Technical Papers
Apr 28, 2017

A Newton-CG Augmented Lagrangian-Based Finite-Element Method for Three-Dimensional Restoration of Geological Models

Publication: International Journal of Geomechanics
Volume 17, Issue 9

Abstract

In this paper, a Newton conjugate gradient (Newton-CG) augmented Lagrangian-based finite-element method is proposed to solve elastic contact problems without friction. The contact problem is discretized by the finite-element method. Based on a minimum theorem, the contact problem is reformulated as an optimization problem with inequality constraints. Then, the Newton-CG augmented Lagrangian method is applied to solve the constrained optimization problem. Numerical experiments were performed to validate the efficiency of the proposed method.

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Acknowledgments

The authors sincerely appreciate the anonymous referees and the editor for their very helpful comments and suggestions, which greatly improved the quality of this paper. This work is supported by the Natural Science Foundation of Zhejiang Province of China under Grant LQ13A010006, the National Natural Science Foundation of China under Grant 11201382, the Youth Fund of Humanities and Social Sciences of the Ministry of Education under Grant 12YJC910008, the project of the science and technology department of Sichuan Province under Grant 2012ZR0154, and the National Major Scientific and Technological Special Project during the Thirteenth Five-year Plan Period 2016ZX05003-001 and 2017ZX05008-001.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 17Issue 9September 2017

History

Received: Apr 13, 2015
Accepted: Feb 3, 2017
Published online: Apr 28, 2017
Published in print: Sep 1, 2017
Discussion open until: Sep 28, 2017

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Authors

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Peipei Tang [email protected]
Associate Professor, School of Computing Science, Zhejiang Univ. City College, Hangzhou 310015, China. E-mail: [email protected]
Chengjing Wang [email protected]
Associate Professor, School of Mathematics, Southwest Jiaotong Univ., Chengdu 610031, China (corresponding author). E-mail: [email protected]
Xiaoxia Dai [email protected]
Associate Professor, School of Computing Science, Zhejiang Univ. City College, Hangzhou 310015, China. E-mail: [email protected]

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