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    Verification of Two and Three Dimensional Seepage Analyses Results’ Correctness in Embankment Dams According to Instrumenting Data (Case Study: ZAGROS, SHIAN & HAALEH Dams)

    , M.Sc. Thesis Sharif University of Technology Yarahmadi, Nazanin (Author) ; Jafarzadeh, Fardin (Supervisor)
    Abstract
    Since, seepage- related problems account for more than forty percents of earth dams’ failure, seepage analysis is one of the most important stages in designing of embankment dams. The most usual method of making a seepage analysis is doing a two dimensional one in the maximum cross- section and generalizing its results to the third dimension. As a natural consequence of this kind of seepage analysis, the effect of valley shape and material properties’ changes along the third dimension are ignored and so, in narrow valleys where the cross-section changes along longitude profile or in the specific cases of nonhomogeneity, using this kind of analysis can make false results. Besides, because of... 

    Evaluation of the Behaviorof Earth and Rockfill Dams during Construction and First Impounding using Instrumentation data and Numerical Modeling (Case Study: Dam Gavoshan)

    , M.Sc. Thesis Sharif University of Technology Rashidi, Mohammad (Author) ; Haeri, Mohsen (Supervisor)
    Abstract
    Monitoring is of particular importance after impounding and during dam operation. In all large dams, by installation of the required instruments the pore pressure, soil mass pressure and displacement during construction, first impounding and operation are measured, then the performance of dam will be analyzed and evaluated. The aim of this study is to evaluate the performance of the "Gavoshan" dam, which has an important role on agriculture development and drinking water supply at west part of Country. To reach this, the values resulting from instruments have been implemented by FLAC software, using "Back Analysis" method. However, this assessment is complete when "back analysis" method is... 

    Evaluation of the Behavior of Gotvand Rockfill Dam During Construction and Initial Impoundment Using Instrumentation Data and Numerical Modeling

    , M.Sc. Thesis Sharif University of Technology Harif Bilondi, Zakie (Author) ; Jafarzadeh, Fardin (Supervisor)
    Abstract
    Stability control of Rockfill dams during construction, first impoundment and during operation is of great importance. Increase in pore water pressure during construction and reservoir filling of rockfill dams with clay core can initiate or help the progress of the hydraulic fracture. Considering initiation of high excessive pore pressures while construction as an important causes of dam failure, precise estimation and analysis of It's variation will be necessary and will increase safety factor of dam stability.Horizontal and especially vertical displacements happening during Dam construction and reservoir filling and arching phenomenon in clay core while construction are the other factors... 

    Seismic Retrofitting of Buried Pipelines in Soil Slopes using Physical Model Shaking Table Tests

    , M.Sc. Thesis Sharif University of Technology Sabbaghi Dehaghi, Saeed (Author) ; Jafarzadeh, Fardin (Supervisor)
    Abstract
    The purpose of this research is to study methods of Seismic retrofitting of buried pipelines in soil slopes subjected to landslide due to earthquakes. For this purpose, two methods were considered. The first method is to increase the burial depth of pipes. To check the performance of this method, results of three physical model tests conducted by previous research groups in this project, were used. The second method is to construct flexible retaining walls adjacent to buried pipe in soil slope. Wall was selected of Expanded polystyrene (EPS) geofoam. For this purpose a physical model was built on and excited using shaking table facility of Sharif University of Technology. Simulation laws... 

    Software De-Obfuscation and its Applications to Malware Analysis

    , Ph.D. Dissertation Sharif University of Technology Momeni, Behnam (Author) ; Kharrazi, Mehdi (Supervisor)
    Abstract
    Obfuscation transformations complicate a software and make it incomprehensible via syntactical changes. This provides high incentive for malware authors to employ different obfuscation techniques. The practical nature of this problem and lack of common definitions in this area have limited the encountering fronts. Whenever a new obfuscation method becomes known in the wild, ad-hoc deobfuscation solutions follow it, trying to recognize it in details and reverse it step by step. As more obfuscation transformations become readily available for malware developers, this approach becomes more costly and impractical. This rises the perceived need for automated deobfuscation. For example, the... 

    Design for Fabrication, Fabrication and Calibration of a Knee Prosthesis Laxity and Stability Test Machine

    , M.Sc. Thesis Sharif University of Technology Nasiri Khonsari, Hassan (Author) ; Durali, Mohammad (Supervisor)
    Abstract
    In this project, conceptual and detailed designs of a knee prosthesis constraint testing machine were performed based on ASTM F1223-20 standard. Conceptual and detailed mechanical and electrical design of machine and parts were performed based on common engineering practice and standards. Parts were carefully manufactured and controlled for quality assurance. The machine was then assembled and checked for proof of performance. A plc program was written as machine software. A comprehensive user interface was coded on computer for performing various tests, which can command the machine and view the required data in a graphical environment. Finally, simple experiments were designed and... 

    Predicting the Behavior of a Double-Arched Concrete Dam Using the Machine Learning Technique

    , M.Sc. Thesis Sharif University of Technology Moradi Sarkhanlou, Milad (Author) ; Ghaemian, Mohsen (Supervisor) ; Toufigh, Vahab (Co-Supervisor)
    Abstract
    In recent years, machine learning techniques have been available to predict and interpret the structural behavior of dams. The main goal of this research is to predict structural behavior through modeling with data read by accurate instruments of dams. This requires the selection of several machine learning methods such as Random Forests (RF), Boosted Regression Trees (BRT), Artificial Neural Networks (ANN), Support Vector Regression (SVR), and Decision Tree Regression (DTR) algorithms. In this research, considering the 24 target variables defined from the detailed instrumentations studied, the behavior of the dam is modeled using selected machine learning models. These precision instruments...