Bilinear and Bicubic Interpolations for Image Presentation of Mechanical Stress and Temperature Distribution

Manikanta B. Pithani, S. Sanyal, A. Shukla
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Abstract

Bilinear and bicubic interpolations were often used in digital elevation models (DEMs), image scaling, and image restoration, with the aid of spatial transform techniques. This paper resorts to bilinear and bicubic interpolations, along with the spatial transform of images, to present the temperature distribution on a plate with a circular hole. The Dirichlet boundary conditions were applied, a rectangular grid was created, and the nodal values were calculated using the finite difference method (FDM). These methods were also employed to represent the mechanical stress distribution on a plate with a circular hole, under the presence of uniaxial stress. In this case, the nodal values were calculated using the analytical method. Experimental results show that bicubic interpolation generated continuous contours, while bilinear interpolation had a discontinuity in some cases. The results were comparative to images for similar cases when solved through ANSYS.
在空间变换技术的帮助下,双线性插值和双三次插值常用于数字高程模型(dem)、图像缩放和图像恢复。本文采用双线性插值和双三次插值,结合图像的空间变换,给出了圆孔板上的温度分布。采用Dirichlet边界条件,建立矩形网格,采用有限差分法计算节点值。这些方法也被用来表示在单轴应力存在下带圆孔板的机械应力分布。在这种情况下,节点值采用解析法计算。实验结果表明,双三次插值生成的轮廓是连续的,而双线性插值在某些情况下会产生不连续。结果与ANSYS求解的类似情况的图像进行了对比。
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