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Bin Shi

Researcher at Nanjing University

Publications -  308
Citations -  9653

Bin Shi is an academic researcher from Nanjing University. The author has contributed to research in topics: Water content & Geology. The author has an hindex of 39, co-authored 242 publications receiving 6206 citations. Previous affiliations of Bin Shi include Hohai University & University of North Carolina at Charlotte.

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Strength and mechanical behavior of short polypropylene fiber reinforced and cement stabilized clayey soil

TL;DR: In this article, the effects of discrete short polypropylene fiber (PP-fiber) on the strength and mechanical behavior of uncemented and cemented clayey soil were investigated.
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Effect of polypropylene fibre and lime admixture on engineering properties of clayey soil

TL;DR: In this article, the influence of the mixture of polypropylene fiber and lime on the engineering properties of a clay-ey soil was investigated and analyzed through scanning electron microscopy (SEM) analysis of the specimens after shearing.
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Influencing factors of geometrical structure of surface shrinkage cracks in clayey soils

TL;DR: In this paper, the authors investigated the effects of temperature, thickness of soil layer, wetting and drying cycles and soil types on geometrical structure of surface shrinkage cracks in clayey soils.
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Interfacial shear strength of fiber reinforced soil

TL;DR: In this paper, the authors evaluated the factors affecting the interfacial strength properties of polypropylene fiber (PP-fiber) reinforced soil by using a modified special apparatus and found that the designed pull-out test is an efficient method to qualitatively obtain the inter-surface peak strength (IPS) and interfacial residual strength (IRS) of fiber/soil.
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Experimental characterization of shrinkage and desiccation cracking in thin clay layer

TL;DR: Wang et al. as discussed by the authors investigated water evaporation, volume shrinkage, surface crack initiation and propagation processes during the whole drying period with application of image processing technique, the geometric or morphological characteristics of crack patterns were quantitatively described.