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An augmented Lagrangian formulation to impose boundary conditions for distortion based mesh moving and curving

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10.1016/j.proeng.2017.09.820
 
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hdl:2117/114336

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Ruiz Gironès, Eloi
Gargallo Peiró, AbelMés informacióMés informacióMés informació
Sarrate Ramos, JosepMés informacióMés informacióMés informació
Roca Navarro, Francisco Javier
Document typeConference report
Defense date2017
PublisherElsevier
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectTesseract - Best Curved Adapted Meshes for Space-Time Flow Simulations (EC-H2020-715546)
Abstract
We formulate a mesh morphing technique as mesh distortion minimization problem constrained to weakly satisfy the imposed displacement of the boundary nodes. The method is devised to penalize the appearance of inverted elements during the optimization process. Accordingly, we have not equipped the method with untangling capabilities. To solve the constrained minimization problem, we apply the augmented Lagrangian technique to incorporate the boundary condition in the objective function using the Lagrangian multipliers and a penalty parameter. We have applied the proposed formulation to mesh moving and mesh curving problems. The results show that the method has the ability to deal with large displacements for 2D and 3D meshes with non-uniform sizing, and mesh curving of highly stretched 2D high-order meshes.
CitationRuiz Gironès , E., Gargallo, A., Sarrate, J., Roca, X. An augmented Lagrangian formulation to impose boundary conditions for distortion based mesh moving and curving. A: International Meshing Roundtable. "26th International Meshing Roundtable, IMR26: Barcelona, Spain: September 18-21, 2017: proceedings". Barcelona: Elsevier, 2017, p. 362-374. 
URIhttp://hdl.handle.net/2117/114336
DOI10.1016/j.proeng.2017.09.820
ISBN1877-7058
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S1877705817343837/pdf?md5=f8c09c77f6e3feab3be1bf5828bee892&pid=1-s2.0-S1877705817343837-main.pdf
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