2014
DOI: 10.1016/j.compstruc.2014.01.007
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The method of fundamental solutions for an inverse boundary value problem in static thermo-elasticity

Abstract: The inverse problem of coupled static thermo-elasticity in which one has to determine the thermo-elastic stress state in a body from displacements and temperature given on a subset of the boundary is considered.A regularized method of fundamental solutions is employed in order to find a stable numerical solution to this ill-posed, but linear coupled inverse problem. The choice of the regularization parameter is based on the L-curve criterion. Numerical results are presented and discussed.

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Cited by 33 publications
(20 citation statements)
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“…It should be mentioned that the TSVD solution (35) can also be expressed analogously to the TRM and DSVD solutions given by equations (32) and (33), respectively, by defining the corresponding filter factors ϕ…”
Section: Svd-based Regularization Methodsmentioning
confidence: 99%
“…It should be mentioned that the TSVD solution (35) can also be expressed analogously to the TRM and DSVD solutions given by equations (32) and (33), respectively, by defining the corresponding filter factors ϕ…”
Section: Svd-based Regularization Methodsmentioning
confidence: 99%
“…The fundamental solution for tractions can be obtained by first calculating the fundamental solutions of stresses and then applying the definition of the traction vector as given by Equation Tij(boldy,boldx)=c1r2[]c2()r,inj(boldy)r,jni(boldy)+r,knk(boldy)()c2δij+3r,ir,j. In the traditional MFS , the displacements and tractions can be approximated by a linear combination of fundamental solutions with respect to different source points x as follows: ui(ym)=n=1NαjnUij(ym,xn)=n=1Nα1nUi1(ym,xn)+α2nUi2(ym,xn)+α3nUi3(ym,xn)…”
Section: Mfs Formulation For 3d Elasticity Problemsmentioning
confidence: 99%
“…A regularized MFS has been proposed by the authors for solving the problem given by equations (2.1), (2.2), (2.7), (2.8) and (2.12) in [22] and the problem given by equations (2.1), (2.2), (2.10)-(2.12) in [16] and it is the purpose of the present study to develop the same method for solving the new inverse problem given by equations (2.1), (2.2), (2.7)-(2.9). One can remark that both these inverse problems can also be solved iteratively by minimizing the least squares gap…”
Section: Mathematical Formulationmentioning
confidence: 99%