2015
DOI: 10.4172/2168-9873.1000202
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Lacking Data Recovery via Partially Overdetermined Boundary Conditions in Linear Elasticity

Abstract: This work focuses on the sub-Cauchy problem for linear elasticity in two dimentional case. Solving such a problem may be formulated as follows: given the displacement and one component of the traction in a given part of the boundary of the elastic body, reconstruct the displacement field in all the domain. Author propose herein, an iterative method borrowed from the domain decomposition communauty to solve the sub-Cauchy problem. Numerical results highlight the efficiency of the proposed method.

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Cited by 2 publications
(4 citation statements)
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“…In order to numerically recover the shear stress, we resort to the same approach proposed in [8] that we briefly present herein. This part is concerned with the Steklov-Poincaré operator carried out to solve the sub-Cauchy problem (11) which is nothing more than a data completion problem.…”
Section: Shear Stress Reconstructionmentioning
confidence: 99%
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“…In order to numerically recover the shear stress, we resort to the same approach proposed in [8] that we briefly present herein. This part is concerned with the Steklov-Poincaré operator carried out to solve the sub-Cauchy problem (11) which is nothing more than a data completion problem.…”
Section: Shear Stress Reconstructionmentioning
confidence: 99%
“…Motivated by the recent results of [8] obtained to recover lacking boundary data via partially overdetermined boundary data and results of [5] obtained to identify cavities from overdetermined boundary data; both results obtained in linear elasticity, we are concerned in this work with a geometrical inverse problem related to the identification of cavities in mechanical structures from partially overdetermined boundary data.…”
Section: Introductionmentioning
confidence: 99%
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“…The quasi-reversibility method was also investigated [10,26]. We can refer also to the method of fundamental solution [11,42], variational Steklov-Poincaré theory [7,8], alternating iterative methods [13,37,38,46], optimal control formulation [12], regularization methods [6,45] and boundary element method [31,32].…”
Section: Introductionmentioning
confidence: 99%