Loading...
Search for:
parvin-darabad--vahid
0.114 seconds
Total 346 records
Distribution of seismic damage in steel buildings component equipped by viscoelastic dampers against far-field earthquake
, Article Shock and Vibration ; Volume 2021 , 2021 ; 10709622 (ISSN) ; Hassanpour Yasaghi, A ; Khodaei, B ; Zarei, R ; Sharif University of Technology
Hindawi Limited
2021
Abstract
Damage to structures with the concept of inelastic behavior and consequently hysteresis energy is very close. Therefore, it can be said that hysteresis energy at these levels can be a significant criterion for designing or controlling the structure. In this research, the first three steel frames of 4, 8, and 12 floors with the medium bending frame system have been designed with the statically equivalent method according to valid international regulations; then, all frames have been subjected to nonlinear dynamic analysis by seven accelerometers. The purpose of this study is to investigate the distribution of damage, energy, relative displacement, roof displacement, and base shear in the...
An efficient partial discharge pattern recognition method using texture analysis for transformer defect models
, Article International Transactions on Electrical Energy Systems ; Volume 28, Issue 7 , February , 2018 ; 20507038 (ISSN) ; Saniei, M ; Vakilian, M ; Mortazavi, S. S ; Parvin Darabad, V ; Sharif University of Technology
John Wiley and Sons Ltd
2018
Abstract
Partial discharge (PD) measurement is one of the best methods for condition monitoring of transformers. In this paper, we use 5 different types of defects as follows: scratch on winding insulation, bubble in oil, moisture in insulation paper, a very small free metal particle in the transformer tank, and a fixed sharp metal point on the transformer tank, for our PD-related studies. Each type of defect is implemented into 1 of the 5 identical transformer models, which had been developed in the authors' recent work. The continuous wavelet transform is applied to each related measured time-domain PD signals. This process results in an image, for each PD pulse in the time-frequency domain. Using...
Data Mining on Partial Discharge Signals of Power Transformer’s Defect Models
, Ph.D. Dissertation Sharif University of Technology ; Vakilian, Mehdi (Supervisor) ; Phung, Bao Toan (Co-Advisor) ; Blackburn, Trevor (Co-Advisor)
Abstract
In this thesis the goal is to use data Mining techniques for finding features of different Partial discharges happen in power transformer insulation defect models in order to monitor the insulation condition of in-service power transformers continuously and on-line and to identify any type of insulation defect in power transformers at the early stage of formation.For this purpose, power transformer Insulation defects are modeled physically and partial discharge current pulses are recorded as Partial discharge data.Tow format of data are investigated, in first one, recorded data in one power frequency cycle are explored and in second one, individual PD pulses are considered for study.In...
Data mining on partial discharge signals of power transformer's defect models
, Article 2010 45th International Universities' Power Engineering Conference, UPEC 2010, Cardiff, 31 August 2010 through 3 September 2010 ; 2010 ; 9780956557025 (ISBN) ; Vakilian, M ; Sharif University of Technology
2010
Abstract
Partial discharge (PD) is a common phenomenon which occurs in insulation of high voltage equipments, such as; transformers and has a damaging effect on the insulation. If data mining techniques be used to find specifications and features of different types of partial discharges in power transformers, one can monitor the insulation condition of such equipment online and continuously. Those results can be employed to develop preventive measures more exactly and consequently the maintenance would require less time and cost for electric utility and improve the life time expectancy of the transformers. In this paper experiments are set up to create models for some types of PD that occurs in Power...
Investigation of flexural capacity of concrete containing liquid silicone rubber
, Article Shock and Vibration ; Volume 2021 , 2021 ; 10709622 (ISSN) ; Parvin Darabad, Y ; Sharif University of Technology
Hindawi Limited
2021
Abstract
Despite the great use of concrete, tensile strength and low flexibility and brittleness are its weaknesses. Many solutions have been provided to eliminate the mentioned defects. In order to increase the flexibility of concrete in previous studies, crushed rubber tire particles have been added to concrete. Recycling car tires helps the environment and makes concrete much more flexible than regular concrete. In this research, silicone rubber has been replaced by 0%, 2%, 4%, 8%, 12.5%, 25%, and 50% of mineral aggregates. This rubber was initially in liquid form, which, after mixing with ordinary concrete, dispersed into the concrete texture and formed a uniform mixture, and this liquid rubber...
