Thermally nonlinear thermoelasticity of a one-dimensional finite domain based on the finite strain concept DOI

Jijun Luo,

Shengbin Wu,

Suxia Hou

и другие.

European Journal of Mechanics - A/Solids, Год журнала: 2022, Номер 96, С. 104726 - 104726

Опубликована: Июль 6, 2022

Язык: Английский

An intelligent computer method for vibration responses of the spinning multi-layer symmetric nanosystem using multi-physics modeling DOI
Jianli Guo,

Abdolrahim Baharvand,

Diana Tazeddinova

и другие.

Engineering With Computers, Год журнала: 2021, Номер 38(S5), С. 4217 - 4238

Опубликована: Июнь 4, 2021

Язык: Английский

Процитировано

40

Nonlinear dynamic analysis of thermally deformed beams subjected to uniform loading resting on nonlinear viscoelastic foundation DOI
Yang Wang, Jinhui Yang, Zohre Moradi

и другие.

European Journal of Mechanics - A/Solids, Год журнала: 2022, Номер 95, С. 104638 - 104638

Опубликована: Апрель 30, 2022

Язык: Английский

Процитировано

25

On the modelling of the vibration behaviors via discrete singular convolution method for a high-order sector annular system DOI
Yue Liu, Wanqiu Wang, Tao He

и другие.

Engineering With Computers, Год журнала: 2021, Номер 38(S4), С. 3631 - 3653

Опубликована: Июль 31, 2021

Язык: Английский

Процитировано

32

Tuning OER Electrocatalysts toward LOM Pathway through the Lens of Multi-Descriptor Feature Selection by Artificial Intelligence-Based Approach DOI
Haruna Adamu, Sani I. Abba,

Paul Betiang Anyin

и другие.

ACS Materials Letters, Год журнала: 2022, Номер 5(2), С. 299 - 320

Опубликована: Дек. 27, 2022

From the thermodynamic and kinetic viewpoints, oxygen evolution reaction (OER) is central to production of hydrogen through electrocatalytic water splitting process. As a result, extensive research carried out with an aim develop (preferably low cost) electrocatalysts for efficient OER reaction. Two main mechanisms, lattice mediated mechanism (LOM) adsorbate (AEM), are proposed process, but former seems be favored as latter surrounded by number discrepancies. The LOM based on oxidation reduction chemistry anions. Both from fundamental application perspectives, identification selection crucial electronic structural features rationally tune process determine rate essential remain challenge. yet, this has largely been attempted trial error (synthesis performance evaluation) approaches and, hence, tied up tediousness inefficiency. Considering availability large chemical space huge probabilities in fine-tuning attributes, use artificial intelligence (AI) can efficacious. To predict promising material that enable rational design electrocatalysts, maps have developed reactivity multiple descriptors. descriptors numerous classified into several families. Therefore, modern materials informatics technique urgently required large-scale data mining rapidly screen select best physical LOM-induced electrocatalysts. In context, feature intelligence-based approach solution such Yet our knowledge, no attempt made before following approach.

Язык: Английский

Процитировано

20

Neuro fuzzy evaluation of circular economy based on waste generation, recycling, renewable energy, biomass and soil pollution DOI
Biljana Petković,

Alireza Sadighi Agdas,

Yousef Zandi

и другие.

Rhizosphere, Год журнала: 2021, Номер 19, С. 100418 - 100418

Опубликована: Июль 28, 2021

Язык: Английский

Процитировано

25

Intelligence decision mechanism for prediction of compressive strength of self-compaction green concrete via neural network DOI

Haidong Jiang,

Guoliang Liu, Hashem Alyami

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 340, С. 130580 - 130580

Опубликована: Янв. 22, 2022

Язык: Английский

Процитировано

18

Enhancing active vibration control performances in a smart rotary sandwich thick nanostructure conveying viscous fluid flow by a PD controller DOI
Yu Zhang, Zeyu Wang, Diana Tazeddinova

и другие.

Waves in Random and Complex Media, Год журнала: 2021, Номер 34(3), С. 1835 - 1858

Опубликована: Июль 6, 2021

This is the first research on smart control and frequency analysis of a cylindrical sandwich nanoshell in framework numerical-based generalized differential quadrature method (2D-GDQM). The current nanostructure made honeycomb core piezoelectric face sheets as sensor actuator (PFSA). For modeling size-dependent nanoshell, nonlocal stress-strain gradient theory (NSGT) presented. Also, this under conveying viscous fluid, related force calculated by modified formulation Navier–Stokes. structure rotates around its axial direction. stresses strains are obtained using higher-order shear deformation (HSDT). external voltage applied to layer, Proportional-Derivative (PD) controller used for output control. Governing equations boundary conditions implementing Hamilton's principle. results show that geometry core, PD controller, velocity fluid flow, length radius ratio (L/R), have significant influence characteristics nanoshell. Another important consequence applying leads an increase critical flow nanostructure.

Язык: Английский

Процитировано

23

Buildings’ internal heat gains prediction using artificial intelligence methods DOI

Rui Liang,

Wangfei Ding,

Yousef Zandi

и другие.

Energy and Buildings, Год журнала: 2021, Номер 258, С. 111794 - 111794

Опубликована: Дек. 27, 2021

Язык: Английский

Процитировано

21

An intelligent fuzzy-based hybrid metaheuristic algorithm for analysis the strength, energy and cost optimization of building material in construction management DOI

Song Ronghui,

Ni Liangrong

Engineering With Computers, Год журнала: 2021, Номер 38(S4), С. 2663 - 2680

Опубликована: Май 22, 2021

Язык: Английский

Процитировано

20

Application of Chebyshev-based GDQ and Newmark methods to viscothermoelasticity responses of FG composite annular systems DOI
Wei Xia, Jinfeng Du, Mohammad Habibi

и другие.

Engineering Analysis with Boundary Elements, Год журнала: 2022, Номер 143, С. 28 - 42

Опубликована: Июнь 15, 2022

Язык: Английский

Процитировано

14