Discrete Element Method Simulations for Complex Granular Flows

By Yu Guo, J. Curtis. 2015

325 citations recorded by the source corpus.

Subfields: Computational Mechanics, Management, Monitoring, Policy and Law, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/29b54a31561b69b705bf2550348ddad21abafeec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Karel Matous
2. Ha H. Bui
3. Cuong Tan Nguyen
4. Ryoichi Fukagawa
5. Giang D. Nguyen
6. Chi Thanh Nguyen
7. Andrew Gillman
8. Mgd Marc Geers

In Management, Monitoring, Policy and Law

1. Karel Matous
2. Ha H. Bui
3. Cuong Tan Nguyen
4. Ryoichi Fukagawa
5. Giang D. Nguyen
6. Chi Thanh Nguyen
7. Andrew Gillman
8. Mgd Marc Geers

In Mechanical Engineering

1. Mgd Marc Geers
2. V. Kouznetsova
3. Karel Matous
4. Andrew Gillman
5. W. Brekelmans

Citations in the corpus

• A new SPH-based approach to simulation of granular flows using viscous damping and stress regularisation (2017, methodology): “…granular flows (Cleary and Sawley 2002; Staron and Hinch 2005, 2007; Zenit 2005; Lacaze et al. 2008; Krabbenhoft et al. 2012; Girolami et al. 2012; Guo and Curtis 2014; Utili et al. 2015; Kermani et al. 2015), and a comprehensive understanding of the flow mechanism (e.g., the initiating general…”
• A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials (2017, methodology): “In other cases, complete discrete models are used as well, like microstructural lattice models or particle based models [43].”