Paper Number
PO35
Session
Poster Session
Title
Evolution of network structure and motion correlation in shear thickening dense suspensions
Presentation Date and Time
October 12, 2022 (Wednesday) 6:30
Track / Room
Poster Session / Riverwalk A
Authors
- Santra, Aritra (The City College of New York, CUNY, Levich Institute)
- Chakraborty, Bulbul (Brandeis University, Martin Fisher School of Physics)
- Morris, Jeffrey F. (CUNY City College of New York, Levich Institute and Dept. of Chemical Engineering)
Author and Affiliation Lines
Aritra Santra1, Bulbul Chakraborty2 and Jeffrey F. Morris1
1Levich Institute and Dept. of Chemical Engineering, CUNY City College of New York, New York, NY 10031; 2Martin Fisher School of Physics, Brandeis University, Waltham, MA 02453
Speaker / Presenter
Santra, Aritra
Keywords
computational methods; jammed systems; suspensions
Text of Abstract
Shear thickening and jamming transition in dense suspensions are well-known phenomena. While the shear thickening behavior is quite well studied based on analytical theory, experiments and numerical simulations, the evolution of the large-scale rigid structure near the jamming transition is not yet well understood. In this work we have studied the evolution of network structure near the shear jamming transition of 2D non-Brownian dense suspensions using LF-DEM (lubrication flow discrete element methods) simulations. Correlation functions involving the gradient direction velocity and rotational motion of the particles are used to extract a length scale associated with the non-local rigid structure of the network. We show that the existence of counter-rotating large rigid clusters and strong correlation between the motion of the particles separated by several particle diameters are key factors associated with the jamming transition. We have also investigated the rigidity of the network structure based on different network analysis tools and correlated them with the motion correlation functions.