Application of Rendering Techniques to Monte-Carlo Physical Simulation of Gas Diffusion

Blasi, Philippe; Saëc, Bertrand Le; Vignoles, Gérard L.

doi:10.1007/978-3-7091-6858-5_27

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…The SMC discretization scheme is used both for the computation of effective diffusivities in porous media, and for the simulation of the matrix deposition, in combination with a Monte-Carlo/Random Walks (MC/RW) technique. The MC/RW technique has been used many times in media described by distributions of ideal objects, mostly overlapping or non-overlapping cylinders [21,22,23,24] ; however, as far as real porous media are concerned, the material surface description by MC algorithms is necessary [25]. One of the interests of SMC in the case of random walks in porous media is that it is an interesting compromise between accuracy and computational speed.…”

Section: Methodsmentioning

confidence: 99%

Simplified marching cubes: An efficient discretization scheme for simulations of deposition/ablation in complex media

Vignoles

Donias

Mulat

et al. 2011

Computational Materials Science

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Section: Methodsmentioning

confidence: 99%

Simplified marching cubes: An efficient discretization scheme for simulations of deposition/ablation in complex media

Vignoles

Donias

Mulat

et al. 2011

Computational Materials Science

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“…However, some closed porosity remains, which is removed using a classical percolation algorithm . It is also possible to use a mask and recover the exact grey-level values of the pixels which touch the interface, in order to use subsequently accurate surface tesselation procedures [10].…”

Section: Algorithmmentioning

confidence: 99%

“…It is possible, on the basis of the reconstructed 3D images where the interface between porous and solid phases is visible, to compute the essential geometrical properties [6,7] and effective transport properties (permeability [8], diffusivity and Knudsen diffusivity [9,10] as well as mercury penetration curves for the porous phase [11], thermal and electrical conductivity [12], stiffness tensor [13,14] , ...). It is also possible to perform on such images simulations of the evolution of the microstructure under some constraints, such as matrix deposition or infiltration, and chemical or mechanical degradation.…”

Section: Introductionmentioning

confidence: 99%

Image segmentation for phase-contrast hard X-ray CMT of C/C composites

2002

Fuel and Energy Abstracts

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In the aim of producing high-quality discretized 3D images of the porous architecture of C/C composites, computerized microtomographs have been acquired with synchrotron radiation X-rays. Due to the weak X-ray absorption coefficient of carbon, the result of acquisition at 2µm or 1µm resolution are phase contrast images, not usable as such for the evaluation of geometrical or transport properties. We present here an image treatment algorithm designed to overcome this inconvenient. KEY WORDS

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“…sampling the scene with individual rays, is a fundamental task that is the core of a large number of algorithms not only in computer graphics. Other disciplines use the same approach for example to simulate propagation of radio waves 11 , neutron transport, and diffusion 32 . Another example is DARPA's large "Data Intensive Systems" (DIS) project 10 , which is mainly motivated by the need to speed up ray tracing for computing radar cross sections.…”

Section: Introductionmentioning

confidence: 99%

Interactive Rendering with Coherent Ray Tracing

Booth

2001

Computer Graphics Forum

313

240

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For almost two decades researchers have argued that ray tracing will eventually become faster than the rasterization technique that completely dominates todays graphics hardware. However, this has not happened yet. Ray tracing is still exclusively being used for off‐line rendering of photorealistic images and it is commonly believed that ray tracing is simply too costly to ever challenge rasterization‐based algorithms for interactive use. However, there is hardly any scientific analysis that supports either point of view. In particular there is no evidence of where the crossover point might be, at which ray tracing would eventually become faster, or if such a point does exist at all. This paper provides several contributions to this discussion: We first present a highly optimized implementation of a ray tracer that improves performance by more than an order of magnitude compared to currently available ray tracers. The new algorithm make better use of computational resources such as caches and SIMD instructions and better exploits image and object space coherence. Secondly, we show that this software implementation can challenge and even outperform high‐end graphics hardware in interactive rendering performance for complex environments. We also provide an brief overview of the benefits of ray tracing over rasterization algorithms and point out the potential of interactive ray tracing both in hardware and software.

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Application of Rendering Techniques to Monte-Carlo Physical Simulation of Gas Diffusion

Cited by 5 publications

References 21 publications

Simplified marching cubes: An efficient discretization scheme for simulations of deposition/ablation in complex media

Simplified marching cubes: An efficient discretization scheme for simulations of deposition/ablation in complex media

Image segmentation for phase-contrast hard X-ray CMT of C/C composites

Interactive Rendering with Coherent Ray Tracing

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