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    Calculation of the Energy Release Rate of Nano-Cracks in FCC Materials Via the Many Body Atomic Scale FEM

    , M.Sc. Thesis Sharif University of Technology Ostad Hossein, Alireza (Author) ; Mohammadi Shodja, Hossein (Supervisor)
    Abstract
    Since the classical continuum theory fails to deal with the problems associated with defects, stress concentrators, and relevant deformation phenomena in solids, alternative approaches that can detect the atomistic nature of materials' fracture are required. The deficiency of the capture the size effect which yields delusively high values for some components of the stress field right on the edge of the stress concentrators, and its weakness in describing the complex interaction between small inhomogeneities, cracks and the like when they are only a few nanometers apart, are among some of the disadvantages of the classical approach. In recent years, however, atomistic methods are emerging to... 

    Proposing an Equivalent Linear Method for the Analysis and Design of Concrete Bending Frames

    , Ph.D. Dissertation Sharif University of Technology Hossein Omidi (Author) ; Khaloo, Alireza (Supervisor)
    Abstract
    The current design procedure known as Force-Based Design (FBD) method, generally, does not lead to uniform distribution of drift, hysteretic energy, and ductility demands (or structural damage) along the height of the moment frames under strong earthquakes and these performance parameters can be much higher and concentrate damage on one or more of the lower structural stories. This paper presents an iterative wave propagation (WP) based technique to calculate the seismic nonlinear response of multistory buildings as an extension of the layered soil media, founded on bedrock and subjected to vertically propagating shear waves, which leads to the introduction of a new Lateral Load Pattern... 

    Investigation of the Effect of Interleaved Memory on WCET in Real-Time Embedded System

    , M.Sc. Thesis Sharif University of Technology Hossein Ghorban, Ali (Author) ; Ejlali, Alireza (Supervisor)
    Abstract
    Worst case execution time (WCET) and energy consumption are two of the most important design constraints of real-time embedded systems and memory subsystem has a major impact on both of them. Therefore, many recent studies have tried to improve the memory subsystem of embedded systems by using emerging non-volatile memories instead of conventional memories such as SRAM and DRAM. Indeed, the low leakage power dissipation and improved density of emerging non-volatile memories, makes them prime candidates for replacing the conventional memories. However, accessing these memories imposes performance and energy overhead and using them as the code memory may increase the WCET.Furthermore, most... 

    Spacecraft Attitude Estimation Via Nonlinear Filtering Using Thermal Sensors

    , Ph.D. Dissertation Sharif University of Technology Labibian, Amir (Author) ; Pourtakdoust, Hossein (Supervisor) ; Alikhani, Alireza (Supervisor)
    Abstract
    The problem of spacecraft attitude determination (AD) using thermal data is investigated. Given the Solar space environment, the key dominant mechanism of heat transfer will be radiation, in which the Sun and Earth are the major contributing heat sources that affect the satellite external surface temperatures. In this sense, the net heat fluxes (NHF) of a satellite surface that is insulated against any internal heat communication will only be related to these main radiating sources. In order to utilize the satellite temperature data for AD, a heat attitude model (HAM) that relates the satellite surfaces NHF to its attitude is developed using three orthogonal satellite surfaces. Assuming... 

    Structural Health Monitoring Using Optimal Finite Element Model Based on Digital Image Correlation

    , M.Sc. Thesis Sharif University of Technology Amir Hossein Amir Ahmadi (Author) ; Khaloo, Alireza (Supervisor)
    Abstract
    The purpose of this research is to monitor the health of structures using the updated finite element model, in which digital images are used to optimize the numerical model. Structural Health Monitoring (SHM) is always an important and significant issue that has attracted the attention of many researchers in recent years. In general, some researches have been conducted in this field using physical sensors that provide discrete data to the system for analysis. Using cameras to monitor the structure makes it possible to extract continuous and integrated data from the structure using digital images, which is a significant advantage compared to physical sensors.In this research, a steel... 

