Partitioning of the Pore Space based on a non-Hierarchical Decomposition Model

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Abstract

Bio-CAD and in-silico experimentation are getting a growing interest in biomedical applications, where scientific data coming from real samples are used to evaluate physical properties. In this sense, analyzing the pore-size distribution is a demanding task to help to interpret the characteristics of porous materials by partitioning it into its constituent pores. Pores are defined intuitively as local openings that can be interconnected by narrow apertures called throats that control a non-wetting phase invasion in a physical method. There are several approaches to characterize the pore space in terms of its constituent pores, several of them requiring prior computation of a skeleton. This paper presents a new approach to characterize the pore space, in terms of a pore-size distribution, which does not require the skeleton computation. Throats are identified using a new decomposition model that performs a spatial partition of the object 17 in a non-hierarchical sweep-based way consisting of a set of disjoint boxes. This approach 18 enables the characterization of the pore space in terms of a pore-size distribution.
Original languageEnglish
Number of pages18
JournalActa Universitaria
Volume29
DOIs
Publication statusPublished - 25 Sep 2019

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Pore size
Decomposition
Porous materials
Computer aided design
Physical properties

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title = "Partitioning of the Pore Space based on a non-Hierarchical Decomposition Model",
abstract = "Bio-CAD and in-silico experimentation are getting a growing interest in biomedical applications, where scientific data coming from real samples are used to evaluate physical properties. In this sense, analyzing the pore-size distribution is a demanding task to help to interpret the characteristics of porous materials by partitioning it into its constituent pores. Pores are defined intuitively as local openings that can be interconnected by narrow apertures called throats that control a non-wetting phase invasion in a physical method. There are several approaches to characterize the pore space in terms of its constituent pores, several of them requiring prior computation of a skeleton. This paper presents a new approach to characterize the pore space, in terms of a pore-size distribution, which does not require the skeleton computation. Throats are identified using a new decomposition model that performs a spatial partition of the object 17 in a non-hierarchical sweep-based way consisting of a set of disjoint boxes. This approach 18 enables the characterization of the pore space in terms of a pore-size distribution.",
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AB - Bio-CAD and in-silico experimentation are getting a growing interest in biomedical applications, where scientific data coming from real samples are used to evaluate physical properties. In this sense, analyzing the pore-size distribution is a demanding task to help to interpret the characteristics of porous materials by partitioning it into its constituent pores. Pores are defined intuitively as local openings that can be interconnected by narrow apertures called throats that control a non-wetting phase invasion in a physical method. There are several approaches to characterize the pore space in terms of its constituent pores, several of them requiring prior computation of a skeleton. This paper presents a new approach to characterize the pore space, in terms of a pore-size distribution, which does not require the skeleton computation. Throats are identified using a new decomposition model that performs a spatial partition of the object 17 in a non-hierarchical sweep-based way consisting of a set of disjoint boxes. This approach 18 enables the characterization of the pore space in terms of a pore-size distribution.

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