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contributor authorJunxing Zheng
contributor authorRoman D. Hryciw
date accessioned2017-12-30T13:05:24Z
date available2017-12-30T13:05:24Z
date issued2016
identifier other%28ASCE%29CP.1943-5487.0000578.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245513
description abstractThe use of computational geometry methods for determining soil roundness (R) and sphericity (S) were evaluated and extended to particles segmented from images of three-dimensional particle assemblies. Two Adobe Photoshop lasso tools were used to delineate particles with full projections from the assemblies. Results were in excellent agreement with values published in traditional roundness and sphericity charts, thus confirming that the computational method can replace the much slower and less objective chart methods. Complete volume-based distributions of particle roundness and sphericity were presented for three soils with vastly different particle shapes. Values of R and S obtained from images of three-dimensional assemblies were almost indistinguishable from values obtained using images of detached particles showing their largest projected areas. Mean R values were also computed for 10 different soils of various geologic origins. As expected, crushed sands exhibited the smallest mean values of R whereas alluvial and glacio-fluvial soils showed the largest values.
publisherAmerican Society of Civil Engineers
titleRoundness and Sphericity of Soil Particles in Assemblies by Computational Geometry
typeJournal Paper
journal volume30
journal issue6
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000578
page04016021
treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 006
contenttypeFulltext


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