Experimental and numerical characterization of a turbulent spray flame

2007 ◽  
Vol 31 (2) ◽  
pp. 2247-2255 ◽  
Author(s):  
I. Düwel ◽  
H.-W. Ge ◽  
H. Kronemayer ◽  
R. Dibble ◽  
E. Gutheil ◽  
...  
Keyword(s):  
Spray Flame ◽  
Numerical Characterization ◽  
Turbulent Spray

Experimental and Numerical Characterization of Lower Huron Shale as a Heterogeneous Material

2021 ◽  
Author(s):  
Ming Fan ◽  
Yanhui Han ◽  
Xinyu Tan ◽  
Liang Fan ◽  
Ellen S. Gilliland ◽  
...  
Keyword(s):  
Heterogeneous Material ◽  
Numerical Characterization

Experimental and numerical characterization of a polymeric Hopkinson bar by DTMA

2017 ◽  
Vol 103 ◽  
pp. 50-63 ◽  
Author(s):  
Marco Sasso ◽  
Michele Gabrio Antonelli ◽  
Edoardo Mancini ◽  
Mario Radoni ◽  
Dario Amodio
Keyword(s):  
Hopkinson Bar ◽  
Numerical Characterization

scholarly journals Numerical Characterization of Cohesive and Non-Cohesive ‘Sediments’ under Different Consolidation States Using 3D DEM Triaxial Experiments

Processes ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1252
Author(s):  
Hadar Elyashiv ◽  
Revital Bookman ◽  
Lennart Siemann ◽  
Uri ten Brink ◽  
Katrin Huhn
Keyword(s):  
Mechanical Response ◽  
Burial Depth ◽  
Cohesive Sediments ◽  
Third Order ◽  
First Order ◽  
Numerical Characterization ◽  
Response To Stress ◽  
Bond Strengths ◽  
Individual Bond

The Discrete Element Method has been widely used to simulate geo-materials due to time and scale limitations met in the field and laboratories. While cohesionless geo-materials were the focus of many previous studies, the deformation of cohesive geo-materials in 3D remained poorly characterized. Here, we aimed to generate a range of numerical ‘sediments’, assess their mechanical response to stress and compare their response with laboratory tests, focusing on differences between the micro- and macro-material properties. We simulated two endmembers—clay (cohesive) and sand (cohesionless). The materials were tested in a 3D triaxial numerical setup, under different simulated burial stresses and consolidation states. Variations in particle contact or individual bond strengths generate first order influence on the stress–strain response, i.e., a different deformation style of the numerical sand or clay. Increased burial depth generates a second order influence, elevating peak shear strength. Loose and dense consolidation states generate a third order influence of the endmember level. The results replicate a range of sediment compositions, empirical behaviors and conditions. We propose a procedure to characterize sediments numerically. The numerical ‘sediments’ can be applied to simulate processes in sediments exhibiting variations in strength due to post-seismic consolidation, bioturbation or variations in sedimentation rates.

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