2014
DOI: 10.3221/igf-esis.29.07
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Strain gradient elasticity within the symmetric BEM formulation

Abstract: ABSTRACT. The symmetric Galerkin Boundary Element Method is used to address a class of strain gradient elastic materials featured by a free energy function of the (classical) strain and of its (first) gradient. With respect to the classical elasticity, additional response variables intervene, such as the normal derivative of the displacements on the boundary, and the work-coniugate double tractions. The fundamental solutions -featuring a fourth order partial differential equations (PDEs) system -exhibit singul… Show more

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Cited by 3 publications
(2 citation statements)
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“…Numerical investigation of pantographic structures requires the development of new techniques [18][19][20][21][22][23][24][25][26]. In addition, the proper employment of existing methods, for example [27], are used to obtain the dynamics of such a class of microstructured materials.…”
Section: Introductionmentioning
confidence: 99%
“…Numerical investigation of pantographic structures requires the development of new techniques [18][19][20][21][22][23][24][25][26]. In addition, the proper employment of existing methods, for example [27], are used to obtain the dynamics of such a class of microstructured materials.…”
Section: Introductionmentioning
confidence: 99%
“…The deficiencies of classical approaches when the material behavior exhibits size-scale effects are investigated in [59], and in [47] a novel invariance requirement (micro-randomness) in addition to isotropy is formulated, which implies conformal invariance of the curvature. The numerical investigation of structures of the type considered also requires special attention, and it is therefore important in the development of novel techniques [5][6][7][8][9]37,38,[48][49][50][51]65] or the proper employment of the existing ones (see, for instance, [68], where Galerkin boundary element method is used to address a class of strain gradient elastic materials).…”
Section: Introductionmentioning
confidence: 99%