Abstract

This paper presents the first application of the Laser Doppler Vibrometer (LDV) in non-stationary conditions within a hydropower plant powerhouse. The aim of this research is to develop a methodology to include non-contact vibration monitoring as part of structural health monitoring of concrete dams. We have performed in-situ structural vibration measurements on the run-of-the-river Brežice dam in Slovenia during the start-up tests and regular operation. In recent decades, the rapid development of laser measurement technology has provided powerful methods for a variety of measuring tasks. Despite these recent developments, the use of lasers for measuring has been limited to sites provided with stationary conditions. This paper explains the elimination of pseudo-vibration and measurement noise inherent in the non-stationary conditions of the site. Upon removal of the noise, fatigue of the different structural elements of the powerhouse could be identified if significant changes over time are observed in the eigenfrequencies. The use of laser technology is to complement the regular monitoring activities on large dams, since observation and analysis of integrity parameters provide indispensable information for decision making and maintaining good structural health of ageing dams.

摘要

本文首次将激光多普勒测振仪(LDV)应用于水电站厂房内的非稳态条件下。本研究的目的是开发一种方法,将非接触式振动监测作为混凝土坝结构健康监测的一部分。我们在斯洛文尼亚的 Brežice 径流式大坝的启动测试和正常运行期间进行了现场结构振动测量。在最近几十年中,激光测量技术的快速发展为各种测量任务提供了强大的方法。尽管有这些最新的发展,但是由于站点条件的限制,激光的使用仅限于固定条件下。本文解释了消除固有站点非稳态条件下的伪振动和测量噪声。消除噪声后,如果在特征频率中观察到随时间的显著变化,则可以识别出厂房不同结构元件的疲劳情况。激光技术的使用是为了补充对大型水坝的常规监测活动,因为完整性参数的观察和分析为决策和保持老化水坝的良好结构健康提供了不可或缺的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/af672a55ed04/sensors-19-03811-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/30565c91ac5b/sensors-19-03811-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/ff6880468106/sensors-19-03811-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/2144ed33d434/sensors-19-03811-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/cfd6d9f4c659/sensors-19-03811-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/94c94ac0599a/sensors-19-03811-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/95850a306540/sensors-19-03811-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/215cc49433ad/sensors-19-03811-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/47d456896760/sensors-19-03811-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/af672a55ed04/sensors-19-03811-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/30565c91ac5b/sensors-19-03811-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/ff6880468106/sensors-19-03811-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/2144ed33d434/sensors-19-03811-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/cfd6d9f4c659/sensors-19-03811-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/94c94ac0599a/sensors-19-03811-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/95850a306540/sensors-19-03811-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/215cc49433ad/sensors-19-03811-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/47d456896760/sensors-19-03811-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b6/6749233/af672a55ed04/sensors-19-03811-g009.jpg

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Sensors for Structural Health Monitoring and Condition Monitoring.用于结构健康监测和状态监测的传感器。
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