Variational geometric modeling with black box constraints and DAGs
dc.contributor.author
hal.structure.identifier | GOUATY, Gilles
|
dc.contributor.author
hal.structure.identifier | FANG, Lincong
|
dc.contributor.author
hal.structure.identifier | MICHELUCCI, Dominique
|
dc.contributor.author | DANIEL, Marc |
dc.contributor.author | RAFFIN, Romain |
dc.contributor.author
hal.structure.identifier | LANQUETIN, Sandrine
|
dc.contributor.author
hal.structure.identifier | NEVEU, Marc
|
dc.contributor.author
hal.structure.identifier | PERNOT, Jean-Philippe
|
dc.date.accessioned | 2016 |
dc.date.available | 2017 |
dc.date.issued | 2016 |
dc.date.submitted | 2016 |
dc.identifier.issn | 0010-4485 |
dc.identifier.uri | http://hdl.handle.net/10985/11350 |
dc.description.abstract | CAD modelers enable designers to construct complex 3D shapes with high-level B-Rep operators. This avoids the burden of low level geometric manipulations. However a gap still exists between the shape that the designers have in mind and the way they have to decompose it into a sequence of modeling steps. To bridge this gap, Variational Modeling enables designers to specify constraints the shape must respect. The constraints are converted into an explicit system of mathematical equations (potentially with some inequalities) which the modeler numerically solves. However, most of available programs are 2D sketchers, basically because in higher dimension some constraints may have complex mathematical expressions. This paper introduces a new approach to sketch constrained 3D shapes. The main idea is to replace explicit systems of mathematical equations with (mainly) Computer Graphics routines considered as Black Box Constraints. The obvious difficulty is that the arguments of all routines must have known numerical values. The paper shows how to solve this issue, i.e., how to solve and optimize without equations. The feasibility and promises of this approach are illustrated with the developed DECO (Deformation by Constraints) prototype. |
dc.description.sponsorship | The authors would like to thank the two French Institutes Carnot ARTS and Carnot STAR for their support to this research project. Lincong Fang thanks for their support the National Natural Science Foundation of China (No. 61272300), the Zhejiang Provincial Natural Science Foundation of China (LQ13F020003) and the China Scholarship Council. |
dc.language.iso | en |
dc.publisher | Elsevier |
dc.rights | Post-print |
dc.subject | Black box constraints |
dc.subject | Constraints |
dc.subject | DAG |
dc.subject | Direct search methods |
dc.subject | First order methods |
dc.subject | Variational geometric modeling |
dc.title | Variational geometric modeling with black box constraints and DAGs |
ensam.embargo.terms | 6 months |
dc.identifier.doi | 10.1016/j.cad.2016.02.002 |
dc.typdoc | Article dans une revue avec comité de lecture |
dc.localisation | Centre de Aix en Provence |
dc.subject.hal | Informatique: Modélisation et simulation |
dc.subject.hal | Sciences de l'ingénieur: Mécanique |
dc.subject.hal | Sciences de l'ingénieur: Mécanique: Génie mécanique |
ensam.audience | Internationale |
ensam.page | 1-12 |
ensam.journal | Computer-Aided Design |
ensam.volume | 75-76 |
ensam.peerReviewing | Oui |
hal.description.error | {"duplicate-entry":{"hal-01281351":{"doi":"1.0"}}} |
hal.status | unsent |