Optimal Satellite Aided Capture of Spacecraft Around Jupiter
, M.Sc. Thesis Sharif University of Technology ; Asadian, Nima (Supervisor)
Abstract
In this thesis, satellite aided capture of spacecraft around Jupiter is optimized with the final goal of capture into a circular orbit around Europa. The cost functions of the multi-objective optimization process that should be minimized are: 1) summation of the propulsive ΔVs, 2) the total duration of the capture scenario, and 3) the integral flux of the energetic electrons and protons during the maneuvers. In this study, the spacecraft trajectory is modeled by patched conics method and is optimized by metaheuristic methods of genetic algorithm and simulated annealing. In some cases, interior point method is used for improving the final converged solution. Due to the limitations of...
Analitical and Numerical Investigation of Mechanical Response of Steel Cable
, M.Sc. Thesis Sharif University of Technology ; Kazemi, Mohammad Taghi (Supervisor)
Abstract
Although many aspects of helical strand have been carried out, there are still some situations which need more studies. Based on previous studies of wire rope the constitutive equations regarding the rope tension and torque to the rope deformations are carried out. In which constitutive constants depend on both the rope material and geometry of the rope. Equations of motion for straghit rope loaded simultaneously in tension and torque are derived, and with using extensional-torsional deformations in both side of the rope, dynamic stiffness matrix is derived. Some experimental results and currently models are compared with my research model numerically. Finally, mechanic response of helically...
Modelling the temperature rise effect through high-pressure torsion
, Article Materials Science and Technology (United Kingdom) ; Volume 32, Issue 12 , 2016 , Pages 1218-1222 ; 02670836 (ISSN) ; Kazeminezhad, M ; Sharif University of Technology
Taylor and Francis Ltd
2016
Abstract
An approach composed of the thermodynamics-based dislocation model and the Taylor theory is used to investigate the evolution of microstructure and flow stress during high-pressure torsion (HPT). The incremental temperature rise is considered through the modelling of HPT. The temperature can affect the annihilation of dislocations and thus the dislocation density. The model predicts the dislocation density, sub-grain size and flow stress during HPT. The modelling results are compared with the experimental data and the modelling results without considering the incremental temperature rise. A remarkable agreement is observed between the modelling results with considering the temperature rise...
Two-internal variable thermodynamics modelling of severe plastic deformation: Dislocation and flow stress evolutions
, Article Materials Science and Technology (United Kingdom) ; Volume 31, Issue 14 , Jan , 2015 , Pages 1788-1793 ; 02670836 (ISSN) ; Kazeminezhad, M ; Sharif University of Technology
Maney Publishing
2015
Abstract
Two-internal variable thermodynamics model is presented to investigate the evolution of microstructure and flow stress during severe plastic deformation. Previous studies have shown that due to heterogeneous distribution of dislocations during severe plastic deformation, the use of multivariable models is needed. In this regard, a two-internal variable model is presented. In the present paper, the dislocation densities in the subgrain boundaries and interiors are considered as internal variables. The model uses general laws of thermodynamics and describes the evolution of the dislocation densities on the basis of parameters such as the self-diffusion activation energy and the stacking fault...
Dependency modeling of steady state grain size on the stacking fault energy through severe plastic deformation
, Article Materials Letters ; Volume 159 , November , 2015 , Pages 410-412 ; 0167577X (ISSN) ; Kazeminezhad, M ; Sharif University of Technology
Elsevier
2015
Abstract
Recent investigations have shown that the steady state grain size of severely deformed materials is dependent on the stacking fault energy. In this paper, a model is presented to investigate such a dependency which uses thermodynamics based calculations. The present model shows that the relationship between the steady state grain size and the stacking fault energy of material is in power law form, directly. Furthermore, the model shows that the steady state grain size has an exponential relationship with the self-diffusion activation energy and a decrease in the self-diffusion activation energy increases the steady state grain size. The model predictions are in good agreement with the...
