Environmental problems are intensifying due to the rapid growth of the population,industry,and urban infrastructure.This expansion has resulted in increased air and water pollution,intensified urban heat island effect...Environmental problems are intensifying due to the rapid growth of the population,industry,and urban infrastructure.This expansion has resulted in increased air and water pollution,intensified urban heat island effects,and greater runoff from parks and other green spaces.Addressing these challenges requires prioritizing green infrastructure and other sustainable urban development strategies.This study introduces a novel Integrated Decision Support System that combines Pythagorean Fuzzy Sets with the Advanced Alternative Ranking Order Method allowing for Two-Step Normalization(AAROM-TN),enhanced by a dual weighting strategy.The weighting approach integrates the Criteria Importance Through Intercriteria Correlation(CRITIC)method with the Criteria Importance through Means and Standard Deviation(CIMAS)technique.The originality of the proposed framework lies in its ability to objectively quantify criteria importance using CRITIC,incorporate decision-makers’preferences through CIMAS,and capture the uncertainty and hesitation inherent in human judgment via Pythagorean Fuzzy Sets.A case study evaluating green infrastructure alternatives in metropolitan regions demonstrates the applicability and effectiveness of the framework.A sensitivity analysis is conducted to examine how variations in criteria weights affect the rankings and to evaluate the robustness of the results.Furthermore,a comparative analysis highlights the practical and financial implications of each alternative by assessing their respective strengths and weaknesses.展开更多
The purpose of this investigation is to theoretically shed some light on the effect of the unsteady electroosmotic flow(EOF)of an incompressible fractional secondgrade fluid with low-dense mixtures of two spherical na...The purpose of this investigation is to theoretically shed some light on the effect of the unsteady electroosmotic flow(EOF)of an incompressible fractional secondgrade fluid with low-dense mixtures of two spherical nanoparticles,copper,and titanium.The flow of the hybrid nanofluid takes place through a vertical micro-channel.A fractional Cattaneo model with heat conduction is considered.For the DC-operated micropump,the Lorentz force is responsible for the pressure difference through the microchannel.The Debye-H¨ukel approximation is utilized to linearize the charge density.The semianalytical solutions for the velocity and heat equations are obtained with the Laplace and finite Fourier sine transforms and their numerical inverses.In addition to the analytical procedures,a numerical algorithm based on the finite difference method is introduced for the given domain.A comparison between the two solutions is presented.The variations of the velocity heat transfer against the enhancements in the pertinent parameters are thoroughly investigated graphically.It is noticed that the fractional-order parameter provides a crucial memory effect on the fluid and temperature fields.The present work has theoretical implications for biofluid-based microfluidic transport systems.展开更多
A class of nonlinear problems with real parameters is defined. Generally, in this class of problems, when the parametric values are very large, the problems become ill-posed and numerical difficulties are encountered ...A class of nonlinear problems with real parameters is defined. Generally, in this class of problems, when the parametric values are very large, the problems become ill-posed and numerical difficulties are encountered when trying to solve these problems. In this paper, the nonlinear problems are reformulated to overcome the numerical difficulties associated with large parametric values. A novel iterative algorithm, which is suitable for large scale problems and can be easily parallelized, is proposed to solve the reformulated problems. Numerical tests indicate that the proposed algorithm gives stable solutions. Convergence properties of the proposed algorithm are investigated. In the limiting case, when the corresponding constraint is exactly satisfied, the proposed method is equivalent to the standard augmented Lagrangian method.展开更多
Unsteady boundary layer flow induced by alternating current(AC)or direct current(DC)electric field through a porous layer is investigated numerically.The finite difference method based on Crank-Nicolson is applied to ...Unsteady boundary layer flow induced by alternating current(AC)or direct current(DC)electric field through a porous layer is investigated numerically.The finite difference method based on Crank-Nicolson is applied to solve the nonlinear system.The governing equations are built with fractional shear stress and the Cattaneo heat flux model,and time fractional derivatives are computed using the Caputo fractional derivative.The numerical results are presented to demonstrate the effects of varying parameters on momentum and thermal boundary layer.The results reveal that the time delay in the velocity profile occurs for larger values of both the velocity fractional derivative parameter and the velocity relaxation time due to the molecules colliding and interacting,thereby exchanging momentum to achieve a new equilibrium.Additionally,factors such as permeability,magnetic field strength(Hartmann number),Grashof number,and Biot number are shown to significantly influence fluid movement,heat convection,and temperature gradients within the boundary layer.This insight is of paramount importance in engineering applications such as enhanced oil recovery,geothermal reservoir management,and advanced cooling systems,where precise control of fluid dynamics and heat transfer is essential for optimizing performance and resource utilization.展开更多
Cavity magnomechanics has recently become a new platform for studying macroscopic quantum phenomena.The magnetostriction induced vibration mode of a large-size ferromagnet or ferrimagnet reaching its ground state repr...Cavity magnomechanics has recently become a new platform for studying macroscopic quantum phenomena.The magnetostriction induced vibration mode of a large-size ferromagnet or ferrimagnet reaching its ground state represents a genuine macroscopic quantum state.Here we study the ground-state cooling of the mechanical vibration mode in a cavity magnomechanical system,and focus on the role of magnon squeezing in improving the cooling efficiency.The magnon squeezing is obtained by exploiting the magnon self-Kerr nonlinearity.We find that the magnon squeezing can significantly and even completely suppress the magnomechanical Stokes scattering.It thus becomes particularly useful in realizing ground-state cooling in the unresolved-sideband regime,where the conventional sideband cooling protocols become inefficient.We also find that the coupling to the microwave cavity plays only an adverse effect in mechanical cooling.This makes essentially the two-mode magnomechanical system(without involving the microwave cavity)a preferred system for cooling the mechanical motion,in which the magnon mode is established by a uniform bias magnetic field and a microwave drive field.展开更多
基金supported by the Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2026R259)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.Ashit Kumar Dutta would like to thank AlMaarefa University for supporting this research under project number MHIRSP2025017.
