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Sho Kimura

Researcher at University of the Ryukyus

Publications -  18
Citations -  232

Sho Kimura is an academic researcher from University of the Ryukyus. The author has contributed to research in topics: Landslide & Triaxial shear test. The author has an hindex of 6, co-authored 16 publications receiving 172 citations. Previous affiliations of Sho Kimura include Kagoshima University.

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Shearing rate effect on residual strength of landslide soils in the slow rate range

TL;DR: In this paper, the influence of shearing rate on the residual strength parameters, ϕcffff r, in landslide soils using ring-shear tests at two shearing rates (0.01 and 0.5mm/min) under selected effective normal stresses was investigated.
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Platy layer silicate minerals for controlling residual strength in landslide soils of different origins and geology

TL;DR: In this paper, the authors used a ring-shear apparatus to examine the relationship between residual strength and mineralogical properties of landslide soils and find a significant relation between the residual strength parameter, φr, and the total content of layer silicate minerals prone to preferred orientation within the bulk soil.
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Correlation of large displacement drained shear strength of landslide soils measured by direct shear and ring shear devices

TL;DR: In this article, a linear correlation of the mobilized shear strength parameters, cohesion (c, c r) and internal friction angle (Φ, Φ r) was proposed.
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Effects of overconsolidation ratios on the shear strength of remoulded slip surface soils in ring shear

TL;DR: In this paper, the effect of artificial overconsolidation ratios (OCR) on the drained shear behaviour and shear strength of a high plasticity clay soil and a loess soil has been discussed from an experimental point of view.
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Classification of Groundwater Suitability for Irrigation in the Ulagalla Tank Cascade Landscape by GIS and the Analytic Hierarchy Process

TL;DR: In this paper, the suitability of groundwater for irrigation using the analytic hierarchy process and geographical information system was evaluated using 29 wells in the Ulagalla cascade near Anuradhapura city in the dry zone of Sri Lanka, in Yala (dry) and Maha (wet) seasons, the two main cropping seasons in Sri Lanka.