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Damage localization and quantification in gusset plates: A battery-free sensing approach

机译:角撑板中的损伤定位和量化:无电池感应方法

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摘要

This study presents a numerical approach for damage localization and quantification in gusset plates using data provided by a battery-free sensing technology. A series of 3D finite element simulations are conducted to obtain the response of a gusset plate with a geometrical structure similar to U10W gusset plate of the I-35W Highway Bridge in Minneapolis, MN, USA. Crack propagation is simulated using the extended finite element method. A network of sensing nodes is placed on the surface of the plate to extract strain-time history for different damage stages. Subsequently, probability density functions (PDFs) are defined to characterize the output of the self-powered sensor. A crack localization and quantification approach is proposed based on fusion of the data from a network of sensors. Based on the results, damage can be precisely detected and localized through tracking relative shifts of PDFs over time. Moreover, features extracted from PDFs can be used to measure the crack size.
机译:这项研究提出了一种利用无电池传感技术提供的数据对扣板中的损伤进行定位和量化的数值方法。进行了一系列的3D有限元模拟,以获得具有类似于美国明尼阿波利斯I-35W公路桥梁的U10W扣板的几何结构的扣板的响应。使用扩展有限元方法模拟了裂纹扩展。传感节点网络放置在板的表面上,以提取不同损伤阶段的应变时间历史。随后,定义概率密度函数(PDF)以表征自供电传感器的输出。提出了一种基于传感器网络数据融合的裂纹定位和量化方法。根据结果​​,可以通过跟踪PDF随时间的相对移动来精确地检测和定位损坏。此外,从PDF提取的特征可用于测量裂纹尺寸。

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