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Experimental investigation of statistical characteristics of elastic mechanical parameters and strength indexes of rockfill particles.

Authors :
Guo, Yu
Chi, Shichun
Mi, Xiaofei
Yan, Shihao
Source :
Granular Matter. May2023, Vol. 25 Issue 2, p1-20. 20p.
Publication Year :
2023

Abstract

Rockfill is a common irregular granular material used in most dam construction projects. The purpose of this paper is to investigate the distribution and size-dependent properties of the mechanical parameters describing the elastic properties and crushing strength of rockfill particles. These statistics can be used as a reference to calibrate the input parameters of numerical models when studying the macroscopic behavior of rockfill with particle breakage using the discrete element method. A series of limestone particles ranging in diameter from 20 to 240 mm were measured in this study using a single particle compression test. The elastic modulus, elastic contact stiffness, tensile stress and fracture force were then determined by characterizing each experimental force–displacement curve. Classical statistical methods were used. It has been shown that Weibull, lognormal and logistic functions can all represent the distributional features of the elastic modulus, tensile stress and fracture force, with the lognormal function being the optimal type here. As the grain size increases, the elastic modulus and tensile stress decrease, while the fracture force rises. Empirical models of power functions effectively reproduced these size-dependent laws. Meanwhile, the relationship between these parameters was also established. Finally, the lognormal function was adopted to express the randomness of the maximum elastic contact stiffness. Some suggestions were made after discussing the positive association between the maximum elastic contact stiffness and grain size. Moreover, the evaluation of the loading strain rates of individual particles tested shows that the present conclusions are applicable to quasi-static case. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14345021
Volume :
25
Issue :
2
Database :
Academic Search Index
Journal :
Granular Matter
Publication Type :
Academic Journal
Accession number :
162682738
Full Text :
https://doi.org/10.1007/s10035-022-01302-x