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The Dean’s Office The Education Department is a core unit within the faculty, responsible for planning, organizing, and overseeing educational activities. It works closely with academic staff to design and update course curricula, coordinate class schedules, and enhance the overall quality of teaching. The department aims to provide a supportive environment for effective learning and the academic development of students. It also plays a key role in academic advising, addressing educational concerns, and organizing consultation sessions. By applying modern teaching methods and responding to current educational needs, the Education Department strives to improve the learning process and contribute to student success.
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Publication Date: 2008
Road Materials and Pavement Design (14680629) 9(4)pp. 651-664
Porous asphalt mixture or Open Graded Friction Course (OGFC) has many benefits that resulted in its extensive use and development. OGFC improves the friction of a wet pavement, surface reflection, traffic noise, wet weather driving conditions by allowing the water to drain through its porous structure and reduces the hydroplaning, the splashing and spraying of water in the air (acts as spray reducing surfaces). For achieving the advantages mentioned above, this mixture must have big Voids in Total Mix (VTM). The big VTM reduces durability of the paving mixtures and prone them to raveling. The use of hydrated lime in porous asphalt is an accepted practice for many highway agencies in order to increase mixture strength as well as to improve durability of asphalt pavements. The goal of this study is to evaluate the mechanical properties of lime treated OGFC before and after multiple cycles of freeze-thaw moisture conditioning and also to show that hydrated lime improves stability and durability of the mixture more than limestone powder. © 2008 Lavoisier.
Publication Date: 2011
Expert Systems with Applications (09574174) 38(10)pp. 12643-12653
Precise speed control of an Interior Permanent Magnet Synchronous Motor (IPMSM) drive becomes a complex issue due to the nonlinear nature of its developed torque. The system nonlinearity becomes severe when the IPMSM drive operates in the field weakening region. In order to achieve perfect control characteristics, the main purpose of this paper is to present a detailed comparison of various intelligent based controllers for flux weakening speed control of an IPMSM drive. In this paper, the Brain Emotional Learning Based Intelligent Controller (BELBIC), Genetic-Fuzzy Logic Based Controller (GFLBC), as well as genetic-PI based controller, are considered. BELBIC is a computational model of emotional processing mechanism in the brain. The effectiveness of the proposed BELBIC controller-based IPMSM drive is verified by simulation results at different operating conditions. Moreover, control regimes such as Maximum Torque Per Ampere (MTPA) control and flux weakening (FW) control as well as voltage and current constraints have been successfully applied. The results prove BELBIC's perfect control characteristics, such as fast and smooth speed response, low maximum starting current, adaptability to speed and load changes and robustness to parameter variations, disturbance and sudden one-phase interruption. © 2010 Elsevier Ltd. All rights reserved.
Publication Date: 2011
Expert Systems with Applications (09574174) (1)
Data Envelopment Analysis (DEA) is a managerial powerful tool to evaluate the relative efficiency of each decision making unit (DMU). Nowadays, multi-objective DEA models in static environment are an attractive technique for evaluation quantity and quality aspects of performance analysis because there is some weakness in single objective DEA such as one-dimensional performance analysis and also it is important to consider the decision maker(s) preference over the potential adjustments of various inputs and outputs when DEA is employed. In this paper, a fuzzy dynamic multi-objective DEA model is presented in which data are changing sequentially. This paper assesses the performance of the railways using presented model as a numerical example to evaluate the results of the model. Results indicate that the multiple objective program model improves discriminating power of classical DEA models with just one time calculation of the efficiency achievement for all DUMs. © 2010 Elsevier Ltd. All rights reserved.
Publication Date: 2011
pp. 135-144
Precise speed control of an Interior Permanent Magnet Synchronous Motor (IPMSM) drive becomes a complex issue due to complex coupling among its winding currents and the rotor speed as well as the nonlinear nature of the developed torque. The system nonlinearity becomes severe when the IPMSM drive operates in the field weakening region. The main purpose of this paper is to present the implementation of an emotional controller for flux weakening speed control of an IPMSM drive. The proposed controller is called Brain Emotional Learning Based Intelligent Controller (BELBIC) and is a computational model of emotional processing mechanism in the brain. The effectiveness of the proposed BELBIC controller-based IPMSM drive is verified by simulation results at different operating conditions. Moreover, control regimes such as Maximum Torque per Ampere (MTPA) control and Flux Weakening (FW) control as well as voltage and current constraints have been successfully applied. The results prove BELBIC's perfect control characteristics, fast response, simple implementation and adaptability to speed, load and parameter changes. © 2011 IEEE.
Publication Date: 2012
International Journal of Advanced Manufacturing Technology (14333015) (5-8)
Data envelopment analysis (DEA) is an important managerial tool for evaluating and improving the performance of decision making units. The existing DEA models are mostly limited to static environment using crisp data and are time-consuming and also have weak discriminating power. The aim of this work is to introduce a new fuzzy dynamic DEA model with missing values, which benefits from strengths of multi-objective modeling to overcome weakness and drawbacks of the classic DEA models. To check for quality and accuracy of the proposed model, this paper offers a comparative study to compare the discriminating power and computational efforts of the model with two problems in the literature taken as benchmarks. Also, this paper presents a real application of the fuzzy dynamic DEA model for assessing and ranking the level of performance for 56 railways around the globe using real data gathered from credible sources. The numerical case illustrates the model and the result may be used by railways to improve their performance efficiency compared to the best in the sample. Results for the comparative study and the real case reveal significant improvement in computational time and discriminating power. © Springer-Verlag London Limited 2011.
