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Pore Size Distribution

Pore Size Distribution

In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
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Updated: Mar 9, 2026

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

A user-friendly modified pore-solid fractal model.

Dian-Yuan Ding^1,2,3, Ying Zhao^1,4, Hao Feng^1,2

¹State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi 712100, P. R. China.

Scientific Reports

|December 21, 2016

Summary

This summary is machine-generated.

The modified pore-solid fractal (M-PSF) model offers a flexible approach to predicting soil water retention curves (WRC) by evaluating multiple calculation points. This fractal-based model accurately captures hysteresis effects in soil moisture, improving WRC predictions.

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Area of Science:

Soil Science
Geotechnical Engineering
Hydrology

Background:

The pore-solid fractal (PSF) model traditionally uses a single air-entry suction point, limiting its application.
Soil water retention curves (WRC) are crucial for understanding water movement in unsaturated soils.
Hysteresis in soil moisture (desorption vs. adsorption) is a complex phenomenon affecting WRC.

Purpose of the Study:

To evaluate a modified pore-solid fractal (M-PSF) model using multiple calculation points for WRC prediction.
To incorporate hysteresis effects into the PSF model based on fractal theory.
To assess the M-PSF model's performance across various soil types and suction ranges.

Main Methods:

Developed the modified pore-solid fractal (M-PSF) model.
Tested the M-PSF model with 26 soil samples from the Loess Plateau and 54 from the Unsaturated Soil Hydraulic Database.
Utilized fractal dimensions from particle size distribution for WRC prediction.

Main Results:

The M-PSF model demonstrated user-friendliness and flexibility with multiple calculation points.
The model theoretically explains hysteresis using fractal dimensions.
M-PSF showed good performance for WRC predictions at suctions between 100 cm and 1000 cm.
Accepted WRC prediction performance for different soil textures at suctions ≥100 cm.

Conclusions:

The M-PSF model provides a robust and adaptable framework for WRC prediction, accounting for hysteresis.
Fractal dimensions are effective in describing soil moisture desorption and adsorption processes.
Further research is needed to fully elucidate the role of pore characteristics in PSF theory and hysteresis.