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Fragility and Risk Analysis of Electrical Substation Equipment Using Reliability and Endurance Time Methods
, M.Sc. Thesis Sharif University of Technology ; Esmail Pourestekanchi, Homayoon (Supervisor)
Abstract
Electrical substations and its vital components such as switchgears, have experienced severe damage during recent earthquakes, followed by widespread blackouts around the world. To improve the seismic resiliency of power grids and use probabilistic decision-making frameworks, comprehensive fragility data for the different equipment is needed. The purpose of this study is to assess the vulnerability of equipment in substations and to develop fragility curves for this equipment. For this purpose, four main equipment of switchgear, namely circuit breaker, disconnect switch, current transformer and surge arrester, have been modeled in three dimensions and verified. After examining the different...
Development of a new framework based on Gaussian regression process for rapid fragility analysis of 2-DoF base-isolated structures
, Article Structures ; Volume 53 , 2023 , Pages 1135-1149 ; 23520124 (ISSN) ; Yaghmaei Sabegh, S ; Sharif University of Technology
Elsevier Ltd
2023
Abstract
This paper develops metamodels (or surrogate models) to predict the fragility parameters of structures isolated with friction pendulum (FP) isolators. Anequivalent inelastic two-degree-of-freedom (2DoF) system is utilized to model the base-isolated structures.6000 system simulations are initially established based on the probability distribution of input parameters. Then, incremental dynamic analyses are carried out to achieve structural data for the fragility function generation. The developed dataset of the fragility parameters (median and dispersion) is divided into training and testing sets to train and testthe efficiency of thedeveloped metamodels, respectively.Powerful machine learning...
A rapid seismic fragility and risk analysis of electrical substation equipment considering modeling uncertainties
, Article Engineering Structures ; Volume 293 , 2023 ; 01410296 (ISSN) ; Ismail Pour Estekanchi, H ; Sharif University of Technology
Elsevier Ltd
2023
Abstract
This study aims to evaluate the influences of modeling-related uncertainties on the seismic response and fragility function of the four vulnerable components of electrical substation equipment, taking into account the dynamic interaction between apparatuses via bus slider-rigid bus conductors. The 3D finite element model for interconnected disconnect switch- circuit breaker-current transformer-surge arrester system is developed in OpenSees software. A sensitivity analysis is conducted to evaluate and rank the importance of individual random variables on the seismic responses. To incorporate modeling uncertainties into the failure fragility function, probabilistic structural interconnected...
Seismic Fragility and Reliability of Base-Isolated Structures with Regard to Superstructure Ductility and Isolator Displacement Considering Degrading Behavior
, Article Journal of Earthquake Engineering ; Volume 28, Issue 14 , 2024 , Pages 3973-4002 ; 13632469 (ISSN) ; Yaghmaei Sabegh, S ; Souri, O ; Sharif University of Technology
2024
Abstract
The present study investigates the effects of the degradation of mechanical properties (pinching, stiffness degradation, and strength degradation) in load-deformation relationship of the superstructures equipped with friction pendulum systems on the seismic fragility and reliability results. An equivalent two-degree-of-freedom model is employed, in which the Bouc-Wen hysteretic model characterizes the inelastic behavior of both the superstructure and the isolator. To examine a wide variety of system combinations with different structural properties and degradation severity, a comprehensive parametric study is performed. Incremental dynamic analyses are carried out to develop fragility...
Effect of silicon carbide nanoparticles on hot deformation of ultrafine-grained aluminium nanocomposites prepared by hot powder extrusion process
, Article Powder Metallurgy ; Volume 59, Issue 4 , 2016 , Pages 262-270 ; 00325899 (ISSN) ; Simchi, A ; Sharif University of Technology
Taylor and Francis Ltd
2016
Abstract
The flow behaviour of Al–SiC nanocomposites prepared by mechanical milling and hot powder extrusion methods was studied at different temperatures (350–500°C) and strain rates (0.005–0.5 s−1). The flow of the Powder metallurgy nanocomposites exhibited a peak stress followed by a dynamic flow softening behaviour. It was shown that mechanical milling increased high-temperature strain rate sensitivity of ultrafine-grained (UFG) aluminium while decreasing its flow dependence to temperature. Constitutive analysis of the hot deformation process by Zener–Hollomon parameter (Z) also indicated a remarkable increase in the deformation activation energy (about 40%). Likewise, SiC nanoparticles (up to...
