A stable and efficient meshfree Galerkin method with consistent integration schemes for strain gradient thin beams and plates
Citation
Source Title
ISSN
Faculty
School
Collection
Abstract
© 2020 Elsevier Ltd
The strain gradient (SG) theory, incorporating with thin beam and plate models, can effectively describe size effects of micro- and nano-structures. However, since these models are determined by a sixth-order partial differential equation that requires the C2 continuity of deflection in a Galerkin weak form, it is difficult to make stable and efficient numerical analysis. In this paper, a meshfree Galerkin method is presented for SG thin beams and plates. To satisfy the continuity and convergence requirement, moving least square or reproducing kernel shape functions are employed with cubic approximation bases. To pass the patch test, integration constraints are derived and consistent integration schemes are proposed with nodal smoothed derivatives instead of standard ones on evaluating points. Numerical results show that consistent integration is superior to the standard Gauss integration in convergence, accuracy and efficiency.
Related items
Showing items related by title, author, creator and subject.
-
Howell, Richard; Lucey, Anthony (2012)We study a new fundamental system that comprises a cantilevered thin flexible plate exactly aligned with the direction of a uniform flow in which the upstream end of the flexible plate is not fixed. Instead, it is attached ...
-
Wang, B.B.; Lu, Chunsheng ; Fan, C.Y.; Zhao, M.H. (2021)In this paper, a meshfree Galerkin approach is presented for analysis of free vibration and buckling of a strain gradient thin plate. A cubic moving least square or reproducing kernel approximation with C2 continuity is ...
-
Moy, C.K.S.; Ostinelli, A.; Ranzi, G.; Ansourian, P. (2013)In steel framed building construction, it is common to have the slab cast on steel decking and the headed stud shear connectors welded through thin high-strength profiled sheeting to the top flange of the steel. They are ...