Structure Health Monitoring Field Data Analysis on a Bridge

机译：桥梁结构健康监测现场数据分析

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Structural Health Monitoring (SHM) has been adopted as a technique to monitor the structure performance to detect damage in bridges. Fatigue analysis is an important consideration for evaluating the health of the bridges. To estimate the remaining fatigue life more accurately, a refined evaluation load procedure is desirable. In this paper, we propose a data processing program (DPP) and a dynamic analysis program (DAG) into SHM to understand the performance of the bridges and establish fatigue life of the girders and the decks. DPP is implemented in Lab View with 6 functions: Average, Temperature Shift Elimination, FFT, Filters, Data Extraction, and Data File Splitter functions. The DAG program uses the harmonic method to analyze the effect of girders due to trucks moving across a bridge. This allows utilization of the output of DAG for input in the fatigue analysis to estimate the fatigue life. The validity of this system has been successfully demonstrated in the field monitoring of the Lindquist Bridge in Canada. However, it should be noted that complex environmental factors make damage detection of bridges a very challenging proposition.

机译：结构健康监测（SHM）已被采用作为监测结构性能以检测桥梁损坏的技术。疲劳分析是评估桥梁健康的重要考虑因素。为了更准确地估计剩余的疲劳寿命，理想的精确评估载荷过程。在本文中，我们向SHM提出了数据处理程序（DPP）和动态分析程序（DAG），以了解桥梁的性能，并建立梁和甲板的疲劳寿命。 DPP在具有6个功能的实验室视图下实现：平均，温度移位消除，FFT，滤波器，数据提取和数据文件分离器功能。 DAG计划使用谐波方法来分析由于卡车穿过桥梁的卡车的影响。这允许利用DAG的输出来输入疲劳分析，以估计疲劳寿命。在加拿大Lindquist桥的现场监测中成功地证明了该系统的有效性。然而，应该指出的是，复杂的环境因素对桥梁的损害检测非常具有挑战性的命题。

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《International Conference on Geological Engineering》|2009年||共7页
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Jianping Wu; Weiming Lei; Liting Han; Aftab Mufti;
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中图分类 P642-53;
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Structural health monitoring; Data processing; Dynamic analysis;

机译：结构健康监测;数据处理;动态分析;

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机译：桥梁结构在线健康监测数据分析与检测方法

Structure Health Monitoring Field Data Analysis on a Bridge

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