Limiting grain size through high-pressure torsion of different materials
, Article Materials Science and Technology (United Kingdom) ; Volume 36, Issue 2 , 2020 , Pages 245-250 ; Kazeminezhad, M ; Sharif University of Technology
Taylor and Francis Ltd
2020
Abstract
The main goal of high-pressure torsion (HPT) process is to reduce the grain size. Experiments have shown that this aim is achievable, but there is a limit in reducing the grain size. The present paper investigates this limit through a thermodynamics-based model. However, this was investigated by other researches through dislocation density-based model. At first, the validity of the model in description of the limiting grain size obtainable by HPT of different materials is examined. Then, the influence of inherent material parameters is investigated. Finally, the present results are compared with those obtained by equal channel angular pressing. © 2019, © 2019 Institute of Materials, Minerals...
Strength evolution during accumulative roll bonding of the metal matrix composite
, Article Journal of Materials Research and Technology ; Volume 24 , 2023 , Pages 1513-1523 ; 22387854 (ISSN) ; Kazeminezhad, M ; Sharif University of Technology
Elsevier Editora Ltda
2023
Abstract
The strength evolution during the processing/cycling of the metal matrix composite through accumulative roll bonding (ARB) as a severe plastic deformation method is studied by performing a twofold model. It is shown that the strength evolution during cycling consists of two parts: monolithic-like behavior and composite-like behavior. The contribution of each behavior is obtained. The particle effectiveness is at the lowest value at the beginning of the cycling and reaches its highest during the final cycles. It is shown that there is a critical strain at which monolithic-like behavior initiates to decline. The process also shows a minimum strain at which composite-like behavior dominates. ©...
Production of Copper-Graphene Nanocomposites Via Molecular Level Mixing, Evaluation of the Effect of Some Processing Parameters on Micro-Structure and Physical-Mechanical Properties
, M.Sc. Thesis Sharif University of Technology ; Abachi, Parvin (Supervisor)
Abstract
This research aimed at production of Cu-rGO via the combination of Molecular-Level-Mixing (MLM) method and powder metallurgy route (PM). First, Cu-GO composite powder was produced via MLM method. Subsequently, the resultant powder was mixed with electrolytic copper powder.Synthesis process included adjustment of the solution containing copper sulfate and 2Na.EDTA using NaOH solution. In the next step, GO suspension was added to the aforementioned solution. Finally, reduction of copper powder and formation of nanocomposite powder completed via the addition of Sodium Borohydrate. Nanocomposite powder was washed and dried in vacuum oven in 70˚C. GO reduction process took place using a tube...
Simulation, Control and Dynamic Process Intensification of Heat Integrated Binary Distillation Columns
, M.Sc. Thesis Sharif University of Technology ; Vafa, Ehsan (Supervisor)
Abstract
In light of rising energy costs and restricted access to energy resources, enhancing energy efficiency in process industries has become increasingly important. One effective method for reducing energy consumption in chemical industries is the use of thermal integration in distillation columns. This study examines the thermal integration of a benzene-toluene distillation column with the aim of analyzing and improving energy performance from a dynamic intensification perspective. Initially, the internal thermal integration of the distillation column was modeled. Subsequently, a mathematical analysis of the model was conducted to identify conditions of multiplicity. Following this, steady-state...
Modeling the effect of Mg addition on microstructure and strength of aluminum during severe plastic deformation
, Article Journal of Materials Research and Technology ; Volume 28 , 2024 , Pages 3013-3024 ; 22387854 (ISSN) ; Kazeminezhad, M ; Sharif University of Technology
2024
Abstract
Although Al–Mg alloys have various desirable properties, to broaden the applications, it is needed to increase the strength of these alloys. Severe plastic deformation (SPD) is a candidate method for this purpose. In this paper, a model is presented for the strength and microstructure evolution during severe plastic deformation. The model is applied to 5 Al–Mg alloys with different solute contents of 1, 2, 3, 4, and 5 wt% Mg. The model is also employed for pure Al for the sake of comparison. The model evaluates the effectiveness of Mg addition, quantitatively. It is shown that the combining of solute addition and severe plastic deformation can provide a considerable increase in the strength...
