Quantifying the effect of geometric uncertainty on the structural behaviour of arches developed from direct measurement and Structure-from-Motion (SfM) photogrammetry
Quantifying the effect of geometric uncertainty on the structural behaviour of arches developed from direct measurement and Structure-from-Motion (SfM) photogrammetry
复制标题
量化几何不确定性对直接测量和运动结构 (SfM) 摄影测量开发的拱结构行为的影响
DOI：
10.1016/j.engstruct.2020.111710
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发表时间：
2021
影响因子：
5.5
通讯作者：
J. Mills
中科院分区：
文献类型：
--
作者：
N. Kassotakis;V. Sarhosis;M. Peppa;J. Mills
本文的目的是量化的几何不确定性的结构行为的拱门开发使用传统的地理空间和遥感技术的影响。25干接缝，刚性块拱试样的几何模型开发使用建议的“Image 2DEM”框架，包括结构从运动（SfM）摄影测量管道。评估的框架进行了各自的几何模型，从磁带测量，在几何形状和结构行为。研究的几何变量为：a）关节倾角; B）关节中点位置; c）关节长度; d）块体积;以及e）块质心位置。在结构性能方面，采用离散元法对拱试件的试验进行了数值模拟，得到了拱试件的刚度、荷载乘数和节点间法向力。结果表明，即使是很小的变化（约。由SfM摄影测量和卷尺测量建立的几何模型之间的误差（8%）可以分别影响拱的倒塌荷载和刚度10%和46%以上。此外，几何变量的调查，联合倾角被发现影响的崩溃负载。这些研究结果突出了开发精确的几何模型的重要性，以及随后采用精确的几何数据采集技术，以可靠地捕捉拱的结构行为。虽然在实验室中建造的拱标本的调查证明在这里，开发的成果有重要的影响，更广泛的主题数据驱动的砌体诊断使用SfM摄影测量和高层次的数值模拟，如DEM的微观建模策略。
The aim of this paper is to quantify the effect of geometric uncertainty on the structural behaviour of arches developed using traditional geospatial and remote sensing techniques. Geometric models of twenty-five dry-jointed, rigid block arch specimens were developed using the proposed “Image2DEM” framework, encompassing the Structure-from-Motion (SfM) photogrammetry pipeline. Assessment of the framework was carried out with respective geometric models developed from tape measurements, in terms of geometry and structural behaviour. The geometric variables investigated were the: a) joint inclination angle; b) joint mid-point location; c) joint length; d) block volume; and e) block centroid location. Concerning structural behaviour, experimental testing of the arch specimens was numerically simulated with the Discrete Element Method (DEM), and the stiffness, load multiplier and normal forces between joints were obtained. Results showed that even small variations (approx. 8%) between geometric models developed from SfM photogrammetry and tape measurements can influence the collapse load and stiffness of the arch by more than 10% and 46% respectively. Also, of the geometric variables investigated, the joint inclination angle was found to influence the collapse load the most. These findings highlight the importance of developing accurate geometric models, and subsequent employment of accurate geometric data acquisition techniques, to reliably capture the structural behaviour of arches. Although an investigation on arch specimens constructed in the laboratory is demonstrated here, the developed outcomes have important implications for the broader topic of data-driven masonry diagnostics using SfM photogrammetry and high-level numerical modelling using micro-modelling strategies such as the DEM.
影响因子：
3.4
作者：
Eltner, Anette;Kaiser, Andreas;Abellan, Antonio
通讯作者：
Abellan, Antonio
影响因子：
2.4
作者：
Eltner, Anette;Schneider, Danilo
通讯作者：
Schneider, Danilo