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古建筑彩绘梁整像素位移自适应搜索解算方法
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重庆大学

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国家自然科学基金项目(面上项目)


Integral pixel Displacement Adaptive Search Algorithm for Ancient Painted Beams
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Chongqing university

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    摘要:

    通过在构件表面喷涂均匀散斑并拍摄变形前后的图片,数字图像相关法(DIC)可实现构件位移的非接触式测量,已广泛应用于机械、航空等工程领域。针对古建筑木梁彩绘图案灰度不均,导致传统DIC在整像素位移解算时识别效果差、计算效率低的难题,提出修正的自适应十字模式搜索法(IARPS)进行整像素位移解算。首先,预估第一个搜索点的搜索半径,在该半径内进行穷举搜索;然后引入自适应十字模式算法,通过小菱形搜索实现整像素位移的解算。采用散斑图模拟位移及装饰有彩绘图案的木梁压弯试验,将IARPS与DIC中常用粗-细搜索算法进行对比,结果表明IARPS方法能有效克服粗-细搜索算法局部计算不精确的缺陷,且IARPS的计算效率可提高71.6%,为将DIC应用于古建筑彩绘梁的非接触式位移测量提供了一种新的解算方法。

    Abstract:

    Digital image correlation method (DIC) can realize non-contact displacement measurement of member by spraying uniform speckle on member surface and taking pictures before and after deformation, which has been widely used in mechanical, aviation and other engineering fields. Considering the problems of poor recognition effect and low calculation efficiency in deformation measurement of traditional integral pixel algorithm for painted beams of ancient buildings caused by painted pattern uneven gray scale, Improve-Adaptive Rood Pattern Search (IARPS) method is proposed. Firstly, predict the search radius of the first search point and search exhaustively within the radius, and then Adaptive Rood Pattern Search was introduced to search the whole pixel displacement through small diamond search. By using simulated speckle pattern displacement and the bending test of common regular painted pattern decorative wood beam, IARPS is compared with the coarse-fine search method commonly used in DIC. Through comparative analysis, the results show that IARPS method overcomes the imprecision of local computation in the coarse-fine search method, the calculation efficiency can be improved by 71.6% and IARPS provides a new method to apply DIC to non-contact deformation measurement of ancient painted beams.

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  • 收稿日期: 2019-07-16
  • 最后修改日期: 2019-12-09
  • 录用日期: 2019-12-31
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