An innovative image processing-based framework for the numerical modelling of cracked masonry structures

An innovative image processing-based framework for the numerical modelling of cracked masonry structures
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一种基于图像处理的创新框架,用于裂缝砌体结构的数值建模

DOI:
10.1016/j.autcon.2021.103633
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发表时间:
2021
影响因子:
10.3
通讯作者:
A. Drougkas
A. Drougkas
中科院分区:
工程技术1区
文献类型:
--
作者:
Dimitrios Loverdos;V. Sarhosis;E. Adamopoulos;A. Drougkas

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在对现有砌体结构的力学行为进行建模时,一个重要的方面是在数值模型中传递真实的结构的几何形状的准确性。通常,砖石结构的几何形状是用传统的技术(例如目测和手工测量方法)来捕捉的,这是劳动密集型的,容易出错。在过去的十年中,摄影测量和图像处理的进步已经开始改变建筑行业,因为它可以快速和远程捕获对象和特征的数字记录。虽然有限的工作存在于检测不同的功能,从砌体结构,到现在为止,没有自动化的程序,导致从基于图像的记录,其数值建模。为了解决这个问题,一个创新的框架,基于图像处理,已经开发出自动提取几何特征的砌体结构(即砌体单元,砂浆,现有的裂缝和病理等)。并为他们的高级数值模型生成几何形状。提出的基于分水岭的算法首先解构分割的特征,然后以共享顶点和边的形式重建它们,最后将它们转换为可扩展的折线。提取的多段线简化使用轮廓综合程序。进一步修改砌体元件的几何形状,以便于过渡到数值建模环境。所提出的框架进行了测试,通过比较一个未损坏的和损坏的砌体结构的数值分析结果,使用手动生成的模型和所提出的算法方法。虽然在这里演示的方法用于离散元建模,它可以应用到其他计算方法的基础上的简化和详细的微观建模方法来评估砌体结构的结构行为。
A vital aspect when modelling the mechanical behaviour of existing masonry structures is the accuracy in which the geometry of the real structure is transferred in the numerical model. Commonly, the geometry of masonry is captured with traditional techniques (e.g. visual inspection and manual surveying methods), which are labour intensive and error-prone. Over the last ten years, advances in photogrammetry and image processing have started to change the building industry since it is possible to capture rapidly and remotely digital records of objects and features. Although limited work exists in detecting distinct features from masonry structures, up to now there is no automated procedure leading from image-based recording to their numerical modelling. To address this, an innovative framework, based on image-processing, has been developed that automatically extracts geometrical features from masonry structures (i.e. masonry units, mortar, existing cracks and pathologies, etc.) and generate the geometry for their advanced numerical modelling. The proposed watershed-based algorithm initially deconstructs the features of the segmentation, then reconstructs them in the form of shared vertices and edges, and finally converts them to scalable polylines. The polylines extracted are simplified using a contour generalisation procedure. The geometry of the masonry elements is further modified to facilitate the transition to a numerical modelling environment. The proposed framework is tested by comparing the numerical analysis results of an undamaged and a damaged masonry structures, using models generated through manual and the proposed algorithmic approaches. Although the methodology is demonstrated here for use in discrete element modelling, it can be applied to other computational approaches based on the simplified and detailed micro-modelling approach for evaluating the structural behaviour of masonry structures.