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

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

et al.

Engineering With Computers, Journal Year: 2021, Volume and Issue: 38(S5), P. 4217 - 4238

Published: June 4, 2021

Language: Английский

Citations

Nonlinear dynamic analysis of thermally deformed beams subjected to uniform loading resting on nonlinear viscoelastic foundation DOI

Yang Wang, Jinhui Yang, Zohre Moradi

et al.

European Journal of Mechanics - A/Solids, Journal Year: 2022, Volume and Issue: 95, P. 104638 - 104638

Published: April 30, 2022

Language: Английский

Citations

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

et al.

Engineering With Computers, Journal Year: 2021, Volume and Issue: 38(S4), P. 3631 - 3653

Published: July 31, 2021

Language: Английский

Citations

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

et al.

ACS Materials Letters, Journal Year: 2022, Volume and Issue: 5(2), P. 299 - 320

Published: Dec. 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.

Language: Английский

Citations

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

et al.

Rhizosphere, Journal Year: 2021, Volume and Issue: 19, P. 100418 - 100418

Published: July 28, 2021

Language: Английский

Citations

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

Haidong Jiang,

Guoliang Liu, Hashem Alyami

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 340, P. 130580 - 130580

Published: Jan. 22, 2022

Language: Английский

Citations

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

et al.

Waves in Random and Complex Media, Journal Year: 2021, Volume and Issue: 34(3), P. 1835 - 1858

Published: July 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.

Language: Английский

Citations

Buildings’ internal heat gains prediction using artificial intelligence methods DOI

Rui Liang,

Wangfei Ding,

Yousef Zandi

et al.

Energy and Buildings, Journal Year: 2021, Volume and Issue: 258, P. 111794 - 111794

Published: Dec. 27, 2021

Language: Английский

Citations

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, Journal Year: 2021, Volume and Issue: 38(S4), P. 2663 - 2680

Published: May 22, 2021

Language: Английский

Citations

Application of Chebyshev-based GDQ and Newmark methods to viscothermoelasticity responses of FG composite annular systems DOI

Wei Xia, Jinfeng Du, Mohammad Habibi

et al.

Engineering Analysis with Boundary Elements, Journal Year: 2022, Volume and Issue: 143, P. 28 - 42

Published: June 15, 2022

Language: Английский

Citations