2005
DOI: 10.1002/nme.1412
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A boundary element method for analysis of thermoelastic deformations in materials with temperature dependent properties

Abstract: SUMMARYIn this paper, the boundary element method (BEM) for solving quasi-static uncoupled thermoelasticity problems in materials with temperature dependent properties is presented. The domain integral term, in the integral representation of the governing equation, is transformed to an equivalent boundary integral by means of the dual reciprocity method (DRM). The required particular solutions are derived and outlined. The method ensures numerically efficient analysis of thermoelastic deformations in an arbitr… Show more

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Cited by 14 publications
(6 citation statements)
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“…Discretization of integral representation of Navier's equations (2), again employing the DRM, yields the system of equations [11]: The temperature dependent vector {b} on the righthand-side of (19) can be expressed as:…”
Section: Bem Formulation For Non-linear Thermoelasticitymentioning
confidence: 99%
“…Discretization of integral representation of Navier's equations (2), again employing the DRM, yields the system of equations [11]: The temperature dependent vector {b} on the righthand-side of (19) can be expressed as:…”
Section: Bem Formulation For Non-linear Thermoelasticitymentioning
confidence: 99%
“…Fahmy [2007] used boundary element method to obtain thermal stresses in a nonhomogeneous anisotropic solid. A more extensive applications of boundary element methods may be found in Matsumoto et al [2005]; Fahmy and El-Shahat [2008]; Canelas and Sensale [2010]; Karlis et al [2010]; Hou et al [2011]; Davi and Milazzo [2011]. A completely different approach to handle dynamic problems utilizing static fundamental solutions is the so-called dual reciprocity boundary element method (DRBEM).…”
Section: Introductionmentioning
confidence: 99%
“…El-Naggar, et al [1,2] proposed explicit finite difference scheme to obtain thermal stresses in a non-homogeneous media. The boundary element method is well known for its accuracy and efficiency in stress analysis (see, for example, Brebbia and Nardini [3], Wrobel and Brebbia [4], Partridge, et al [5], Divo and Kassab [6], Gaul, et al [7], Matsumoto, et al [8], Fahmy [9][10][11], Davi and Milazzo [12]).…”
Section: Introductionmentioning
confidence: 99%