2020
DOI: 10.15625/0866-7136/14706
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Large displacements of FGSW beams in thermal environment using a finite element formulation

Abstract: The large displacements of functionally graded sandwich (FGSW) beams in thermal environment  are studied using a finite element formulation. The beams are composed of three layers, a homogeneous core and two functionally graded face sheets with volume fraction of constituents following a power gradation law. The material properties of the beams are considered to be temperature-dependent.  Based on Antman beam model and the total Lagrange formulation, a two-node nonlinear beam element taking the effect of tempe… Show more

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Cited by 1 publication
(2 citation statements)
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“…The beam element based on the above linear interpolation functions, however encounters the shear locking problem [4]. In order to overcome this problem, the reduced integration technique, namely one-point Gauss quadrature, is employed herewith to evaluate the strain energy of the element.…”
Section: Total Lagrange Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…The beam element based on the above linear interpolation functions, however encounters the shear locking problem [4]. In order to overcome this problem, the reduced integration technique, namely one-point Gauss quadrature, is employed herewith to evaluate the strain energy of the element.…”
Section: Total Lagrange Formulationmentioning
confidence: 99%
“…For nonlinear analysis of sandwich beams, Nguyen and Tran [3] performed a large displacement analysis of functionally graded (FG) sandwich beams and frames using a co-rotational Euler-Bernoulli beam element. Hoai et al [4] derived a nonlinear finite beam element for studying the large displacements of FG sandwich beams, considering the effect of environment temperature rise. The influence of various homogenization schemes on large deflections of dual-phase FG sandwich beams is investigated by Nguyen et al [5] using a nonlinear finite element procedure.…”
Section: Introductionmentioning
confidence: 99%