Using pore size distribution and porosity to estimate particle size distribution by nuclear magnetic resonance
Autor: | Feng Shangxin, Zengguang Xu, Junrui Chai, Yanlong Li |
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Rok vydání: | 2020 |
Předmět: |
021110 strategic
defence & security studies Range (particle radiation) Materials science 0211 other engineering and technologies Sieve analysis 02 engineering and technology Geotechnical Engineering and Engineering Geology Instability Nuclear magnetic resonance Particle-size distribution Soil water Internal erosion Particle Porosity 021101 geological & geomatics engineering Civil and Structural Engineering |
Zdroj: | Soils and Foundations. 60:1011-1019 |
ISSN: | 0038-0806 |
DOI: | 10.1016/j.sandf.2020.05.006 |
Popis: | Soil particle size distribution (PSD) is critical for assessing the potential for internal instability of sand–gravel soils, mainly because particle migration in sand–gravel soils owing to seepage forces affects almost all soil hydraulic properties during internal erosion processes. Therefore, a reliable PSD analysis is essential for revealing the mechanism of particle migration and internal instability of sand–gravel soils. At present, however, PSD is commonly calculated by manual interpretation methods and cannot be continuously and nondestructively analyzed during internal erosion processes. Those methods are lacking, however, in that it results in a failure to continuously determine the internal erosion condition. In this paper, a new approach with the ability to continuously predict the PSD changes in sand–gravel mixtures is introduced based on one-dimensional laboratory suffusion tests in a non-destructive nuclear magnetic resonance (NMR) system over a range of suffusion times. The results show that pore expansion and particle migration are an interactive process that controls suffusion development in sand–gravel mixtures. The proposed method is verified through experimental data measured by sieve analysis, and has potential to retrieve PSD information at different suffusion times. |
Databáze: | OpenAIRE |
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