文摘Environmental problems are intensifying due to the rapid growth of the population,industry,and urban infrastructure.This expansion has resulted in increased air and water pollution,intensified urban heat island effects,and greater runoff from parks and other green spaces.Addressing these challenges requires prioritizing green infrastructure and other sustainable urban development strategies.This study introduces a novel Integrated Decision Support System that combines Pythagorean Fuzzy Sets with the Advanced Alternative Ranking Order Method allowing for Two-Step Normalization(AAROM-TN),enhanced by a dual weighting strategy.The weighting approach integrates the Criteria Importance Through Intercriteria Correlation(CRITIC)method with the Criteria Importance through Means and Standard Deviation(CIMAS)technique.The originality of the proposed framework lies in its ability to objectively quantify criteria importance using CRITIC,incorporate decision-makers’preferences through CIMAS,and capture the uncertainty and hesitation inherent in human judgment via Pythagorean Fuzzy Sets.A case study evaluating green infrastructure alternatives in metropolitan regions demonstrates the applicability and effectiveness of the framework.A sensitivity analysis is conducted to examine how variations in criteria weights affect the rankings and to evaluate the robustness of the results.Furthermore,a comparative analysis highlights the practical and financial implications of each alternative by assessing their respective strengths and weaknesses.
基金the Taif University Researchers Supporting Project of Taif University of Saudi Arabia (No. TURSP-2020/96)
文摘The purpose of this investigation is to theoretically shed some light on the effect of the unsteady electroosmotic flow(EOF)of an incompressible fractional secondgrade fluid with low-dense mixtures of two spherical nanoparticles,copper,and titanium.The flow of the hybrid nanofluid takes place through a vertical micro-channel.A fractional Cattaneo model with heat conduction is considered.For the DC-operated micropump,the Lorentz force is responsible for the pressure difference through the microchannel.The Debye-H¨ukel approximation is utilized to linearize the charge density.The semianalytical solutions for the velocity and heat equations are obtained with the Laplace and finite Fourier sine transforms and their numerical inverses.In addition to the analytical procedures,a numerical algorithm based on the finite difference method is introduced for the given domain.A comparison between the two solutions is presented.The variations of the velocity heat transfer against the enhancements in the pertinent parameters are thoroughly investigated graphically.It is noticed that the fractional-order parameter provides a crucial memory effect on the fluid and temperature fields.The present work has theoretical implications for biofluid-based microfluidic transport systems.
文摘A class of nonlinear problems with real parameters is defined. Generally, in this class of problems, when the parametric values are very large, the problems become ill-posed and numerical difficulties are encountered when trying to solve these problems. In this paper, the nonlinear problems are reformulated to overcome the numerical difficulties associated with large parametric values. A novel iterative algorithm, which is suitable for large scale problems and can be easily parallelized, is proposed to solve the reformulated problems. Numerical tests indicate that the proposed algorithm gives stable solutions. Convergence properties of the proposed algorithm are investigated. In the limiting case, when the corresponding constraint is exactly satisfied, the proposed method is equivalent to the standard augmented Lagrangian method.
基金Sara I.Abdelsalam expresses her deep gratitude to Fundación Mujeres porÁfrica for supporting this work through the fellowship awarded to her。
文摘Unsteady boundary layer flow induced by alternating current(AC)or direct current(DC)electric field through a porous layer is investigated numerically.The finite difference method based on Crank-Nicolson is applied to solve the nonlinear system.The governing equations are built with fractional shear stress and the Cattaneo heat flux model,and time fractional derivatives are computed using the Caputo fractional derivative.The numerical results are presented to demonstrate the effects of varying parameters on momentum and thermal boundary layer.The results reveal that the time delay in the velocity profile occurs for larger values of both the velocity fractional derivative parameter and the velocity relaxation time due to the molecules colliding and interacting,thereby exchanging momentum to achieve a new equilibrium.Additionally,factors such as permeability,magnetic field strength(Hartmann number),Grashof number,and Biot number are shown to significantly influence fluid movement,heat convection,and temperature gradients within the boundary layer.This insight is of paramount importance in engineering applications such as enhanced oil recovery,geothermal reservoir management,and advanced cooling systems,where precise control of fluid dynamics and heat transfer is essential for optimizing performance and resource utilization.
基金supported by Zhejiang Province Program for Science and Technology(2020C01019)the National Natural Science Foundation of China(U1801661,11874249,11934010,12174329).
文摘Cavity magnomechanics has recently become a new platform for studying macroscopic quantum phenomena.The magnetostriction induced vibration mode of a large-size ferromagnet or ferrimagnet reaching its ground state represents a genuine macroscopic quantum state.Here we study the ground-state cooling of the mechanical vibration mode in a cavity magnomechanical system,and focus on the role of magnon squeezing in improving the cooling efficiency.The magnon squeezing is obtained by exploiting the magnon self-Kerr nonlinearity.We find that the magnon squeezing can significantly and even completely suppress the magnomechanical Stokes scattering.It thus becomes particularly useful in realizing ground-state cooling in the unresolved-sideband regime,where the conventional sideband cooling protocols become inefficient.We also find that the coupling to the microwave cavity plays only an adverse effect in mechanical cooling.This makes essentially the two-mode magnomechanical system(without involving the microwave cavity)a preferred system for cooling the mechanical motion,in which the magnon mode is established by a uniform bias magnetic field and a microwave drive field.