Publication Date: 2012
pp. 308-313
Unbalanced line currents cause unbalanced voltage drops on the three phases of the supply system. Consequently, the voltage system within the supply network will become unbalanced. Voltage unbalance has different detrimental effects in electrical power systems, such as the growth of losses in drive systems and adjustable speed drives, supplementary heating, line-current unbalance, derating, torque pulsation, mechanical stresses, etc. This paper makes an effort to have a comprehensive analysis of the effects of different connection types of three phase transformers on voltage unbalance propagation in distribution networks. The indices of voltage unbalance factor (VUF) and current unbalance factor (IUF) are used in this paper to evaluate the unbalance propagation. These indices are acquired utilizing symmetrical component theory on three phase voltages and currents earned through the system impedance matrix. © 2012 IEEE.
Publication Date: 2013
pp. 13-19
Precise speed control of a Linear Induction Motor (LIM) drive becomes a complex issue due to the end effect phenomena which results in the weakening of the airgap flux and thrust. The end effect becomes severe when the LIM drive operates at higher speeds. The main purpose of this paper is to present an accurate qd dynamic model of linear induction motor suitable for vector control and drive applications considering the end effects. In this model not only the magnetizing inductance is modified but also the series resistance reflecting the eddy current is considered in the series with the magnetizing branch in both q and d axes. Moreover, a corresponding indirect field oriented control (IFOC) scheme is suggested. The effectiveness of the proposed IFOC scheme based LIM drive is verified by simulation results at different operating conditions. In addition, a five-level Cascaded H-bridge (CHB) inverter with multiband hysteresis modulation has been successfully applied for drive performance improvements. The results prove that the proposed LIM model and its related IFOC scheme show more accurate and comprehensive resultants and are therefore closer to the reality. Furthermore, utilization of the multilevel CHB inverter guarantees high drive performance and perfect control characteristics. ©2013 IEEE.
Publication Date: 2014
Transport (16484142) 29(1)pp. 28-35
The evaluation of railway line capacity is an important problem, which effects majority of problems in rail transportation planning. The railway capacity is dependent on infrastructure, traffic, and operating parameters. A key factor affecting railway line capacity is the impact of different train types. As the combination of different train types increases, more interference is generated. In this paper, for evaluation of train type interactions on railway line capacity, an integer-programming model for both line and line section is presented. The problem is formulated as a multicommodity network design model on a space-discrete time network. The railway capacity is calculated using data typically available to planners. The inputs of the model are the characteristic of each train type and railway line attributes. The model determines railway capacity based on train type mixes. In addition, this model considers impact of train types on capacity and waiting time. In order to show the features of the model, a case study is implemented in Iran Railways. The capacity tends to increase non-linearly with small incremental changes in parameters. The mixture of train types reduces the railway line capacity. The proposed model can help railway managers for long-term planning. © 2014 Copyright © 2014 Vilnius Gediminas Technical University (VGTU) Press.
Yaghini, M. ,
Sarmadi, M. ,
Nikoo, N. ,
Momeni, M. Publication Date: 2014
Networks and Spatial Economics (1566113X) 14(3-4)pp. 317-333
In this paper, a compressed timetable is generated to calculate capacity consumption for under construction railway routes using an optimization approach. Since the detailed timetable for under construction routes does not exist, the timetable is not required in the applied model. The model generates a compressed timetable based on UIC 406 method. The capacity consumption problem is formulated as a multicommodity network design model on a space-discrete time network. A local branching heuristic algorithm is proposed to solve the model. The main idea underlining the local branching algorithm is the utilization of a general mixed integer programming solver to explore neighborhoods and locally search around the best-known solution by employing tree search. The parameters of the algorithm are tuned by using design of experiments. The proposed method is implemented in Iran Railways and the results are reported. © 2014, Springer Science+Business Media New York.
Ziari, H. ,
Farahani h., H.Z. ,
Goli, A. ,
Galooyak, S.S. Publication Date: 2014
Petroleum Science and Technology (15322459) 32(17)pp. 2102-2108
With the increase of traffic and consequently, and the loads applied on the roads, the need for a more durable pavement has a special significance. Therefore, the researchers have been seeking to improve the functional properties of bitumen and asphalt. For this reason, different materials have been used to modify these properties. In this study, the carbon nano tube (CNT) has been used as the modifier of bitumen performance. The use of this additive has improved both the classic (softening point, penetration degree, and so on) and performance (complex modulus, phase angle, fatigue parameter, rutting factor) properties of bitumen in comparison to the standard bitumen. © Taylor & Francis Group, LLC.
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