基于视频图像技术的简支梁动静载试验分析

发布时间：2018-01-26 15:08

本文关键词： 简支梁动静载检测模态分析视频图像技术分析　出处：《公路》2017年10期 　论文类型：期刊论文

【摘要】：针对简支梁的试验模型,与传统的动载和静载试验不用,采用了视频图像技术来对简支梁的振动进行模态分析。一共进行了两组模型试验,分别为带传感器和不带传感器下的简支梁模型。并采用Matlab软件把简支梁的振动视频分解成图像,对分解得到的图像裁剪出感兴趣区域进行灰度化和二值化处理。为了精确,对得到的整像素边缘进行了亚像素化处理,并处理出梁下边缘的亚像素级别的时域信号。对这些信号数据进行模态分析得出前三阶频率和振型,并与Midas建立的有限元模型,传统的动载试验处理得到的结果三者相比对,论证视频图像技术在动静载试验中的可行性和精确性。经两组试验对比论证,基于视频图像技术的动静载检测较传统检测有更高的精度和可操作性,可以弥补传统检测的不足之处。
[Abstract]:Aiming at the test model of simply supported beam, and without the traditional dynamic and static load test, this paper adopts video image technology to carry out modal analysis of the vibration of simply supported beam. Two groups of model tests are carried out altogether. It is a simple beam model with and without sensors, and the vibration video of the simply supported beam is decomposed into images by Matlab software. The region of interest is processed by gray and binarization. In order to be accurate, the whole pixel edge is processed by subpixel processing. The sub-pixel level time domain signals at the edge of the beam are processed. The first three order frequencies and modes are obtained by modal analysis of these signal data, and the finite element model is established with Midas. The results obtained from the traditional dynamic load test are compared with each other, and the feasibility and accuracy of the video image technology in the static and dynamic load test are demonstrated. Dynamic and static detection based on video image technology has higher precision and maneuverability than traditional detection, which can make up for the shortcomings of traditional detection.
【作者单位】：广州大学土木工程学院;
【基金】：国家自然科学基金项目,项目编号51278137
【分类号】：U446.1
【正文快照】： 结构的振动特性是判断桥梁结构承载能力和运营状况的重要指标,动载试验[1]和静载试验[2,3]作为传统检测中最典型的两种检测方式,简支梁又作为最常见的结构形式,因此对简支梁的振动测试及了解简支梁的振动特性在结构安全评估和测试中的作用具有重要意义。但两种传统的动静载试

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