A connected-component-labeling-based approach to virtual porosimetry

Jorge Ernesto Rodríguez, Irving Cruz, Eduard Vergés, Dolors Ayala

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Analyzing the pore-size distribution of porous materials, made up of an aggregation of interconnected pores, is a demanding task. Mercury intrusion porosimetry (MIP) is a physical method that intrudes mercury into a sample at increasing pressures to obtain a pore-size histogram. This method has been simulated in-silice with several approaches requiring prior computation of a skeleton. We present a new approach to simulate MIP that does not require skeleton computation. Our method is an iterative process that considers the diameters corresponding to pressures. At each iteration, geometric tests detect throats for the corresponding diameter and a CCL process collects the region invaded by the mercury. Additionally, a new decomposition model called CUDB, is used. This is suitable for computing the throats and performs better with the CCL algorithm than a voxel model. Our approach obtains the pore-size distribution of the porous medium, and the corresponding pore graph. © 2011 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to)296-310
Number of pages15
JournalGraphical Models
DOIs
Publication statusPublished - 1 Sep 2011
Externally publishedYes

Fingerprint

Mercury
Connected Components
Labeling
Pore size
Porous materials
Skeleton
Porous Materials
Voxel
Iterative Process
Agglomeration
Histogram
Porous Media
Decomposition
Aggregation
Iteration
Decompose
Computing
Graph in graph theory
Model

All Science Journal Classification (ASJC) codes

  • Software
  • Modelling and Simulation
  • Geometry and Topology
  • Computer Graphics and Computer-Aided Design

Cite this

Rodríguez, Jorge Ernesto ; Cruz, Irving ; Vergés, Eduard ; Ayala, Dolors. / A connected-component-labeling-based approach to virtual porosimetry. In: Graphical Models. 2011 ; pp. 296-310.
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A connected-component-labeling-based approach to virtual porosimetry. / Rodríguez, Jorge Ernesto; Cruz, Irving; Vergés, Eduard; Ayala, Dolors.

In: Graphical Models, 01.09.2011, p. 296-310.

Research output: Contribution to journalArticle

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AB - Analyzing the pore-size distribution of porous materials, made up of an aggregation of interconnected pores, is a demanding task. Mercury intrusion porosimetry (MIP) is a physical method that intrudes mercury into a sample at increasing pressures to obtain a pore-size histogram. This method has been simulated in-silice with several approaches requiring prior computation of a skeleton. We present a new approach to simulate MIP that does not require skeleton computation. Our method is an iterative process that considers the diameters corresponding to pressures. At each iteration, geometric tests detect throats for the corresponding diameter and a CCL process collects the region invaded by the mercury. Additionally, a new decomposition model called CUDB, is used. This is suitable for computing the throats and performs better with the CCL algorithm than a voxel model. Our approach obtains the pore-size distribution of the porous medium, and the corresponding pore graph. © 2011 Elsevier Inc. All rights reserved.

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