Minimum dry density in terms of grading entropy coordinates

Imre, E.; Barreto, D.; Datcheva, M.; Singh, V. P.; Baillie, W.; Feng, S.; Firgi, T.

Abstract

In this paper, the grading entropy method is applied together with advanced interpolation methods in order to establish empirical relationships between grading entropy coordinates and minimum dry density of sands. Three databases consisting of 94 samples (in total) of artificial mixtures of natural sands with fractal or continuous grain size distributions were used to evaluate three different types of empirical relationship. Whilst some databases have been previously published, recently acquired data has also been considered. The results show that there is a strong relationship between grading entropy coordinates and the minimum dry density.

Citation

Imre, E., Barreto, D., Datcheva, M., Singh, V. P., Baillie, W., Feng, S., & Firgi, T. (2023, August). Minimum dry density in terms of grading entropy coordinates. Presented at 17arc - 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering 2023, Astana, Kazakhstan

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 17arc - 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering 2023
• Start Date: Aug 14, 2023
• End Date: Aug 18, 2023
• Acceptance Date: Jan 21, 2023
• Online Publication Date: Aug 4, 2023
• Publication Date: 2023
• Deposit Date: Apr 20, 2024
• Publicly Available Date: Apr 22, 2024
• Publisher: CRC Press
• Pages: 402-406
• Book Title: Smart Geotechnics for Smart Societies: Proceedings of the 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (17th ARC, Astana, Kazakhstan, 14-18 August, 2023)
• DOI: https://doi.org/10.1201/9781003299127-42
• Public URL: http://researchrepository.napier.ac.uk/Output/3597230