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基于应变数据和高精度有限元分析的桥梁健康监测。

Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis.

机构信息

Laboratory for Nondestructive Evaluation and Structural Health Monitoring Studies, Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15261, USA.

出版信息

Sensors (Basel). 2022 Jul 10;22(14):5172. doi: 10.3390/s22145172.

DOI:10.3390/s22145172
PMID:35890852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9322960/
Abstract

This article presented a physics-based structural health monitoring (SHM) approach applied to a pretensioned adjacent concrete box beams bridge in order to predict the deformations associated with the presence of transient loads. A detailed finite element model was generated using ANSYS software to create an accurate model of the bridge. The presence of concentrated loads on the deck at different locations was simulated, and a static analysis was performed to quantify the deformations induced by the loads. Such deformations were then compared to the strains recorded by an array of wireless strain gauges during a controlled truckload test performed by an independent third party. The test consisted of twenty low-speed crossings at controlled distances from the bridge parapets using a truck with a certified load. The array was part of a SHM system that consisted of 30 wireless strain gauges. The results of the comparative analysis showed that the proposed physics-based monitoring is capable of identifying sensor-related faults and of determining the load distributions across the box beams. In addition, the data relative to near two-years monitoring were presented and showed the reliability of the SHM system as well as the challenges associated with environmental effects on the strain reading. An ongoing study is determining the ability of the proposed physics-based monitoring at estimating the variation of strain under simulated damage scenarios.

摘要

本文提出了一种基于物理的结构健康监测(SHM)方法,应用于一座预应力相邻混凝土箱梁桥,以预测与瞬态载荷相关的变形。使用 ANSYS 软件生成了详细的有限元模型,以创建桥梁的精确模型。模拟了桥面不同位置集中载荷的存在,并进行了静态分析,以量化载荷引起的变形。然后,将这些变形与第三方独立进行的受控卡车荷载试验期间由无线应变计阵列记录的应变进行比较。该试验包括使用经过认证的负载的卡车在受控距离处从桥护栏进行二十次低速穿越。该阵列是 SHM 系统的一部分,该系统由 30 个无线应变计组成。比较分析的结果表明,所提出的基于物理的监测能够识别与传感器相关的故障,并确定箱梁上的载荷分布。此外,还介绍了近两年监测的相关数据,显示了 SHM 系统的可靠性以及环境效应对应变读数的影响所带来的挑战。正在进行的研究正在确定所提出的基于物理的监测在估计模拟损伤情况下应变变化的能力。

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