An approach to LEM modeling: construction, collision detection and dynamic simulation

An approach to LEM modeling: construction, collision detection and dynamic simulation

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Bibliographic Details
Main Authors: Sundaraj, Kenneth, Prof. Dr., Laugier, C, Costa, I.F.
Other Authors: kenneth@unimap.edu.my
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
Subjects:
Computer simulation
Deformation
Mathematical models
Numerical analysis
Virtual reality
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33197
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Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-33197
record_format dspace
spelling my.unimap-331972014-03-29T04:47:28Z An approach to LEM modeling: construction, collision detection and dynamic simulation Sundaraj, Kenneth, Prof. Dr. Laugier, C Costa, I.F. kenneth@unimap.edu.my Computer simulation Deformation Mathematical models Numerical analysis Virtual reality Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper presents an approach to apply the long element method (LEM), a new method for physically based simulation of deformable objects, to a general polygonal mesh. The LEM is suitable for real time simulation and virtual environment interaction. The approach implements a static solution for elastic global deformation of objects filled with fluids based on Pascal's Principle and the volume conservation. The volumes are discretised into long elements, defining meshes several order of magnitudes smaller than tetrahedral or cubic meshes. We show how these volumes are constructed when the method is applied to a general mesh. We also propose a method for collision detection when two such objects interact. Finally, we show how we can perform dynamic simulation when the physics of the objects are modeled using bulk variables: pressure, density, volume and stress. This approach is particularly interesting for real time simulation of soft tissue undergoing small deformations. 2014-03-29T04:47:28Z 2014-03-29T04:47:28Z 2001 Working Paper IEEE International Conference on Intelligent Robots and Systems, vol. 4, 2001, pages 2196 – 2201 0-7803-6612-3 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33197 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=976396&queryText%3DAn+approach+to+LEM+modeling%3A+construction%2C+collision+detection+and+dynamic+simulation 10.1109/IROS.2001.976396 en IEEE Conference Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Computer simulation
Deformation
Mathematical models
Numerical analysis
Virtual reality
spellingShingle Computer simulation
Deformation
Mathematical models
Numerical analysis
Virtual reality
Sundaraj, Kenneth, Prof. Dr.
Laugier, C
Costa, I.F.
An approach to LEM modeling: construction, collision detection and dynamic simulation
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 kenneth@unimap.edu.my
author_facet kenneth@unimap.edu.my
Sundaraj, Kenneth, Prof. Dr.
Laugier, C
Costa, I.F.
format Working Paper
author Sundaraj, Kenneth, Prof. Dr.
Laugier, C
Costa, I.F.
author_sort Sundaraj, Kenneth, Prof. Dr.
title An approach to LEM modeling: construction, collision detection and dynamic simulation
title_short An approach to LEM modeling: construction, collision detection and dynamic simulation
title_full An approach to LEM modeling: construction, collision detection and dynamic simulation
title_fullStr An approach to LEM modeling: construction, collision detection and dynamic simulation
title_full_unstemmed An approach to LEM modeling: construction, collision detection and dynamic simulation
title_sort approach to lem modeling: construction, collision detection and dynamic simulation
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33197
_version_ 1643797096863629312

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