    Identifying the Success Factors of Construction Projects (Case Study: Azadi Mashhad Underground Parking Project)

    , M.Sc. Thesis Sharif University of Technology Hossein Abadi, Mohammad Javad (Author) ; Khaloo, Alireza (Supervisor)
    Abstract
    Identifying the success factors of construction projects is one of the most important issues in project management. Lack of sufficient and comprehensive knowledge of project success factors makes it difficult to control, monitor and operate projects. Therefore, identifying the factors influencing the failure or success of projects according to the type of projects by managers, employers and executives can provide a good framework for evaluating and reviewing project outputs for them. Also, recognizing the success factors of projects can help to manage the appropriate allocation of resources throughout the life of the project. The result of this study can increase the existing knowledge about... 

    Investigating the Effects of DBS on Brain Connectivity by Causal Inference in Parkinson’s Disease

    , M.Sc. Thesis Sharif University of Technology Ostad Mohammadi, Mohammad (Author) ; Rabiee, Hamid Reza (Supervisor)
    Abstract
    Parkinson’s disease (PD) is a progressive debilitating neurological disorder that causes motor and cognitive impairment. Administration of dopaminergic medication (Levodopa) has been reported to be effective in attenuating the excessive pathological synchronization in basal ganglia. However, long term levodopa therapy has its pitfalls. High frequency deep brain stimulation (DBS) has been suggested as an effective alternative for reducing motor symptoms in PD. In this method, distinct brain regions involved in the pathophysiology of the disease are stimulated electrically at high frequencies (i.e. at 130 Hz). While several studies have been carried out on the effects of DBS and its clinical... 

    Smart Stick-Slip Oscillation Removal through Acoustic Communication and Predictive Estimator

    , M.Sc. Thesis Sharif University of Technology Mahlooji, Malihe (Author) ; Hossein Khalaj, Babak (Supervisor) ; Farhadi, Alireza (Supervisor)
    Abstract
    To suppress stick-slip oscillations a controller is designed. However, because the lack of rotary speed at the surface, two approaches to implement this controller is considered: 1) Using an observer to estimate the rotary speed, 2) Using acoustic communication. To implement the second method, we confront several challenges including delay in the feedback loop and noise in communication system. In this thesis, a controller is designed based on prediction of the current rotary speed using its delayed value. It is shown that this system is less sensitive to uncertainty in system parameters compared to the controller based on observer. The performance of both systems in terms of settling... 

    Data-Driven Based Methods to Design Anticancer Drugs to Target Kras

    , M.Sc. Thesis Sharif University of Technology Ahangarani, Danial (Author) ; fattahi, Alireza (Supervisor) ; Rohban, Mohammad Hossein (Co-Supervisor)
    Abstract
    One of the goals of the current research is to investigate natural structures to inhibit Ras proteins that belong to the family of guanosine triphosphatase proteins. For example, one of the common mutations is Kras mutations, which are seen exclusively in pancreatic ductal adenocarcinoma. Changes in Kras protein expression are observed in 30 percent of lung cancer cases. Kras mutations occur in 35-45 percent of colon cancers, leading to drug resistance. Our work method in this research is that we collect a dataset of natural compounds for the target protein. Then, the binding energies of these structures with the receptor protein are calculated through Autodoc Vina. After that, using deep... 

    Design and Implementation of Cyber-Phyical Network (Smart Building) using Machine Learning

    , M.Sc. Thesis Sharif University of Technology Fahim, Mohammad (Author) ; Hossein Khalaj, Babak (Supervisor) ; Farhadi, Alireza (Co-Supervisor)
    Abstract
    Because of the increasing use of distributed computing and edge computing patterns, broadcast communications are becoming increasingly important. This communication should be such that each node can deliver its information to all or part of the network nodes. The quantity of delay should be small enough to not disturb the rest of the control processes.
    There are different topologies such as Mesh, Tree and Star networks, each of which has efficiencies according to the type of its media access control. In this thesis, a clustering architecture is proposed using the combination of Frequency Division Multiple Access with Carrier Sensing Multiple Access, and mathematical analysis is performed... 

