Quantifying void ratio in granular materials using Voronoi tessellation

Journal of Computing in Civil Engineering

Volumn 15, Issue 3, 2001, Pages 232-238

  Alshibli, Khalid A ^a,b   El Saidany, Hany A ^c  

^a ASCE ^*  (United States)

^b SOUTHERN UNIVERSITY   (United States)

^c QUALCOMM INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ODA METHOD; VOID RATIO DISTRIBUTION; VORONOI TESSELLATION;

ALGORITHMS; CALCULATIONS; GRANULAR MATERIALS; IMAGE PROCESSING; SOILS;

SOIL TESTING;

EID: 0035399241     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0887-3801(2001)15:3(232)     Document Type: Article

References (19)

1. Dot pattern processing using Voronoi neighborhoods
2. Sand shear band thickness measurements by digital imaging techniques
3. Frequency distribution of void ratio of granular materials determined by an image analyzer
4. Automatic image analysis in evaluation of aggregate shape
5. Studies on the monotonic and cylic behavior of sands
6. Automated determination of the distribution of local void ratio from digital images
7. Soil particle size distribution by mosaic imaging and watershed analysis
8. Measurement of particle movement in granular soils using image analysis
9. Three-dimensional image analysis of aggregate particles from orthogonal projections
10. Fabric-property relationships in fine granular materials
11. Internal structure characterization of asphalt concrete using image analysis
12. Initial fabrics and their relations to mechanical properties of granular material
13. The mechanisms of fabric changes during compressional deformation of sand
14. Fabrics and their effects on the deformation behaviors of sand
15. Computer vision technique for tracking bed load movement
16. SURVEY: Systematic triangulations