结合SfM摄影测量的拱形结构半自动离散元建模

N. Kassotakis, V. Sarhosis, M. Peppa, J. Mills
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引用次数: 1

摘要

本文提出了“Image2DEM”,一个用于半自动化结构分析的框架。通过使用图像处理技术(IPTs)绕过费力的基于cad的过程,从运动结构(SfM)摄影测量中半自动地开发出拱形标本的数值模型。然后,通过将所提出的框架的数值模型与传统的基于cad的框架进行比较,在以下方面进行评估:a)几何一致性(即关节和块属性);b)结构能力一致性(即每个铰形节点之间的刚度、荷载乘数和法向力)。结果首次证明了SfM摄影测量是一种有效的结构测量数值模拟方法。在此基础上建立的数值模型与传统框架在几何结构方面具有良好的一致性。此外,在预测结构容量方面也发现了很好的一致性,结构容量的差异小于7%。虽然这里只展示了捕获小型拱形结构几何和结构容量的潜力,但本研究为自动获取拱形结构的几何数据奠定了基础。
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Semi-automated discrete element modelling of arch structures incorporating SfM photogrammetry
This paper presents “Image2DEM”, a framework for the semi-automated structural analysis of arches. Numerical models of arch specimens are semi-automatically developed from Structure-from-Motion (SfM) photogrammetry, by employing image processing techniques (IPTs) to bypass laborious CAD-based processes. Then, the numerical models of the proposed framework are assessed by comparison to a conventional CAD-based framework in terms of: a) geometrical agreement (i.e., joint and block properties); and b) structural capacity agreement (i.e., stiffness, load multipliers and normal forces between joints at each hinge formation). Results firstly demonstrated SfM photogrammetry as an effective avenue of structural surveying for numerical modelling. After, the numerical models developed from the proposed and conventional framework were demonstrated to have a good agreement in terms of geometry. Furthermore, good agreement was also found in the predicted structural capacity, with differences in structural capacity of less than 7% Although only the potential to capture both the geometry and structural capacity of small-scale arch structures was demonstrated here, this study lays the foundation for automated geometry acquisition for arches for their structural analysis.
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CiteScore
1.40
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50.00%
发文量
15
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