Geometric Over-Constraints Detection: A Survey
Article dans une revue avec comité de lecture
Auteur
HU, Hao
3209 Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS]
24050 Tsinghua University [Beijing] [THU]
50243 School of Electrical and Electronic Engineering [EEE]
234666 Sans affiliation
245619 Department of Photonics Engineering [Lyngby]
300689 Indiana University [Bloomington]
395452 Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes [LAAS-ROC]
3209 Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS]
24050 Tsinghua University [Beijing] [THU]
50243 School of Electrical and Electronic Engineering [EEE]
234666 Sans affiliation
245619 Department of Photonics Engineering [Lyngby]
300689 Indiana University [Bloomington]
395452 Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes [LAAS-ROC]
ZHANG, Chao
554513 Département Communications & Electronique [COMELEC]
563936 Institut Polytechnique de Paris [IP Paris]
1051117 Laboratoire des signaux et systèmes [L2S]
1063463 Université Clermont Auvergne [UCA]
1063677 Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
26646 Institut de recherches sur la catalyse et l'environnement de Lyon [IRCELYON]
31214 Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] [LaMCoS]
103641 Institut für Mineralogie [Hannover]
128119 Polytechnic institute of New York University [NYU-Poly]
300813 China Agricultural University [CAU]
303062 University of Science and Technology of China [Hefei] [USTC]
313820 Hubei University
465414 Central South University [Changsha]
554441 Communications Numériques [COMNUM]
554513 Département Communications & Electronique [COMELEC]
563936 Institut Polytechnique de Paris [IP Paris]
1051117 Laboratoire des signaux et systèmes [L2S]
1063463 Université Clermont Auvergne [UCA]
1063677 Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
26646 Institut de recherches sur la catalyse et l'environnement de Lyon [IRCELYON]
31214 Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] [LaMCoS]
103641 Institut für Mineralogie [Hannover]
128119 Polytechnic institute of New York University [NYU-Poly]
300813 China Agricultural University [CAU]
303062 University of Science and Technology of China [Hefei] [USTC]
313820 Hubei University
465414 Central South University [Changsha]
554441 Communications Numériques [COMNUM]
ZHAO, Qian
194938 Institut des Sciences Chimiques de Rennes [ISCR]
207869 Laboratoire d'Innovation Thérapeutique [LIT]
462491 Department of Mathematics, Pusan National University
194938 Institut des Sciences Chimiques de Rennes [ISCR]
207869 Laboratoire d'Innovation Thérapeutique [LIT]
462491 Department of Mathematics, Pusan National University
Date
2021-05-11Journal
Archives of Computational Methods in EngineeringRésumé
Currently, geometric over-constraints detection is of major interest in several diferent felds. In terms of product development
process (PDP), many approaches exist to compare and detect geometric over-constraints, to decompose geometric systems, to
solve geometric constraints systems. However, most approaches do not take into account the key characteristics of a geometric
system, such as types of geometries, diferent levels at which a system can be decomposed e.g numerical or structural. For
these reasons, geometric over-constraints detection still faces challenges to fully satisfy real needs of engineers. The aim of
this paper is to review the state-of-the-art of works involving with geometric over-constraints detection and to identify pos sible research directions. Firstly, the paper highlights the user requirements for over-constraints detection when modeling
geometric constraints systems in PDP and proposes a set of criteria to analyze the available methods classifed into four
categories: level of detecting over-constraints, system decomposition, system modeling and results generation. Secondly, it
introduces and analyzes the available methods by grouping them based on the introduced criteria. Finally, it discusses pos sible directions and future challenges.
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