A Description Of Scattering Of Light From A Rough Surface And Measurements Of The Surface Topography Of A Metal

1987 ◽  
Author(s):  
O Keller ◽  
P Sonderkaer
Geophysics ◽  
1946 ◽  
Vol 11 (3) ◽  
pp. 362-372 ◽  
Author(s):  
M. B. Widess

The presence of rough surface topography in a prospect frequently constitutes a source of error in seismic mapping and poses the question of what computational methods can be applied by which seismic maps may be freed of the effect of surface relief. Various aspects of the problem are described. The use of a plane datum‐horizon is generally adequate as a solution of the problem. For greater refinement, the structural map may be modified to account for the overburden effect, the approximate magnitude of which is considered. Further modification may be required when lateral variations in subweathering velocity occur. Statistical analysis for determining the degree of conformity between surface topography and mapped structure at depth is useful in gathering data on the influence of surface topography.


Surface ◽  
2018 ◽  
Vol 10(25) ◽  
pp. 37-50
Author(s):  
V. I. Grigoruk ◽  
◽  
V. I. Kanevskii ◽  
S. A. Kolenov ◽  
◽  
...  

2010 ◽  
Vol 95A (3) ◽  
pp. 682-690 ◽  
Author(s):  
Carlo Galli ◽  
Giovanni Passeri ◽  
Francesca Ravanetti ◽  
Erida Elezi ◽  
Mario Pedrazzoni ◽  
...  

2012 ◽  
Vol 86 (1) ◽  
Author(s):  
Chengbin Zhang ◽  
Yongping Chen ◽  
Zilong Deng ◽  
Mingheng Shi

2012 ◽  
Vol 542-543 ◽  
pp. 115-118
Author(s):  
Chao Zhou ◽  
Cheng Hui Gao

Since the tribology properties of rough surfaces are closely related to its topography, one of the most important ingredients in tribology research is to find an appropriate tool to analyze and characterize rough surfaces. The elementary theory of contourlet which is a good method for multi-scale and multi-direction signal analysis was introduced and an application of contourlet in rough surface analysis was demonstrated. It was found that contourlet is more sensitive to curved features than general two dimensional wavelets; it is possible to become a new powerful tool for rough surface analysis and characterization.


Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 904
Author(s):  
Denis Spiridonov ◽  
Maria Vasilyeva ◽  
Eric T. Chung ◽  
Yalchin Efendiev ◽  
Raghavendra Jana

In this paper, we consider unsaturated filtration in heterogeneous porous media with rough surface topography. The surface topography plays an important role in determining the flow process and includes multiscale features. The mathematical model is based on the Richards’ equation with three different types of boundary conditions on the surface: Dirichlet, Neumann, and Robin boundary conditions. For coarse-grid discretization, the Generalized Multiscale Finite Element Method (GMsFEM) is used. Multiscale basis functions that incorporate small scale heterogeneities into the basis functions are constructed. To treat rough boundaries, we construct additional basis functions to take into account the influence of boundary conditions on rough surfaces. We present numerical results for two-dimensional and three-dimensional model problems. To verify the obtained results, we calculate relative errors between the multiscale and reference (fine-grid) solutions for different numbers of multiscale basis functions. We obtain a good agreement between fine-grid and coarse-grid solutions.


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