2019
DOI: 10.17794/rgn.2019.4.9
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A New Approach for Particle Size Characterization of Soil Based on Dynamic Image Analysis (Dia)

Abstract: Particle size distribution (PSD) affects soil behaviour and plays a main role in geotechnical engineering. In site investigations of large engineering structures, in earthquakes and liquefaction research and before filter material selection, it is necessary to make a number of PSD analyses. There are two popular techniques to determine PSD in the lab: sieving for the coarse-grained samples and hydrometer analysis for fine-grained samples. However, determining the PSD of soil in the lab has some challenges such… Show more

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Cited by 3 publications
(2 citation statements)
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“…The analysis can then be estimated by summing the probabilities of all potential sequences of parameters that determine the liquefaction, which involves combination in the liquefaction domain. The grain size parameter taken from the CPT data is important to determine accomplishment in calculating the liquefaction probability (Tabrizi-Zarringhabaei et al, 2019). This study uses the MLR and ANN approaches to obtain the good quality assessment of the FC value from several available geotechnical parameters.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis can then be estimated by summing the probabilities of all potential sequences of parameters that determine the liquefaction, which involves combination in the liquefaction domain. The grain size parameter taken from the CPT data is important to determine accomplishment in calculating the liquefaction probability (Tabrizi-Zarringhabaei et al, 2019). This study uses the MLR and ANN approaches to obtain the good quality assessment of the FC value from several available geotechnical parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, in order to prevent the explosion of coal dust, adequate studies and investigations of the mechanism of coal dust explosion should be carried out (Ranganathan et al, 2018). The explosion index of coal dust depends on various parameters, including environmental conditions and inherent characteristics of coal dust (Moradi et al, 2019). Moisture content is one of the most important factors in dust explosion studies (Yu et al, 2012).…”
Section: Introductionmentioning
confidence: 99%