    An Analysis of Consumer Buying Behavior in ''Green Marketing" in Iran

    , M.Sc. Thesis Sharif University of Technology Iran, Samira (Author) ; Askariazad, Mohamad Hossein (Supervisor) ; Miremadi, Alireza (Co-Advisor)
    Abstract
    Environmental problems have been one of the considerable issues since the irreversible characteristics of nature and its effect on human life were recognized. Scientists have proposed a variety of solutions in order to overcome such problems. Green marketing can be regarded as one of the solutions in this area. Similar to most other issues, this concept has been noticed less in developing countries compared to developed countries. Therefore, researchers in this study conducted a comprehensive research on the concept of green marketing in Iran focusing on consumers’ behavior.
    To achieve relevant results, two types of research were conducted: qualitative and quantitative. The results of... 

    Multivariate Process Variability Monitoring Improvements

    , Ph.D. Dissertation Sharif University of Technology Ostad Sharif Memar, Ahmad (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Abstract
    We consider finding some efficient control schemes for multivariate variability monitoring with capability of working with individual observations. To do this, the existing efficient control charts for multivariate variability monitoring are studied first and it is determined that the and control statistics, defined by individual observations, estimate the covariance matrix quite well. However, the control method that is based on monitoring the trace of these matrices is not necessarily the best. Thus, by applying the first and the second norm on these two statistics, four new control schemes, namely MEWMSL1, MEWMVL1, MEWMVL1 and MEWMVL2are proposed. Performance comparison results show... 

    A Dynamic Model for Cost Reduction in Mega Projects Via Interface Management in Case of Multiple Contractors

    , M.Sc. Thesis Sharif University of Technology Kereshyar, Ali (Author) ; Haji, Alireza (Supervisor) ; Mostafavi, Mostafa (Co-Supervisor) ; Hosseini, Hossein (Co-Supervisor)
    Abstract
    One of the main goals in large projects with multiple contractors is to reduce costs in various processes. The complexity of a large project, which is mainly due to the complexity of activities and the existence of interference between different phases and the lack of transparency of activities, can be added to the multiplicity of contractors and the difficulty of proper interface management.As regards that large projects with a large scope of work, have to use several contractors and this issue has a direct impact on increasing project costs, large project management becomes a major challenge that the application of appropriate knowledge, improving processes and skills and tools can play a... 

    Refined microstructure of compo cast nanocomposites: the performance of combined neuro-computing, fuzzy logic and particle swarm techniques

    , Article Neural Computing and Applications ; Volume 26, Issue 4 , May , 2015 , Pages 899-909 ; 09410643 (ISSN) Ostad Shabani, M ; Rahimipour, M. R ; Tofigh, A. A ; Davami, P ; Sharif University of Technology
    Springer-Verlag London Ltd  2015
    Abstract
    Aluminum metal matrix composites (MMCs) reinforced with nanoceramics are ideal materials for the manufacture of lightweight automotive and other commercial parts. Adaptive neuro-fuzzy inference system combined with particle swarm optimization method is implemented in this research study in order to optimize the parameters in processing of aluminum MMCs. In order to solve the problems associated with poor wettability, agglomeration and gravity segregation of nanoparticles in the melt, a mixture of alumina and aluminum particles was used as the reinforcement instead of raw nanoalumina. Microstructural characterization shows dendritic microstructure for the sand cast and non-dendritic... 

    Stabilizing Control Systems over Communication Channels

    , Ph.D. Dissertation Sharif University of Technology Sanjaroonpouri, Vahideh (Author) ; Hossein Khalaj, Babak (Supervisor) ; Farhadi, Alireza (Supervisor) ; Motahari, Abolfazl (Supervisor)
    Abstract
    In this thesis, we study the observability and stability problems of networked control systems (the control systems which communicate through communication channels) to answer two important questions about different system models. The first is that what is the constraints implied by the stability or observability of systems? (necessary condition on the observability and stability). The second is that under which constraints can we present a design for system to guarantee the observability or stability of systems? (sufficient condition on the observability and stability). Clearly, an efficient design is the one that presents a tight sufficient condition.One of system models addressed in this... 

