Study on Porous Structure of Porous Media in Geotechnical Materials

2021 ◽  
Vol 871 ◽  
pp. 363-370
Author(s):  
Yong Xin Wang ◽  
Chun Hui Lan ◽  
Hai Tian
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Structural Materials ◽  
Two Dimensional ◽  
Complex Materials ◽  
Structural Problems ◽  
Porosity Model

Geotechnical materials are complex materials with very strong structures, but their structural problems have always been difficult problems in this field. In this paper, by studying the structural problems of geotechnical materials, we understand and master this kind of structural materials. Methods for describing complex materials, as well as the nature, characteristics, and changes of the material after being affected by the environment, especially the influence of the structure of the material on the macroscopic properties of the material. Starting from the basis of the material-material particles, fully consider the particle Geometry, surface characteristics and material characteristics, further analysis of the mechanical and geometric characteristics of structural materials composed of particles, a porosity model describing the pore size distribution is proposed, and the two-dimensional and three-dimensional The experimental data of pores in the space shows that the predicted value of the porosity model agrees well with the measured value in the three-dimensional space.In two-dimensional space, the validity of the model is closely related to the corresponding number of pores and the fractal dimension of the pore size distribution.

scholarly journals Experimental investigation on pore size distribution and drying kinetics during lyophilization of sugar solutions

2018 ◽  
Author(s):  
Petra Foerst ◽  
M. Lechner ◽  
N. Vorhauer ◽  
H. Schuchmann ◽  
E. Tsotsas
Keyword(s):  
Pore Structure ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Freeze Drying ◽  
Three Dimensional ◽  
Drying Kinetics ◽  
Process Efficiency ◽  
Freeze Dried ◽  
Pore Size Distributions

The pore structure is a decisive factor for the process efficiency and product quality of freeze dried products. In this work the two-dimensional ice crystal structure was investigated for maltodextrin solutions with different concentrations by a freeze drying microscope. The resulting drying kinetics was investigated for different pore structures. Additionally the three-dimensional pore structure of the freeze dried samples was measured by µ-computed tomography and the pore size distribution was quantified by image analysis techniques. The two- and three-dimensional pore size distributions were compared and linked to the drying kinetics.Keywords: pore size distribution; freeze drying; maltodextrin solution; freeze drying microscope   

Mechanical Properties and Pore Size Distribution in Athermal Porous Glasses

Soft Matter ◽  
2021 ◽  
Author(s):  
Sucharita Niyogi ◽  
Bhaskar Sen Gupta
Keyword(s):  
Mechanical Properties ◽  
Molecular Dynamics ◽  
Pore Structure ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Porous Glass ◽  
Three Dimensional ◽  
Dynamics Model ◽  
Porous Glasses

In this paper, we study the mechanical properties and pore structure in a three-dimensional molecular dynamics model of porous glass under athermal quasistatic shear. The vitreous samples are prepared by...

Local Thickness and Anisotropy Approaches to Characterize Pore Size Distribution of Three-Dimensional Porous Networks

2009 ◽  
Vol 15 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Martin Y.M. Chiang ◽  
Forrest A. Landis ◽  
Xianfeng Wang ◽  
Jack R. Smith ◽  
Marcus T. Cicerone ◽  
...  
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Three Dimensional ◽  
Porous Networks

The True Size Distribution of Ain Particles Obtained from Extraction Replicas

1990 ◽  
Vol 48 (1) ◽  
pp. 588-589
Author(s):  
Ö.N. Doğan ◽  
H.W. Kwon ◽  
G.M. Michal
Keyword(s):  
Size Distribution ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Thin Foil ◽  
Spherical Particles ◽  
Two Dimensional ◽  
Extraction Replica ◽  
Tem Analysis ◽  
Planar Section ◽  
Thin Foils

Determination of the morphology and size distribution of particles in a multiple phase material can be accomplished using opaque planar section optical microscopy or thin foil and extraction replica TEM analysis. In all cases, measurements are obtained using two-dimensional information from a planar section or through a projection of three-dimensional space. The two-dimensional size and morphology data obtained must be converted into the true three-dimensional data to be of further use. For spherical particles, methods of two- to three-dimensional size distribution conversion have been developed for planar sections, thin foils and extraction replicas. However, A1N particles precipitated in FCC iron are rod-shaped with a square cross section. To analyze these particles, an iterative method has been developed to determine the true three-dimensional size distribution of rod-shaped particles from their projected images obtained from extraction replicas. This method assumes that the particles are randomly oriented in the matrix phase and that they have a common aspect ratio.

Two-Dimensional Polyamide Networks with a Broad Pore Size Distribution on the Ag(111) Surface

2011 ◽  
Vol 115 (15) ◽  
pp. 7270-7278 ◽  
Author(s):  
Christoph H. Schmitz ◽  
Julian Ikonomov ◽  
Moritz Sokolowski
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Two Dimensional

pyGAPS: A Python-Based Framework for Adsorption Isotherm Processing and Material Characterisation

2019 ◽  
Author(s):  
Paul Iacomi ◽  
Philip L. Llewellyn
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Surface Area ◽  
Isosteric Heat ◽  
Material Characterisation ◽  
Mixture Adsorption ◽  
Surface Energetics ◽  
Adsorption Processing ◽  
User Friendly

Material characterisation through adsorption is a widely-used laboratory technique. The isotherms obtained through volumetric or gravimetric experiments impart insight through their features but can also be analysed to determine material characteristics such as specific surface area, pore size distribution, surface energetics, or used for predicting mixture adsorption. The pyGAPS (python General Adsorption Processing Suite) framework was developed to address the need for high-throughput processing of such adsorption data, independent of the origin, while also being capable of presenting individual results in a user-friendly manner. It contains many common characterisation methods such as: BET and Langmuir surface area, t and α plots, pore size distribution calculations (BJH, Dollimore-Heal, Horvath-Kawazoe, DFT/NLDFT kernel fitting), isosteric heat calculations, IAST calculations, isotherm modelling and more, as well as the ability to import and store data from Excel, CSV, JSON and sqlite databases. In this work, a description of the capabilities of pyGAPS is presented. The code is then be used in two case studies: a routine characterisation of a UiO-66(Zr) sample and in the processing of an adsorption dataset of a commercial carbon (Takeda 5A) for applications in gas separation.

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