Study on the shear strength of deep reconstituted soils

Zhao, Xiaodong; Zhou, Guoqing; Tian, Qiu-hong

doi:10.1016/s1674-5264(09)60076-4

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…The DEM model simulation presented the interlocking effect of gravel to the shear strength, and the increase of weak soil-gravel contact with GC would be limited when GC exceeds 40%. And the stronger the shear performance of the mixture [30].…”

Section: Introductionmentioning

confidence: 99%

Experiment Measurement of the Dry Density Variations and Shear Stress with the Different Depth Variations

2023

EESRR

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Evaluation of the dry density variations and shear stress with the different depth variations were shown clearly with the particular process. Results show the Dry unit weight (density) increases gradually with the increase of different depths. The biggest dry density was obtained at 1.582 g/cm3 at 18.3m depth of boreholes (“HK1, 2, and 3”); whereas the lowest value was obtained at 0.74 g/cm3 at 4.3m depth. On the other hand, the dry density changed with the constant loading process. The biggest dry density is 1.954 g/cm3 at 18.3m depth and the lowest value is 1.482 g/cm3 at 8.3m depth (before loading); The biggest value is 2.074 g/cm3 at 18.3m depth and the lowest value is 1.621 g/cm3 at 8.3m depth (after loading). Moreover, shear stress was measured carefully at different depths. At the Clay layer, the lowest value is τ1 with 0.052 kG/cm2 at 4.8m depth; whereas the biggest is τ3 with 1.750 kG/cm2 at 39.6m depth. The biggest value is τ2 with 1.276 kG/cm2 at 17.8m depth. At the Sand layer, the lowest value is τ1 with 0.586 kG/cm2 at 29.8m depth; whereas the biggest is τ3 with 1.750 kG/cm2 at 39.6m depth and τ2 with 1.21 kG/cm2 at 36.0m depth.

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Section: Introductionmentioning

confidence: 99%

Experiment Measurement of the Dry Density Variations and Shear Stress with the Different Depth Variations

2023

EESRR

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“…1200-1046 BCE). It was manufactured out of black millet and tulip grass, and utilized in sacrifice rites (Zhao & Zhou, 1998). It may be inferred that for thousands of years, people have enjoyed many named varieties of alcoholic drinks created from grains, sugarcane, and honey with additions of fruits, herbs, and spices.…”

Section: Introductionmentioning

confidence: 99%

Chemical investigation of herbal wine from Jin Yang ancient city site during the late Western Han period in China

et al. 2023

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In China, liquid residue was mostly found in sealed bronze vessels associated with alcohol drinks, which are supposed to conserve the complete composition of the beverage, including the additives. So far, most of them have not been sufficiently scientifically verified. In this study, the liquid residue in bronze jars from the late Western Han period in the burial area of Jin Yang ancient city site was investigated by GC/MS, LC–MS/MS, SEM and Raman spectroscopy. These sensitive versatile techniques had unintended consequences in addition to confirming the presence of fermentation products (monosaccharides, alditols, glycerol‐related substances and organic acids). The enrichment of oxalic acid, VLCFA (very‐long‐chain fatty acid), and alkaloids hints that multiple plants were involved in the beverage preparation. The quinazoline alkaloid products from the sediments reveal an important Rutaceae ingredient, which relates to multiple ancient spices and Chinese herbs. Therefore, the liquid residues from Jin Yang ancient city site imply that they are the earliest known herbal wine remains in East Asia to this day.

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“…Sometimes, the classification precision index is selected as the classification performance index. The higher the classification precision index is, the better the classification performance of a turbo air classifier is . In fact, these classification performance indices always limit each other, including cut size, classification precision, classification efficiency, fine powder yield, particle fineness and degree of dispersion.…”

Section: Introductionmentioning

confidence: 99%

Correspondence analysis and establishment of evaluation model of classification performance indices for a turbo air classifier

Liu

2014

Mat.-wiss. u. Werkstofftech

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The operational parameters of a turbo air classifier including feeding speed, rotor cage's rotary speed and air inlet velocity affect its classification performance directly, such as cut size, classification precision, classification efficiency, fine powder yield, particle fineness and degree of dispersion. Current methods of optimizing operational parameters and improving the classification performance of a turbo air classifier are almost single objective decision only for one of the classification performance indices. In this paper, the multi‐objective programming (MOP) model on classification performance for a turbo air classifier is established to evaluate these performance indices comprehensively and achieve optimal classification performance. To minimize the effect of repeatability within these classification performance indices, correspondence analysis is applied to determine the evaluation indices of this MOP model. According to correspondence analysis on the fine talc classification experimental data as well as the calcium carbonate classification experimental data, there is a very strong correlation between cut size and D90; there is also a very strong correlation between cut size and fine powder yield. Thus D90 and fine powder yield are filtered out and they aren't discussed in the evaluation model. The variation coefficient method is introduced to calculate weights of the evaluation function, and the dimensionless transformation method is used to eliminate the effects of different dimension. Thus, the optimal solution among the experimental data is obtained through solving the evaluation function. For the talc classification experiments, the optimal operational parameter combinations are: the feeding speed is 40 kg · h–1, the air inlet velocity is 5 m · s–1 and the rotor cage's rotary speed is 1200 ⋅ min–1. The classification performance indices are: cut size is 16.5 μm, classification precision index is 0.59, Newton classification efficiency is 57% and degree of dispersion is 2.13. For the calcium carbonate classification experiments, the optimal operational parameter combinations are: the feeding speed is 92 kg · h–1, the air inlet velocity is 12 m · s–1 and the rotor cage's rotary speed is 1200 ⋅ min–1. The classification performance indices are: cut size is 31.4 μm, classification precision index is 0.74, Newton classification efficiency is 74% and degree of dispersion is 1.27. This evaluation model avoids the limitation of evaluation for the single classification performance index and incomplete information got by the means of single factor experiment of operational parameters. It also provides the quantitative evaluating criteria for classification performance of a turbo air classifier, which offers a theoretical basis for effective production. This multi‐objective programming optimizing method and evaluation model on classification performance can be applied to other dynamic air classifiers as well.

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Study on the shear strength of deep reconstituted soils

Cited by 7 publications

References 2 publications

Experiment Measurement of the Dry Density Variations and Shear Stress with the Different Depth Variations

Experiment Measurement of the Dry Density Variations and Shear Stress with the Different Depth Variations

Chemical investigation of herbal wine from Jin Yang ancient city site during the late Western Han period in China

Correspondence analysis and establishment of evaluation model of classification performance indices for a turbo air classifier

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