2014
DOI: 10.1016/j.ijsolstr.2013.11.003
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On an inverse problem for inhomogeneous thermoelastic rod

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Cited by 27 publications
(10 citation statements)
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“…The introduced functions Λ p , M p , P p , Σ p represent the averaged characteristics of the corresponding functions depending on the coordinates x 1 , x 2 . Now let us reduce the weak formulation (13) to the boundary problem statement. To do this, as the test functions, let us take the variations…”
Section: Modelling Of Vibration Of a Prestressed Plate For The Timoshmentioning
confidence: 99%
“…The introduced functions Λ p , M p , P p , Σ p represent the averaged characteristics of the corresponding functions depending on the coordinates x 1 , x 2 . Now let us reduce the weak formulation (13) to the boundary problem statement. To do this, as the test functions, let us take the variations…”
Section: Modelling Of Vibration Of a Prestressed Plate For The Timoshmentioning
confidence: 99%
“…Краевая задача (39)-(42) при произвольных законах изменения коэффициентов дифференциальных операторов может быть решена лишь численно, например, методом сведения к системе интегральных уравнений Фредгольма 2-го рода [22,23]. Для этого перейдем от краевой задачи (39)-(42) к канонической системе обыкновенных дифференциальных уравнений первого порядка с переменными коэффициентами:…”
Section: решение задачи термоэлектроупругости для неоднородного слояunclassified
“…(25) To reconstruct two thermalphysical characteristics, one should find the corrections d k; d c from the system of integral Fredholm's equations of the 1st kind (17), (25) with smooth kernels. To solve this systems, we have used the generalization of the Tikhonov method for a single equation to a system of integral equations (see Ref.…”
Section: Thermal Conductivity Problem For Functionally Graded Rodmentioning
confidence: 99%
“…At the first stage, the initial approxi- (17), (25). After the correction were found, the new approximations were built, and the iterative process was occurred as follows: k ðnÞ ðzÞ ¼ k ðnÀ1Þ ðzÞ þ d k ðnÀ1Þ ðzÞ; c ðnÞ ðzÞ ¼ c ðnÀ1Þ ðzÞ þ d c ðnÀ1Þ ðzÞ.…”
Section: Thermal Conductivity Problem For Functionally Graded Rodmentioning
confidence: 99%
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