Discrete element modelling of rock cutting processes interaction with evaluation of tool wear

The document presents a numerical model of rocks and soils using spherical Discrete Elements, also called Distinct Elements. The motion of spherical elements is described by means of equations of rigid body dynamics. Explicit integration in time yields high computational efficiency. Spherical elemen...

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Bibliographic Details
Authors: Rojek, Jerzy, Oñate Ibáñez de Navarra, Eugenio|||0000-0002-0804-7095, Zárate Araiza, José Francisco|||0000-0002-7344-4425, Recarey Morfa, Carlos Alexander
Format: book
Publication Date:2003
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/188710
Online Access:https://hdl.handle.net/2117/188710
Access Level:Open access
Keyword:Geotechnical engineering--Mathematical models
CIMNE Monograph
Monografía CIMNE
Enginyeria geotécnica -- Models matemàtics
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits
Description
Summary:The document presents a numerical model of rocks and soils using spherical Discrete Elements, also called Distinct Elements. The motion of spherical elements is described by means of equations of rigid body dynamics. Explicit integration in time yields high computational efficiency. Spherical elements interact among one another with contact forces, both in normal and tangential directions. Efficient contact search scheme based on the octree structures has been implemented. Special constitutive model of contact interface taking into account cohesion forces allows us to model fracture and decohesion of materials. Numerical simulation predicts wear of rock cutting tools. The developed numerical algorithm of wear evaluation allows us us to predict evolution of the shape of the tool caused by wear. Results of numerical simulation are validated by comparison with experimental data.