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Francesco Marotti de Sciarra

Researcher at University of Naples Federico II

Publications -  63
Citations -  3046

Francesco Marotti de Sciarra is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Boundary value problem & Elasticity (physics). The author has an hindex of 28, co-authored 56 publications receiving 2452 citations.

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Constitutive boundary conditions and paradoxes in nonlocal elastic nanobeams

TL;DR: In this paper, it is shown that the existence of a solution of nonlocal beam elastostatic problems is an exception, the rule being non-existence for problems of applicative interest.
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Free vibrations of Bernoulli-Euler nano-beams by the stress-driven nonlocal integral model

TL;DR: In this article, the free vibrations of nano-beams are investigated by making recourse to the novel stress-driven nonlocal integral model (SDM), which provides an effective methodology to describe nonlocal phenomena in NEMS.
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Functionally graded Timoshenko nanobeams: A novel nonlocal gradient formulation

TL;DR: In this article, a first gradient non-local model of bending for Timoshenko functionally graded nanobeams based on the Eringen model is proposed, where the material properties vary in the thickness direction.
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Constitutive boundary conditions for nonlocal strain gradient elastic nano-beams

TL;DR: In this article, the authors prove the equivalence between the nonlocal strain gradient integral model of elasticity and the differential problem with boundary conditions and provide a viable approach to study size-dependent phenomena in nano-beams of applicative interest.
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Stress-driven modeling of nonlocal thermoelastic behavior of nanobeams

TL;DR: In this article, a consistent stress-driven nonlocal integral model for nonisothermal structural analysis of elastic nano-and microbeams is proposed, which is equivalent to an adequate set of differential equations, accompanied by higher-order constitutive boundary conditions, when the special Helmholtz averaging kernel is adopted in the convolution.