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Τίτλος: The ortho-semi-torsional (OST) spring analogy method for 3D mesh moving boundary problems
Συγγραφείς: Markou, George 
Mouroutis, Z.S. 
Charmpis, D.C. 
Papadrakakis, Manolis 
Major Field of Science: Engineering and Technology
Field Category: Computer and Information Sciences;ENGINEERING AND TECHNOLOGY;Other Engineering and Technologies
Λέξεις-κλειδιά: Coupled problems;Mesh update;Solution algorithms;Preconditioned conjugate gradient
Ημερομηνία Έκδοσης: 2007
Πηγή: Computer Methods in Applied Mechanics and Engineering, 2007, vol.196, no.4-6, pp.747-765
Volume: 196
Issue: 4-6
Start page: 747
End page: 765
Περιοδικό: Computer Methods in Applied Mechanics and Engineering 
Περίληψη: In this paper a new mesh update technique is presented for the effective treatment of 3D mesh moving boundary problems. The proposed mesh update scheme utilizes an ortho-semi-torsional (OST) spring analogy concept to construct a fictitious elasticity problem with imposed boundary displacements, which is efficiently solved with an algorithm based on the preconditioned conjugate gradient (PCG) method. The PCG-based solution algorithm is also applied to three other mesh update techniques available in the literature, namely the torsional, the semi-torsional and the ball-vertex spring analogy schemes. The four spring analogy methods are comparatively assessed with respect to their robustness and computational efficiency in handling 3D benchmark problems, as well as more involved test cases such as the AGARD wing 445.6 and a 3D three-element airfoil. It is demonstrated that the OST spring analogy concept combined with a PCG-type algorithm for the solution of fictitious elasticity problems provides robustness for substantially distorted meshes and computational efficiency for large-scale problems. © 2006 Elsevier B.V. All rights reserved.
URI: https://hdl.handle.net/20.500.14279/33122
ISSN: 00457825
DOI: 10.1016/j.cma.2006.04.009
Type: Article
Affiliation: National Technical University Of Athens 
University of Cyprus 
Publication Type: Peer Reviewed
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