Modified couple stress and artificial intelligence examination of nonlinear buckling in porous variable thickness cylinder micro sport structures

Mechanics of Advanced Materials and Structures, Год журнала: 2024, Номер unknown, С. 1 - 19

Опубликована: Фев. 29, 2024

This investigation focuses on the nonlinear behavior of porosity-dependent functionally graded (FG) truncated conical small-scale structures. The modified coupled stress theory, as well energy method, are applied to generate partial differential equations (PDEs) related buckling analysis simply supported nonuniform micro-cylindrical material dispersion is gradually changed along length structures between Nickel and concrete, while porosity voids scattered in radial direction, external radius structure decreases direction via mathematic applicable sports PDEs numerically solved generalized quadrature method (GDQM) with numerical iterative technique. In this particular context, aim predict results using a newly developed methodology that employs artificial neural networks (ANNs). predictions generated by approach will be compared against previously obtained data validated ensure their accuracy reliability. ANN expected provide more robust comprehensive framework for predicting results, which would helpful variety settings, from scientific research engineering applications.

Язык: Английский

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Integrating analytical and machine learning methods for investigating nonlinear bending and post-buckling behavior of 3D-printed auxetic tubes

Engineering With Computers, Год журнала: 2024, Номер unknown

Опубликована: Дек. 15, 2024

Язык: Английский

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On the energy absorption of the reinforced sandwich curved beam equipped with piezoelectric layers through ANN and MCS analyses

Mechanics of Advanced Materials and Structures, Год журнала: 2023, Номер 31(19), С. 4795 - 4804

Опубликована: Май 10, 2023

The aim of this research is to investigate the impact a viscoelastic foundation on vibration curved beam structure with clamped and simply-supported boundary conditions. considered micro-scale laminate composite made up two piezoelectric face layers carbon nanotube-reinforced core. study employs non-classical elasticity theory nonlocal strain gradient account for both nano-scale microscale effects. equations motion are derived using energy terms variational principle, conditions assumed be at one end simply supported other end. A semi-analytical method general differential quadrature used solve due their nonlinear terms. To capture effects various parameters in-plane sandwich arches, an artificial neural network designed implemented. analyzes parameters, geometrical aspect ratios, substrate constants natural frequency amplitude beam. Results show that increasing have different

Язык: Английский

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ANFIS-based forming limit prediction of stainless steel 316 sheet metals

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Фев. 22, 2023

Effect of microstructure on the formability stainless sheet metals is a major concern for engineers in industries. In case austenitic steels, existence strain-induced martensite ([Formula: see text]-martensite) their micro structure causes considerable hardening and reduction. present study, we aim to evaluate AISI 316 steels with different intensities via experimental artificial intelligence methods. first step, grade 2 mm initial thicknesses are annealed cold rolled various thicknesses. Subsequently, relative area measured using metallography tests. Formability sheets determined hemisphere punch test obtain forming limit diagrams (FLDs). The data obtained from experiments were further utilized train validate an neural fuzzy interfere system (ANFIS). After training ANFIS, predicted strains by network compared new set results. results indicate that rolling has unfavorable effects this type while significantly strengthens sheets. Moreover, ANFIS exhibits satisfactory comparison measurements.

Язык: Английский

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Effect of Folding Process on the More Accurate Vibrational Characteristics of G-ori Composite Shell

Journal of Vibration Engineering & Technologies, Год журнала: 2024, Номер unknown

Опубликована: Июль 3, 2024

Язык: Английский

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