本文關(guān)鍵詞： 簡支梁 動靜載檢測 模態(tài)分析 視頻圖像技術(shù) 分析　出處：《公路》2017年10期 　論文類型：期刊論文

【摘要】：針對簡支梁的試驗?zāi)Ｐ?與傳統(tǒng)的動載和靜載試驗不用,采用了視頻圖像技術(shù)來對簡支梁的振動進(jìn)行模態(tài)分析。一共進(jìn)行了兩組模型試驗,分別為帶傳感器和不帶傳感器下的簡支梁模型。并采用Matlab軟件把簡支梁的振動視頻分解成圖像,對分解得到的圖像裁剪出感興趣區(qū)域進(jìn)行灰度化和二值化處理。為了精確,對得到的整像素邊緣進(jìn)行了亞像素化處理,并處理出梁下邊緣的亞像素級別的時域信號。對這些信號數(shù)據(jù)進(jìn)行模態(tài)分析得出前三階頻率和振型,并與Midas建立的有限元模型,傳統(tǒng)的動載試驗處理得到的結(jié)果三者相比對,論證視頻圖像技術(shù)在動靜載試驗中的可行性和精確性。經(jīng)兩組試驗對比論證,基于視頻圖像技術(shù)的動靜載檢測較傳統(tǒng)檢測有更高的精度和可操作性,可以彌補(bǔ)傳統(tǒng)檢測的不足之處。
[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.
【作者單位】： 廣州大學(xué)土木工程學(xué)院;
【基金】：國家自然科學(xué)基金項目,項目編號51278137
【分類號】：U446.1
【正文快照】： 結(jié)構(gòu)的振動特性是判斷橋梁結(jié)構(gòu)承載能力和運(yùn)營狀況的重要指標(biāo),動載試驗[1]和靜載試驗[2,3]作為傳統(tǒng)檢測中最典型的兩種檢測方式,簡支梁又作為最常見的結(jié)構(gòu)形式,因此對簡支梁的振動測試及了解簡支梁的振動特性在結(jié)構(gòu)安全評估和測試中的作用具有重要意義。但兩種傳統(tǒng)的動靜載試

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相關(guān)期刊論文 前10條

1 尹國祥;;基于視頻圖像的肇事車輛車速鑒定[J];江西警察學(xué)院學(xué)報;2012年02期

2 劉雅U，

本文編號：1465916