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Investigation of safety attitude on passenger vehicle type choice: An integrated choice and latent variable (ICLV) approach
, Article IATSS Research ; Volume 45, Issue 3 , 2021 , Pages 336-346 ; 03861112 (ISSN) ; Kermanshah, M ; Moeinaddini, A ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Passenger Vehicle Type Choice (PVTC) has an undeniable impact on crash severity and costs. To estimate that, one must carefully consider subjective factors as well as objective ones. Ignoring the role of subjective variables can cause bias in the estimation of the effective variables' coefficients. The present paper investigates the impact of safety attitude, transportation attitude, and lifestyle on PVTC in a bi-level structure. To do so, we used the data from 633 face-to-face interviews conducted in Iran. The passenger vehicles investigated in this study are divided into five categories according to their weight and safety performance: mini, compact, medium, large, and sport utility...
The Effect of Process Variables on Boric Acid Production
, M.Sc. Thesis Sharif University of Technology ; Halali, Mohammad (Supervisor) ; Askari, Masoud (Supervisor)
Abstract
In the present project, in order to be self-sufficient and optimal use of boron mines in Iran, a study entitled “The effect of process variables on the production of boric acid” has been conducted, This project has two main objectives: the first objective is the production of boric acid from boron sources and mines in Iran and the second objective is to analyze the effect of variables such as temperature, time, acid concentration, solid to liquid ratio and particle size on the purity of boric acid produced. And finally achieve the optimal conditions for the production of boric acid.In this study, boric acid was made from leaching hydrobracite (magnesium-calcium ore with boron) with sulfuric...
Optimization of fuel core loading pattern design in a VVER nuclear power reactors using Particle Swarm Optimization (PSO)
, Article Annals of Nuclear Energy ; Volume 36, Issue 7 , 2009 , Pages 923-930 ; 03064549 (ISSN) ; Boroushaki, M ; Lucas, C ; Sharif University of Technology
2009
Abstract
The two main goals in core fuel loading pattern design optimization are maximizing the core effective multiplication factor (Keff) in order to extract the maximum energy, and keeping the local power peaking factor (Pq) lower than a predetermined value to maintain fuel integrity. In this research, a new strategy based on Particle Swarm Optimization (PSO) algorithm has been developed to optimize the fuel core loading pattern in a typical VVER. The PSO algorithm presents a simple social model by inspiration from bird collective behavior in finding food. A modified version of PSO algorithm for discrete variables has been developed and implemented successfully for the multi-objective optimization...
Heat transfer optimization of twin turbulent sweeping impinging jets
, Article International Journal of Thermal Sciences ; Volume 146 , 2019 ; 12900729 (ISSN) ; Mahmoudabadbozchelou, M. A ; Afshin, H ; Sharif University of Technology
Elsevier Masson SAS
2019
Abstract
In this study, a numerical investigation is carried out to reveal the potential of obtaining uniform cooling on a planar surface by impinging jets in a turbulent flow regime using the SST k−ω turbulence model. Twin turbulent sweeping impinging jets (TTSIJ), as an idealization of an array of jets, are considered for heat transfer with the planar target surface. Unlike other studies that focused on a few effective parameters or limited the impinging jets to certain conditions, in this study, a more general investigation is performed to clarify the effects of all influential parameters on heat transfer. To this end, the effects of 8 design variables namely Reynolds number, the jet-to-target...