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Statistical Properties of Strain and Rotation Tensors in Geodetic Network

机译:大地测量网络中应变和旋转张量的统计性质

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This article deals with the characteristics of deformation of a body or a figure represented by discrete points of geodetic network. In each point of geodetic network kinematic quantities are considered normal strain, shear strain, and rotation. They are computed from strain and rotation tensors represented by displacement gradient matrix on the basis of known point displacement vector. Deformation analysis requires the appropriate treatment of kinematic quantities. Thus statistical properties of each quantity in a single point of geodetic network have to be known. Empirical results have shown that statistical properties are strongly related to the orientation in single point and local geometry of the geodetic network. Based on the known probability distribution of kinematic quantities the confidence areas for each quantity in a certain point can be defined. Based on this we can carry out appropriate statistical testing and decide whether the deformation of network in each point is statistically significant or not. On the other hand, we are able to ascertain the quality of the geometry of the geodetic network. The known characteristics of the probability distributions of two strain parameters and rotation in each point can serve as useful tools in the procedures of optimizing the geometry of the geodetic networks.
机译:本文讨论由大地测量网络的离散点表示的物体或图形的变形特征。在大地测量网络的每个点,运动量都被视为法向应变,剪切应变和旋转。它们是根据已知点位移矢量,由由位移梯度矩阵表示的应变和旋转张量计算得出的。变形分析需要对运动量进行适当的处​​理。因此,必须知道大地测量网络单点中每个量的统计属性。实证结果表明,统计属性与大地测量网络的单点方向和局部几何形状密切相关。基于运动量的已知概率分布,可以定义特定点上每个量的置信区域。在此基础上,我们可以进行适当的统计检验,并确定每个点的网络变形是否具有统计显着性。另一方面,我们能够确定大地测量网络的几何质量。两个应变参数的概率分布以及每个点的旋转的已知特征可以用作优化大地测量网络几何过程中的有用工具。

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