Finite element analyses of single particle crushing tests incorporating computed tomography imaging and damage mechanics
- Univ. of Tennessee, Knoxville, TN (United States); Univ. of Arkansas, Little Rock, AR (United States)
- Univ. of Tennessee, Knoxville, TN (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Fracture of individual grains within a granular assembly affect the strength and deformation behavior of granular materials under large stress states. Interparticle forces, leading to contact stresses and ultimately fracture initiation, are influenced by particle morphology. A numerical method that incorporates both particle fracture and morphology can provide a more accurate model of a granular material’s macro-scale response. This research investigates an approach to modeling fracture initiation and propagation within individual grains, utilizing high resolution X-ray computed tomography (CT) imaging to consider grain morphology and an explicit finite element code optimized for high performance computing which incorporates damage mechanics. Using precisely measured force-displacement curves from single particle crushing tests of manufactured quartz spheres, the method is validated, and the effects of fracture properties on grain fragmentation are determined. This approach is then used to simulate single particle crushing of Ottawa sand, with grain morphology incorporated through discretized CT images. Here the effect of grain orientation on the force and applied displacement at catastrophic splitting is also explored. The proposed discrete particle based finite element framework can be applied to modeling granular assemblies, considering the effect of individual particle shape and fracture on the assembly’s deformation response through well calibrated numerical simulations.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); Defense Threat Reduction Agency (DTRA)
- Grant/Contract Number:
- AC52-07NA27344; HDTRA1-12-10045
- OSTI ID:
- 1874539
- Report Number(s):
- LLNL-JRNL-835927; 1055135
- Journal Information:
- Computers and Geotechnics, Vol. 115; ISSN 0266-352X
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Meso-scale framework for modeling granular material using computed tomography
An Integrated Multiscale Experimental-Numerical Analysis on Reconsolidation of Salt-Clay Mixture for Disposal of Heat-Generating Waste (Final NEUP Technical Report)