Classical contact detection algorithms for 3D DEM simulations: Drawbacks and solutions

The present paper sheds new light on ongoing drawbacks of three classical algorithms dedicated to initial contact detection between overlapping convex polyhedra, (i) Cundall’s common plane, (ii) Nezami’s fast common plane and (iii) Gilbert-Johnson-Keerthi’s algorithm (GJK). Solutions to these drawba...

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Published inComputers and geotechnics Vol. 114; p. 103134
Main Authors Descantes, Yannick, Tricoire, Fabien, Richard, Patrick
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.10.2019
Elsevier BV
Elsevier
Subjects
Online AccessGet full text
ISSN0266-352X
1873-7633
1873-7633
DOI10.1016/j.compgeo.2019.103134

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Abstract The present paper sheds new light on ongoing drawbacks of three classical algorithms dedicated to initial contact detection between overlapping convex polyhedra, (i) Cundall’s common plane, (ii) Nezami’s fast common plane and (iii) Gilbert-Johnson-Keerthi’s algorithm (GJK). Solutions to these drawbacks are suggested and implemented into revised versions of those three algorithms, which are further benchmarked for accuracy and speed using nine overlapping contact situations. The benchmarking results show that the revised version of GJK, called GJK-TD, and Nezami (revised) return values of the contact normal components and overlap depth which are identical to machine precision, whereas Cundall (revised) results differ beyond the ninth decimal place. Furthermore, for a given contact situation, GJK-TD returns those values within a few tens of microseconds on average, whereas Nezami (revised) and Cundall (revised) are respectively 6 and 65 times more computationally intense. It is believed that the robustness and efficiency of GJK-TD will boost its use into DEM simulations, all the more that this versatile algorithm may easily be customized to detect contact between convex polyhedra and spheroid particles.
AbstractList The present paper sheds new light on ongoing drawbacks of three classical algorithms dedicated to initial contact detection between overlapping convex polyhedra, (i) Cundall's common plane, (ii) Nezami's fast common plane and (iii) Gilbert-Johnson-Keerthi's algorithm (GJK). Solutions to these drawbacks are suggested and implemented into revised versions of those three algorithms, which are further benchmarked for accuracy and speed using nine overlapping contact situations. The benchmarking results show that the revised version of GJK, called GJK T D, and Nezami (revised) return values of the contact normal components and overlap depth which are identical to machine precision, whereas Cundall (revised) results differ beyond the ninth decimal place. Furthermore, for a given contact situation, GJK-TD returns those values within a few tens of microseconds on average, whereas Nezami (revised) and Cundall (revised) are respectively 6 and 65 times more computationally intense. It is believed that the robustness and efficiency of GJK-TD will boost its use into DEM simulations, all the more that this versatile algorithm may easily be customized to detect contact between convex polyhedra and spheroid particles.
The present paper sheds new light on ongoing drawbacks of three classical algorithms dedicated to initial contact detection between overlapping convex polyhedra, (i) Cundall’s common plane, (ii) Nezami’s fast common plane and (iii) Gilbert-Johnson-Keerthi’s algorithm (GJK). Solutions to these drawbacks are suggested and implemented into revised versions of those three algorithms, which are further benchmarked for accuracy and speed using nine overlapping contact situations. The benchmarking results show that the revised version of GJK, called GJK-TD, and Nezami (revised) return values of the contact normal components and overlap depth which are identical to machine precision, whereas Cundall (revised) results differ beyond the ninth decimal place. Furthermore, for a given contact situation, GJK-TD returns those values within a few tens of microseconds on average, whereas Nezami (revised) and Cundall (revised) are respectively 6 and 65 times more computationally intense. It is believed that the robustness and efficiency of GJK-TD will boost its use into DEM simulations, all the more that this versatile algorithm may easily be customized to detect contact between convex polyhedra and spheroid particles.
ArticleNumber 103134
Author Tricoire, Fabien
Descantes, Yannick
Richard, Patrick
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Keywords Polyhedra
DEM simulation
Granular material
Algorithm
Contact detection
DETECTION DE CONTACT
CALCUL
METHODES PAR ELEMENTS DISCRETS
POLYHEDRA
ALGORITHM
MATERIAU
MATERIAU GRANULAIRE
POLYEDRES
CONTACT DETECTION
ALGORITHME
DETECTION
GRANULAR MATERIAL
DISCRETE ELEMENT METHOD SIMULATION
Language English
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Snippet The present paper sheds new light on ongoing drawbacks of three classical algorithms dedicated to initial contact detection between overlapping convex...
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StartPage 103134
SubjectTerms Algorithm
Algorithms
Computer simulation
Contact detection
DEM simulation
Detection
Engineering Sciences
Granular material
Materials
Polyhedra
Robustness (mathematics)
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Title Classical contact detection algorithms for 3D DEM simulations: Drawbacks and solutions
URI https://dx.doi.org/10.1016/j.compgeo.2019.103134
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