MULTISCALE WAVELET ANALYSIS IN POROUS MEDIA

An active area of experimental and theoretical research is to determine the relationship between microstructure and material properties such as mechanical, electrical, etc. [1]. Numerous studies have led to a better understanding of issues such as deformation, fracture, strength, electrical conductivity. However, it has been recognized that several open questions in this area could benefit significantly from recognizing that material heterogeneity (microstructure) is scale dependent, i.e. it is multiscale for (most) materials. Describing the relationship of material properties at different scales is quite a complex task [2]. Traditionally, problems of a multiscale nature, in particular the description of the porosity of inhomogeneous materials, are dealt with by different models using wavelet transforms. The composite wavelet matrix method consists of an approach in which different computational methodologies (molecular dynamics simulations, Monte Carlo simulations, and Potts Q-states) are applied to a region of a material simultaneously at coarse and fine spatial scales [3, 4].

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Published
2025-05-09
DOI
https://doi.org/10.36074/logos-09.05.2025.078
Primary Topic
Image and Signal Denoising Methods
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article
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article

MULTISCALE WAVELET ANALYSIS IN POROUS MEDIA

Alexander Pysarenko
Image and Signal Denoising Methods
article

MULTISCALE WAVELET ANALYSIS IN POROUS MEDIA

Alexander Pysarenko
article en

Abstract

An active area of experimental and theoretical research is to determine the relationship between microstructure and material properties such as mechanical, electrical, etc. [1]. Numerous studies have led to a better understanding of issues such as deformation, fracture, strength, electrical conductivity. However, it has been recognized that several open questions in this area could benefit significantly from recognizing that material heterogeneity (microstructure) is scale dependent, i.e. it is multiscale for (most) materials. Describing the relationship of material properties at different scales is quite a complex task [2]. Traditionally, problems of a multiscale nature, in particular the description of the porosity of inhomogeneous materials, are dealt with by different models using wavelet transforms. The composite wavelet matrix method consists of an approach in which different computational methodologies (molecular dynamics simulations, Monte Carlo simulations, and Potts Q-states) are applied to a region of a material simultaneously at coarse and fine spatial scales [3, 4].

Odessa State Academy of Civil Engineering and Architecture (UA)
Openalex Percentile: Top 87%
Image and Signal Denoising Methods
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