    Investigation of the Optimum Conditions for the Regeneration of Anion and Cation Exchange Resins of the TR System of Bushehr Nuclear Power Plant

    , M.Sc. Thesis Sharif University of Technology Arkannia, Mohammad Hossein (Author) ; Outokesh, Mohammad (Supervisor) ; Seyed Kalal, Hossein (Supervisor) ; Habibian, Alireza (Co-Supervisor)
    Abstract
    The main purpose of this research is to select a suitable solution for regeneration of ion exchange resins of TR system of Bushehr nuclear power plant and also to compare and evaluate the possibility of using industrial cationic resin (Amberlite IR120) instead of nuclear grade cationic resin (Amberlite IRN97).First, different solutions for regeneration of cationic resins were investigated. For this purpose, three strong acids including hydrochloric acid (HCl), sulfuric acid (H2SO4) and nitric acid (HNO3) were selected and each of these acids was tested in two different concentrations and two different linear velocities; Also, to evaluate the appropriate solution for anionic resin... 

    Understanding the occurrence of the surface turbulence in a nonpressurized bottom gating system: numerical simulation of the melt flow pattern

    , Article Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications ; Volume 232, Issue 3 , March , 2018 , Pages 230-241 ; 14644207 (ISSN) Kheirabi, A ; Baghani, A ; Bahmani, A ; Tamizifar, M ; Davami, P ; Ostad Shabani, M ; Mazahery, A ; Sharif University of Technology
    SAGE Publications Ltd  2018
    Abstract
    Surface turbulence during the filling of the mold triggers the entrainment of oxide films, which appears to be detrimental to the soundness of the final casting. Nonpressurized and bottom-gating systems have been employed in order to avoid such casting defects by reducing the surface velocity of the liquid metal. However, recent studies have shown that the melt front velocity in the mold entrance may exceed the critical value in the nonpressurized and bottom-gating systems. Therefore, a study was conducted on numerical simulation melt flow pattern in nonpressurized and bottom-gating systems. It was noted that the liquid metal enters the gate and then mold cavity with a higher velocity by... 

    Wear wear properties of rheo-squeeze cast aluminum matrix reinforced with nano particulates

    , Article Protection of Metals and Physical Chemistry of Surfaces ; Volume 52, Issue 3 , 2016 , Pages 486-491 ; 20702051 (ISSN) Ostad Shabani, M ; Heydari, F ; Tofigh, A. A ; Rahimipour, M. R ; Razavi, M ; Mazahery, A ; Davami, P ; Sharif University of Technology
    Maik Nauka Publishing / Springer SBM  2016
    Abstract
    There are many approaches to fabricate nanoparticles reinforced aluminum matrix composites. However, uniform distribution of nanoparticle within aluminum matrix remains a difficult challenge. In this study, a novel method is used by taking the advantages from squeeze casting of semi-solid aluminum slurry combined with electromagnetic field to refine the microstructure of the primary Al and eutectic Si phase, plus to obtain uniform distribution nano alumina particles in the aluminum matrix. It is noted that electromagnetic field plays an important role in the formation of non-dendritic primary α-Al particles and a great microstructure refinement occurs as a consequence of the pressure... 

    Rcci Curvature for Metric-Measure Space via Optimal Transport

    , M.Sc. Thesis Sharif University of Technology Taheri, Abolfazl (Author) ; Bahraini, Alireza (Supervisor) ; Ranjbar Motlagh, Alireza (Co-Advisor)
    Abstract
    One of the important questions in mathematics is generalized. In case of metric spaces, one of the questions is: Can we extend notions of Riemannian geometry to arbitrary metric spaces smoothly? Ricci curvature is one of the most important concepts in differential geometry. Ricci curvature is defined for the Riemannian manifold and has many applications in mathematics and physics like Einstein’s equation in relativity theory. There is a good notion for a metric space having “sectional curvature bounded below by K” or “sectional curvature bounded above by K”, due to Alexandrov. Can we define the concept of Ricci curvature in metric space? A motivation for this question comes from Gromov’s... 

    , M.Sc. Thesis Sharif University of Technology (Author) ; Khaloo, Alireza (Supervisor)
    Abstract
    Seismic design codes reduce loads by using response modification factor. Because of the reserved strength in structural elements and capacity of structure to dissipate energy, structures can be designed for lower seismic loads. This factor has modified over time. In this thesis, the effect of the reduction in behavior factor on the response of two kinds of reinforced concrete systems were evaluated. Moment resisting frames and dual systems with different heights and regularity in plan, heve been design according to the behavior factor which is recommended in the 3rd edition of the Iranian codes of practice for seismic resistance design of buildings (Standard No. 2800). Drift and...