Paper Info
Title
MCA-Based Animation of Fracturing Heterogeneous Objects
Abstract
Existing techniques for animation of object fracture have a basic assumption that the object materials are homogeneous while most materials in real world are heterogeneous. To solve this problem, we introduce a novel method called MCA to simulate the fracture of heterogeneous materials. The method of movable cellular automata (MCA) is based on the discrete concept and provides advantages both of classical cellular automaton and discrete element methods. First, the object is represented as discrete sphere particles, named movable cellular automata, and then the MCA method is used to simulate the material and physical properties as well as to determine when and where the fracture occurs. To meet the real-time requirement, the MCA simulation is performed on GPU with CUDA in order to accelerate the complex calculation of automata's physical properties. After simulation, the results are directly sent to the vertex buffer object (VBO) for rendering to avoid the costly communication between CPU and GPU. The experimental results show the feasibility and effectiveness of the proposed method.
Year
DOI
Venue
2011
10.1109/CAD/Graphics.2011.52
CAD/Graphics
Keywords
Field
DocType
object fracture,vertex buffer object,heterogeneous,discrete element methods,novel method,movable cellular automaton,virtual reality,physical property,gpu,discrete sphere particles,computer animation,discrete element method,object materials,fracture,cuda,heterogeneous materials fracture,vbo,cellular automata,animation,object fracture animation,movable cellular automata,mca-based animation,fracturing heterogeneous objects,object material,mca simulation,mca based animation,mca method,real time,cellular automaton,physical properties
Cellular automaton,CUDA,Computer science,Theoretical computer science,Computational science,Artificial intelligence,Complex calculation,Computer vision,Vertex (geometry),Automaton,Animation,Computer animation,Rendering (computer graphics)
Conference
ISBN
Citations 
PageRank 
978-1-4577-1079-7
2
0.54
References 
Authors
17
6
Name
Order
Citations
PageRank
Jiangfan Ning151.66
Huaxun Xu2242.39
Bo Wu320.54
Liang Zeng4112.59
Sikun Li522444.71
Yueshan Xiong634618.12