Journal article
LAGRANGE MULTIPLIERS IN INTRINSIC ELASTICITY
-
CIARLET, PHILIPPE G.
Department of Mathematics, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
-
CIARLET, PATRICK
Laboratoire POEMS, École Nationale Supérieure de Techniques Avancées, 32, Boulevard Victor, 75739 Paris Cedex 15, France
-
IOSIFESCU, OANA
Département de Mathématiques, Université de Montpellier II, Place Eugène Bataillon, 34095 Montpellier Cedex 5, France
-
SAUTER, STEFAN
Institut für Mathematik, Universität Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland
-
ZOU, JUN
Department of Mathematics, Lady Shaw Building, The Chinese University of Hong Kong, Shatin, Hong Kong
Published in:
- Mathematical Models and Methods in Applied Sciences. - World Scientific Pub Co Pte Lt. - 2011, vol. 21, no. 04, p. 651-666
English
In an intrinsic approach to three-dimensional linearized elasticity, the unknown is the linearized strain tensor field (or equivalently the stress tensor field by means of the constitutive equation), instead of the displacement vector field in the classical approach. We consider here the pure traction problem and the pure displacement problem and we show that, in each case, the intrinsic approach leads to a quadratic minimization problem constrained by Donati-like relations (the form of which depends on the type of boundary conditions considered). Using the Babuška-Brezzi inf-sup condition, we then show that, in each case, the minimizer of the constrained minimization problem found in an intrinsic approach is the first argument of the saddle-point of an ad hoc Lagrangian, so that the second argument of this saddle-point is the Lagrange multiplier associated with the corresponding constraints. Such results have potential applications to the numerical analysis and simulation of the intrinsic approach to three-dimensional linearized elasticity.
-
Language
-
-
Open access status
-
closed
-
Identifiers
-
-
Persistent URL
-
https://sonar.ch/global/documents/50857
Statistics
Document views: 50
File downloads: