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dehnavi--mehdi
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Numerical Study of the Effect of Liquefaction-Induced Lateral Spreading on a group of piles
, M.Sc. Thesis Sharif University of Technology ; Haeri, Mohsen (Supervisor)
Abstract
The behavior of pile foundations under earthquake loading is an important issue that affects the performance of structures. Design procedures have been developed for evaluating pile behavior under earthquake loading; however, the application of these procedures to cases involving liquefiable ground is uncertain. The performance of piles in liquefied soil layers is much more complex than that of non-liquefying soil layers because not only the superstructure and the surrounding soil exert different dynamic loads on pile, but also the stiffness and shear strength of surrounding soil diminishes over time due to both non-linear behavior of soil and pore water pressure generation. In this...
Removal of Heavy Metal Ions and Wastewater Treatment by Using the Electrocoagulation Process
, M.Sc. Thesis Sharif University of Technology ; Ghasemian, Saloumeh (Supervisor)
Abstract
Industrial wastewater treatment has always been one of the significant human being problems for the years. In particular, sewage containing heavy metals that, if discharged into nature, would have irreversible effects on the ecosystem and human health. Due to their toxic nature, heavy metals will reduce the efficiency of wastewater treatment systems if they are not efficiently treated. Also, the removal of Nitrate from the wastewater, which is one of the most stable nitrogen oxides, has always been a serious human problem in the treatment of effluents due to their high solubility in water. The simultaneous presence of nitrate and heavy metals in the effluent will cause many problems in the...
Application of Axiomatic Design Theory in Cloud-Based Segmented Production Systems
, M.Sc. Thesis Sharif University of Technology ; Houshmand, Mahmoud (Supervisor)
Abstract
Designing and evaluating the segmented production structures of the production system due to the variety of production systems is one of the important issues that have been considered in recent decade. In this research, the paradigm of designing a segmented production system has been studied to increase the adaptation of the organizational structure of production systems to changing and diverse behavior of the market as well as to increase the responsiveness to demand in the organization. The segmented production system provides production units to small, flexible and decentralized production units. The segmentation process used in this research uses an axiomatic design structure. The...
Predator Effects on the Stability of Collective Motions of Self-Propelled Particles
, M.Sc. Thesis Sharif University of Technology ; Jalali, Mir Abbas (Supervisor)
Abstract
The design and control of collective robots for different purposes has been one of the most interesting subjects in recent years. Interacting particles (both in engineering and nature) can not only be self-organized, but also show a myriad of amazing features. A lot of different types of collective motion can be seen in nature (like fishes, birds, bacteria, insects, to name but a few) which interacting with each other to form complicated patterns with ingenious purpose like foraging, predator escaping and so forth. Understanding these natural phenomena (like vortex formation) can be helpful in designing artificial systems, the usage of which are underwater or space vehicles performing a...
PEGylated silica-enzyme nanoconjugates: A new frontier in large scale separation of α-amylase
, Article Scientific Reports ; Volume 5 , 2015 ; 20452322 (ISSN) ; Pazuki, G ; Vossoughi, M ; Sharif University of Technology
Nature Publishing Group
2015
Abstract
High resolution is nearly lost at the expense of throughput in most conventional bioseparation methods. Nanoparticles, due to their high surface to volume ratio, are attractiveenzyme carriers, which can boost the performance of extraction manifold. Here, wereport design and application ofa method highly capable of improving the partitioning of α-amylase in aqueous two-phase system of polymer and salt. Silica nanoparticle introduced to the system acts as a bridge that connects the enzyme and polymer. Theconjugated nanoparticles form the major part of the upper phase and thus significantly enhance the protein recovery. A thorough investigation was performed on the structure of the...
studying the Effect of Adding Nanoparticles in Polymer/salt Aqueous Two Phase Systems for Separating of Alpha-amylase Enzyme
,
Ph.D. Dissertation
Sharif University of Technology
;
Vossoughi, Manoochehr
(Supervisor)
;
Pazuki, Gholamreza
(Supervisor)
Abstract
The effects of adding nanoparticles in partitioning of α-amylase in polymer/salt aqueous two phase system (ATPS) was studied in this research. First the binodal curves of magnesium sulfate salt with PEGs 2000,3000,4000,6000 and 10000 at 23 ° C has been plotted and the suitable system which was PEG 6000/ magnesium sulfate has been selected for studying the partitioning of enzyme. Thereupon the partition coefficient of α-amylase was measured and then effect of adding silica and graphene oxide nanoparticles was investigated. It was observed that nanoparticles caused a dramatic increase in partition coefficient and yield recovery (of top phase). For further investigation the partitioning of...
Design of Multi-Object Tracking Algorithms Based on Transformer Models
, M.Sc. Thesis Sharif University of Technology ; Hashemi, Matin (Supervisor)
Abstract
Nowadays, Multi-Object Tracking (MOT) plays a crucial role in various computer vision applications such as autonomous vehicles, surveillance, and robotics. Traditional MOT methods often struggle with challenges such as high errors when dealing with complex scenarios involving occlusion, scale variations, and object interactions. Recent advancements in deep learning, particularly Convolutional Neural Networks (CNNs) and Transformer models, have demonstrated significant capabilities in addressing these challenges. This thesis presents a study on the use of deep learning techniques, specifically CNNs and Transformer models, for solving the problem of Multi-Object Tracking. It begins by...
Optimization of PV-wind-diesel System
, M.Sc. Thesis Sharif University of Technology ; Kazemzadeh Hannani, Siamak (Supervisor)
Abstract
Design hybrid systems to supply electrical energy for off grid domestic consumer in the remote villages in Iran are the main objective of this work. The hybrid systems considered in this study consist of photovoltaic array, wind turbine, battery and diesel generator. Measured wind speed data used for wind turbine energy production model. The hybrid system optimized to supply 6, 14, 20, 40 and 60 families in Bojnoord, Moorchehkhoort, Kish, Langrood, Khash and Meshkinshahr. The main purpose of optimization is to find the economic system, able to fulfill the energy requirements of a given load distribution; so Iran’s current economy and cost, considered. The optimized results for studied cities...
Prediction of the effect of heat generation in ballscrew on the accuracy of CNC milling machine
, Article Proceedings - 2012 14th International Conference on Modelling and Simulation, UKSim 2012, 28 March 2012 through 30 March 2012 ; March , 2012 , Pages 278-282 ; 9780769546827 (ISBN) ; Movahhedy, M. R ; Naebi, A ; Pasban, S ; Sharif University of Technology
2012
Abstract
In high speed machining, friction between the moving parts, generates heat. One of the major causes of thermal errors in linear axes is the heat generated in ball screw during operation at high speed. Thermal errors affect the accuracy of the linear axes and can cause a deviation from the nominal machining circular motion. The subject of this paper is to study the effects of feed velocity and ball screw Preload on the accuracy of circular motion. The temperature rise in the ball screw is measured by a laser thermometer. The errors in the linear and circular motions are measured by laser interferometer and ball bar. Training a neural network by the test results, thermal errors in all parts of...
Prediction of the selectivity coefficient of ionic liquids in liquid-liquid equilibrium systems using artificial neural network and excess Gibbs free energy models
, Article Particulate Science and Technology ; Volume 28, Issue 4 , 2010 , Pages 379-391 ; 02726351 (ISSN) ; Pazuki, G ; Goodarznia, I ; Vossoughi, M ; Sharif University of Technology
2010
Abstract
In this work, the selectivity coefficients of ionic liquids in liquid-liquid systems were correlated and predicted by the NRTL, UNIQUAC, and Wilson-NRF Gibbs free energy models and also by an artificial neural network system. The three thermodynamic models need six binary interaction parameters between solvent(1)-solvent(2), solvent(1)-ionic liquid, and solvent(2)-ionic liquid pairs in obtaining the selectivity of ionic liquid in liquid-liquid systems. Also, the selectivity coefficients of ionic liquids were modeled using an artificial neural network system. In the proposed neural network system, temperature, molecular weight of ionic liquid, molecular weight of solvents, and mole fractions...
The prediction of permeability using an artificial neural network system
, Article Petroleum Science and Technology ; Volume 30, Issue 20 , 2012 , Pages 2108-2113 ; 10916466 (ISSN) ; Nikookar, M ; Dehnavi, M ; Al Anazi, B ; Sharif University of Technology
2012
Abstract
The authors studied the efficiency and accuracy of neural network model for prediction of permeability as a key parameter in reservoir characterization. So, some multilayer perceptron (MLP) neural network models with different learning algorithms of Levenberg-Margnardt, back propagation, improved back propagation (IBP), and quick propagation with three layers and different node numbers (3, 4, 5, 6, 7) in the middle layer have been presented. These models have been obtained by 630 permeability data from one of offshore reservoirs located in Saudi Arabia. The accuracy of models was studied by comparing the obtained results of each model with experimental data. So, the neural network with IBP...
Design and implementation of TSC type SVC using a new approach for electrical quantities measurement
, Article 2001 IEEE Porto Power Tech Conference, Porto, 10 September 2001 through 13 September 2001 ; Volume 2 , 2001 , Pages 262-267 ; 0780371399 (ISBN); 9780780371392 (ISBN) ; Alavi, M. H ; Marami, M ; Dehnavi, G. R ; Sharif University of Technology
2001
Abstract
In this paper, a compact algorithm for balancing the load and correction of power factor in three-phase three-wire system is presented. Susceptances of SVC in each phase are computed as a function of real and imaginary parts of line current. This calculation is based on unity power factor and elimination of negative sequence of currents. A laboratory prototype of Thyristor Switched Capacitor (TSC) at 380V and 45KVAR is designed and implemented. Also, a new approach for measuring active and reactive power, power factor and voltage is presented. This measuring technique is based on integration of current signal over a specific part of voltage signal period. Finally, a brief description of...
Reduction of Water Consumption in Oil Production Units by Desalination of Rejected Brine Concentrated Solutions
, M.Sc. Thesis Sharif University of Technology ; Satari, Sorena (Supervisor) ; Shaygan Salek, Jalaloddin (Co-Advisor)
Abstract
One of the most significant problems of oil regions is salinity of the produced water extracted from the well. Penetrating the produced water through the surrounding environments of the oil well in recent years, plenty of environmental problems, especially agricultural ones have been caused in these areas. According to the increasing trend of water salinity during the time, one of the urgent action in the oil industry of the country should be finding a way to reduce the amount of dissolved salt in the produced water. The purpose to this project has been representing a more appropriate configuration for desalination of the produced water. Therefore, the water sample containing less than 70000...
A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran
, Article Catena ; Volume 135 , 2015 , Pages 122-148 ; 03418162 (ISSN) ; Aghdam, I. N ; Pradhan, B ; Morshed Varzandeh, M. H ; Sharif University of Technology
Elsevier
2015
Abstract
In recent years, Iran has experienced many landslides due to high tectonic activity, and a variety of geological and climatic conditions. This paper proposes a novel hybrid model based on step-wise weight assessment ratio analysis (SWARA) method and adaptive neuro-fuzzy inference system (ANFIS) to evaluate landslide susceptible areas using geographical information system (GIS). At first, based on an inventory map, landslide locations were randomly divided into two parts, 70% of which were used for generating the landslide hazard map and 30% of which were used for the validation of the model. Then, twelve landslide predisposing factors, such as lithology, slope angle, slope aspect, plan...
Some new aspects of design and implementation of TCR for load balancing and power factor correction in distribution systems
, Article 2001 IEEE Porto Power Tech Conference, Porto, 10 September 2001 through 13 September 2001 ; Volume 1 , 2001 , Pages 146-151 ; 0780371399 (ISBN); 9780780371392 (ISBN) ; Shayanfar, H. A ; Mahdavi, J ; Marami Saran, M ; Sharif University of Technology
2001
Abstract
A Prototype Thyristor Controlled Reactor (a kind of Static Var Compensator) has been designed and implemented to balance load and correct power factor in distribution systems. This article aims at presenting the steps of designing along with some new aspects which are employed. Double Tuned Filters has been developed and used to remove current harmonics due to TCR. Exact relations for load balancing and power factor correction were obtained, ft new method for measurement of the active and reactive component of current or active and reactive power is presented. Implementation results indicate the proper functioning of TCR in load balancing along with power factor correction. Both transient...
A novel congestion management method through power system partitioning
, Article Electric Power Systems Research ; Volume 213 , 2022 ; 03787796 (ISSN) ; Afsharnia, S ; Akmal, A. A. S ; Moeini Aghtaie, M ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Congestion management (CM) is inevitable in today's competitive power markets. A CM method should be fast, fair, effective, and motivational. Moreover, in critical congestions, the system simplification and congestion clearing time are also of considerable importance. All the mentioned features can be found in an intelligent zonal CM. In this paper, using sensitivity analysis and power tracing techniques, a new CM model is developed based on power system partitioning. By the proposed model, a congestion index (CI) is introduced by which a candidate zone(s) is specified including some elements (generators and loads) with the highest CIs which means that they have high participation in...
Design and Fabrication of Inductive High Temperature Superconducting Fault Current Limiter
,
Ph.D. Dissertation
Sharif University of Technology
;
Vakilian, Mehdi
(Supervisor)
;
Fardmanesh, Mehdi
(Supervisor)
Abstract
The continuous rise in electricity demand and the ever growing power generation in different power networks over the world have caused the short circuit level in the power systems to exceed the operational rating of the installed power devices (including cables, circuit breakers and buses). Replacing these devices with new higher rating devices is an expensive solution. From this point of view, utilizing fault current limiters is an economical solution. Superconducting fault current limiters form an efficient category of current limiters. This type is expected to be studied and used widely in future due to their advantages. In this thesis, the first chapter reviews the superconductivity...
Decision-Making tree analysis for industrial load classification in demand response programs
, Article IEEE Transactions on Industry Applications ; Volume 57, Issue 1 , 2021 , Pages 26-35 ; 00939994 (ISSN) ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Dehghanian, P ; Wang, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Industrial loads play an important role in the success of demand response programs (DRPs). However, these programs may compromise the consumers' convenience, which can overshadow their real-world practicality. In response, this article provides a two-level decision-making tree approach to effectively determine the participation abilities of different industrial processes in DRPs considering various features and abilities of these customers. The level I of this framework introduces several classifying variables by which a basic criterion is extracted to classify different industrial processes applying the analytic hierarchy process (AHP). A participation factor is then introduced in level II...
Synergistic Wound Healing by Novel Ag@ZIF-8 Nanostructures
, Article International Journal of Pharmaceutics ; Volume 629 , 2022 ; 03785173 (ISSN) ; Mohsen Dehnavi, S ; Ahmadi Seyedkhani, S ; Yahya Rahnamaee, S ; Golizadeh, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
In this paper, novel zeolitic imidazolate framework-8 (ZIF-8) functionalized with Ag (Ag@ZIF-8) nanoparticles were synthesized through a green, facile and environmental-friendly process for wound dressing applications. X-ray diffraction revealed that the ZIF-8 and Ag@ZIF-8 were successfully synthesized by green solvents at ambient temperature. Field-emission scanning electron microscopy indicated a homogeneous porous blend of ∼30 nm chitosan/bacterial cellulose (CS/BC) nanofibers embedded with ∼80–110 nm nanoparticles of the ZIF-8 and Ag@ZIF-8. Transmission electron microscopy revealed the Ag@ZIF-8 nanostructures consist of ZIF-8 cores that are covered by 5–20 nm Ag nanoparticles. MTT assay...