Sierpinski Triangle and Pyramid

2021 ◽  
pp. 70-76
Author(s):  
Dana T. Johnson
Keyword(s):  
2015 ◽  
Vol 26 (10) ◽  
pp. 1198-1202 ◽  
Author(s):  
Na Li ◽  
Xue Zhang ◽  
Gao-Chen Gu ◽  
Hao Wang ◽  
Damian Nieckarz ◽  
...  

2011 ◽  
Vol 5 (3) ◽  
pp. 61
Author(s):  
Z. Mashreghian Arani ◽  
M. Hashempour ◽  
F. Lombardi

Fractals ◽  
2019 ◽  
Vol 27 (05) ◽  
pp. 1950091
Author(s):  
DAVID ETTESTAD ◽  
JOAQUIN CARBONARA

There are several methods given for constructing the Sierpinski Triangle (ST). In particular, the ST can be created as a countably infinite intersection of contained figures, or as the countably infinite union of triangles. At first glance they both appear to create the same object. In this paper, we show that they are not the same. In addition, we analyze and compare with the previous two methods, a third method of constructing the ST which entails generating a countable number of points using an algorithm.


Fractals ◽  
2011 ◽  
Vol 19 (04) ◽  
pp. 387-399 ◽  
Author(s):  
HYUNG SUK KANG ◽  
DUANE DENNIS ◽  
CHARLES MENEVEAU

An experimental study of interactions between a high Reynolds number fluid flow and multi-scale, fractal, objects is performed. Studying such interactions is required to improve our current understanding of wind or ocean current effects on vegetation elements, which often display fractal-like branching geometries. The main objectives of the study are to investigate the effects of the range of scales (generation numbers) of the fractal object and of the incoming flow condition on the drag force and drag coefficient, and to observe flow features in the near wake region resulting from the interaction. In this study, Sierpinski carpets and triangles with the scale ratios of 1/3 and 1/2, respectively, are employed. The fractal dimensions of the Sierpinski carpet and triangle are D = 1.893 and 1.585, respectively. Each pre-fractal object is mounted on a load cell at the centerline in a wind tunnel. Two types of inflow conditions are considered: laminar flow and high-turbulence level, active-grid-generated, flow. As a first approximation, we find the drag coefficients are approximately constant of order unity, and do not depend upon generation number of the pre-fractal when defined using the actual frontal area that varies as function of generation number. Still, the drag coefficient of the Sierpinski carpet increases weakly with number of generations indicating that the drag force decreases less than the cross-sectional area. For the Sierpinski triangle a similar trend is observed at large scales. However, the drag coefficient displays a peak at the third generation and then shows a decreasing trend as smaller scales are included for higher generation cases. The drag coefficient for the turbulent flow is larger than that for the laminar flow for all the fractal generations observed. Flow features (mean velocity, mean vorticity, and turbulence root-mean-square distributions) are measured by using stereoscopic Particle Image Velocimetry to observe various scales of the motion in the near wake of the pre-fractal objects. Strong shear layers are formed behind the fractal objects depending on the hole locations of different generations, which results in the formation of various length scales of the dominant turbulence structures. The smaller scale wakes are found to merge behind the Sierpinski carpet, whereas they are merely damped behind the Sierpinski triangle.


Fractals ◽  
2015 ◽  
Vol 23 (04) ◽  
pp. 1550047 ◽  
Author(s):  
JOSÉ L. RAMÍREZ ◽  
GUSTAVO N. RUBIANO ◽  
BORUT JURČIČ ZLOBEC

In this paper, we introduce the [Formula: see text]-circle inversion which generalizes the classical inversion with respect to a circle ([Formula: see text]) and the taxicab inversion [Formula: see text]. We study some basic properties and we also show the inversive images of some basic curves. We apply this new transformation to well-known fractals such as Sierpinski triangle, Koch curve, dragon curve, Fibonacci fractal, among others. Then we obtain new fractal patterns. Moreover, we generalize the method called circle inversion fractal be means of the [Formula: see text]-circle inversion.


2014 ◽  
Vol 107 (6) ◽  
pp. 414-418
Author(s):  
Douglas Wilcock

Students analyze a photograph to solve mathematical questions related to the images captured in the photograph. This month, a pyramidal sculpture by the Brazilian artist Saint-Clair Cemin that mimics the fractal known as the Sierpinski triangle prompts questions involving geometric sequences and series, areas, and volume. Pattern recognition is an important aspect of this article.


2015 ◽  
Vol 7 (5) ◽  
pp. 389-393 ◽  
Author(s):  
Jian Shang ◽  
Yongfeng Wang ◽  
Min Chen ◽  
Jingxin Dai ◽  
Xiong Zhou ◽  
...  
Keyword(s):  

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