Modeling the Effect of Stacking Fault Energy on Severe Plastic Deformation of Metals
, M.Sc. Thesis Sharif University of Technology ; Kazeminezhad, Mohsen (Supervisor)
Abstract
Nowadays, modeling the deformation behavior of materials is an indispensable tool to describe the evolutions of microstructure and mechanical properties of materials during deformation. As previous investigations have shown, the dislocation density is the most appropriate parameter for investigating the deformation behaviour of materials. In present research, considering the effect of stacking fault energy (SFE), the deformation behavior is investigated. In this regard, at first a thermodynamics based modeling of deformation is presented. Previous studies have shown that due to heterogeneous distribution of dislocations during severe plastic deformation, it is needed to use multi-variable...
Developing Dislocation Density Based Model for Severe Plastic Deformation Considering Strengthening Mechanism
, Ph.D. Dissertation Sharif University of Technology ; Kazeminezhad, Mohsen (Supervisor)
Abstract
In recent years, severe plastic deformation has received significant attention as a technique for improving the mechanical properties of materials. In this regard, modeling the deformation behavior of materials during severe plastic deformation is of importance. As previous investigations have shown, dislocation density is one of the most applicable parameters for the mentioned purpose. On the other hand, strengthening mechanisms and the presence of strengthening agents in the material are important metallurgical phenomena that can play a significant role during severe plastic deformation. In this regard, the present research investigates the development of a dislocation density-based model...
An efficient diagnosis method for data mining on single PD pulses of transformer insulation defect models
, Article IEEE Transactions on Dielectrics and Electrical Insulation ; Volume 20, Issue 6 , 2013 , Pages 2061-2072 ; 10709878 (ISSN) ; Vakilian, M ; Phung, B. T ; Blackburn, T. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2013
Abstract
Reviewing the various Partial Discharges (PD data mining researches which have been reported so far, this study compares the performance of different feature spaces and different classifiers employed for PD classification in insulation condition monitoring of power transformers. In this process, first a knowledge basis is developed through construction of 4 different types of PD models in the high voltage laboratory. Background noise is considered as one class in this knowledge basis. The high frequency time domain current signals of high voltage equipment are captured over one power frequency cycle. The single PD activities within this captured signal are extracted by application of a...
An efficient PD data mining method for power transformer defect models using SOM technique
, Article International Journal of Electrical Power and Energy Systems ; Volume 71 , October , 2015 , Pages 373-382 ; 01420615 (ISSN) ; Vakilian, M ; Blackburn, T. R ; Phung, B. T ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
Suggestion and application of a set of new features for on-line Partial Discharge (PD) monitoring, where there is no information about the type of PD is a challenging task for condition assessment of power equipments, such as a power transformer. This is looked for in this paper. So far, in past various techniques have been employed to develop a comprehensive PD monitoring system, however limited success has been achieved. One of the challenging issues in this field is the discovering of proper features capable of differentiating the involvement of possible types of PD sources. In order to examine the efficiency of the method established in this paper, which is based on application of a set...
Pressure dependence of the small-signal gain and saturation intensity of a copper vapor laser
, Article Applied Optics ; Volume 42, Issue 6 , 2003 , Pages 1013-1018 ; 1559128X (ISSN) ; Sadighi, R ; Parvin, P ; Sharif University of Technology
2003
Abstract
The small-signal gain coefficient and the saturation intensity of a copper vapor laser have been measured for both 510.6- and 578.2-nm transitions through the implementation of a discharge driven oscillatoramplifier configuration. Pressure dependence of the gain and saturation property of the laser has been investigated. © 2003 Optical Society of America