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Dynamic analysis of electrorheological fluid sandwich cylindrical shells with functionally graded face sheets using a semi-analytical approach
, Article Composite Structures ; Volume 295 , 2022 ; 02638223 (ISSN) ; Haddadpour, H ; Shakhesi, S ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
The present research is performed to calculate the natural frequencies, loss factors, and associated mode shapes of a sandwich cylinder with moderately thick functionally graded (FG) face sheets and an electrorheological (ER) fluid core. Each face sheet is assumed to be made of FG materials, and its displacement field is estimated based on the first-order shear deformation theory, like the ER constrained layer. A suitable displacement continuity condition is considered between layers. The ER fluid used in the central middle is analyzed in the pre-yield area and considered electric field dependent. Hamilton's principle is used to acquire the motion equations related to each layer and...
Nonlinear dynamics of viscoelastic pipes conveying fluid placed within a uniform external cross flow
, Article Applied Ocean Research ; Volume 94 , 2020 ; Haddadpour, H ; Hosseini Kordkheili, S. A ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
This paper investigates the nonlinear dynamic response of a viscoelastic pipe conveying fluid subjected to a uniform external cross flow based on the Euler-Bernoulli theory. The main objective of this work is to find the proper viscoelastic coefficients to mitigate the dynamic response of a marine riser. A nonlinear oscillator is utilized to simulate the mean drag force and the vortex-induced lift force. Also, the pipe material is assumed to be viscoelastic and consisted of the Kelvin-Voigt type. The extended Hamilton's principle along with the Galerkin discretization are employed to construct the nonlinear model of the coupled fluid-structure system. Moreover, the assumed mode method along...
Stability of Fractional Viscoelastic Pipes Conveying Fluid in the External Cross Flow
, M.Sc. Thesis Sharif University of Technology ; Hosseini Kordkhaili, Ali (Supervisor) ; Haddadpour, Hassan (Co-Advisor)
Abstract
In this thesis, the dynamic behavior of a pinned-pinned fractional viscoelastic pipe conveying fluid is examined in the external cross flow. The Galerkin method is employed to discretize the nonlinear coupled equations of motion for viscoelastic pipe conveying fluid in the external cross flow. Consequently, four modes of system are obtained. In addition, direct perturbation method of multiple scale is used to solve the governing nonlinear coupled equations of motion for the fractional viscoelastic pipe conveying pulsating fluid in the external cross flow. Moreover, time response diagrams are drawn in order to investigate under effects of the internal fluid velocity, external fluid reduced...
Experimental investigation on improvement of wet cooling tower efficiency with diverse packing compaction using ann-pso algorithm
, Article Energies ; Volume 14, Issue 1 , 2021 ; 19961073 (ISSN) ; Soltani, M ; Shahali, P ; Moradi Kashkooli, F ; Larizadeh, R ; Raahemifar, K ; Adibi, M ; Ghasemi, B ; Sharif University of Technology
MDPI AG
2021
Abstract
In this study, a numerical and empirical scheme for increasing cooling tower performance is developed by combining the particle swarm optimization (PSO) algorithm with a neural network and considering the packing’s compaction as an effective factor for higher accuracies. An experimental setup is used to analyze the effects of packing compaction on the performance. The neural network is optimized by the PSO algorithm in order to predict the precise temperature difference, efficiency, and outlet temperature, which are functions of air flow rate, water flow rate, inlet water temperature, inlet air temperature, inlet air relative humidity, and packing compaction. The effects of water flow rate,...
Experimental investigation on improvement of wet cooling tower efficiency with diverse packing compaction using ann-pso algorithm
, Article Energies ; Volume 14, Issue 1 , 2021 ; 19961073 (ISSN) ; Soltani, M ; Shahali, P ; Moradi Kashkooli, F ; Larizadeh, R ; Raahemifar, K ; Adibi, M ; Ghasemi, B ; Sharif University of Technology
MDPI AG
2021
Abstract
In this study, a numerical and empirical scheme for increasing cooling tower performance is developed by combining the particle swarm optimization (PSO) algorithm with a neural network and considering the packing’s compaction as an effective factor for higher accuracies. An experimental setup is used to analyze the effects of packing compaction on the performance. The neural network is optimized by the PSO algorithm in order to predict the precise temperature difference, efficiency, and outlet temperature, which are functions of air flow rate, water flow rate, inlet water temperature, inlet air temperature, inlet air relative humidity, and packing compaction. The effects of water flow rate,...