Event related potentials extraction using low-rank tensor decomposition
, Article 30th International Conference on Electrical Engineering, ICEE 2022, 17 May 2022 through 19 May 2022 ; 2022 , Pages 931-935 ; 9781665480871 (ISBN) ; Shamsollahi, M. B ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Event-related potential (ERP) extraction from ongoing electroencephalograph (EEG) and its enhancement is one of the long-established problems in EEG signal processing. Most of the previous studies have focused mainly on the ERP enhancement without considering the multi-dimentional structure of the signal. In order to take advantage of this property, we propose a tensor-based solution with trial-by-trial concatenated ERP data. Then we develop an algorithm based on low-rank Tucker decomposition to detect single trial ERP component with maximized signal to noise ratio (SNR). In other words, by using tensor algebra we consider both self-similarity in intratrials and global correlation in spatial...
LQG Controller Design for Hover Flight Based on Model Helicopter System Identification, Using X-Plane
, M.Sc. Thesis Sharif University of Technology ; Banazadeh, Afshin (Supervisor)
Abstract
The subject of this study is design of a linear quadratic Gaussian controller based on identification of dynamic behavior of unmanned model helicopter “Raptor” in its hover flight. To achieve this end, first, the helicopter linear transfer functions are identified with frequency response method by applying specific inputs to the model of Raptor in the X-Plane software and receiving system outputs via Simulink. Next, using the identified dynamic model of the helicopter, an optimum linear controller is designed for hover flight. As an optimum linear controller needs all the state variables, a Kalman filter is utilized to estimate them, using outputs of various sonsors such as GPS and gyro....
Low-rank Tensor Restoration for ERP extraction
, Article Biomedical Signal Processing and Control ; Volume 87 , 2024 ; 17468094 (ISSN) ; Shamsollahi, M. B ; Sharif University of Technology
2024
Abstract
Event-related potential (ERP) data is essentially multi-dimensional, with correlated data in some spaces. Therefore, matrix and vector analysis results in structural information loss. Tensor decomposition can be used to explore the shared structural information of ERP signal among related conditions. Perceiving the decaying trends of the singular value changes of unfolding matrices indicate that they are low-rank matrices. Based on this assumption, in this work, a low-rank tensor restoration (LTR) method is proposed. An operator splitting method known as the alternating direction method of multipliers (ADMM) is adapted to tackle the proposed optimization problem with orthogonality and...
Elasto-Plastic Design of Thick-Walled FG Vessels under Pressure or Temperature Gradient Loadings
, M.Sc. Thesis Sharif University of Technology ; Kargarnovin, Mohammad Hossein (Supervisor)
Abstract
Nowadays functionally graded materials have many applications in various industries. One of these applications can be the manufacturing of thick-walled vessels. Thick-walled vessels under internal pressure and high temperatures gradient require materials with higher strength, like Functionally Graded Materials (FGM) and can be reinforced by some mechanical processes like autofrettage. In this process under certain loading some part of vessels enters into plastic zone and upon unloading some residual stresses will be generated. Moreover it is very important to find out the depth of this plastic zone, In addition, minimizing the stress distribution vs. depth of plastic zone under applied...
Text Separation of Single-Channel Audio Sources Using Deep Neural Networks
, M.Sc. Thesis Sharif University of Technology ; Motahari, Abolfazl (Supervisor)
Abstract
The problem of separation of audio sources is one of the oldest issues raised in the field of audio processing, which has been studied for more than half a century. The main focus of recent research in this field has been on improving the sound quality resulting from the separation of sound sources with the help of deep neural networks. This is despite the fact that in most applications of audio source separation, such as the application of meeting transcription, we do not need the separated audio of people. Rather, we need a pipeline of converting overlapping speech to text, which, by receiving the audio in which several people have spoken, outputs the text spoken by the people present in...
Differentiating Signals Recorded from Rat Brain in Response to Different Olfactory Stimuli
, M.Sc. Thesis Sharif University of Technology ; Karbalaei Aghajan, Hamid (Supervisor)
Abstract
The olfactory sense in rats provides crucial information for identifying food sources, detecting threats, and facilitating social interactions. The olfactory bulb is one of the key brain regions involved in the initial processing of olfactory information and its transmission to higher brain areas for more complex processing. However, more advanced cognitive processes such as evaluation and decision-making rely on interactions between other brain regions. Among these, the striatum, as a part of the basal ganglia, plays a role in reward evaluation, reward-based learning, and shaping behaviors associated with sensory stimuli. This region contributes to learning, decision-making, and action...
Analysis Of Privacy Challenges In RFID Authentication Protocols
, M.Sc. Thesis Sharif University of Technology ; Aref, Mohammad Reza (Supervisor)
Abstract
Radio Frequency IDentification (RFID) is an increasingly important area in automatic identification. Low cost RFID tags (labels) are considered as the next generation of barcodes and their purpose is to compensate for shortcomings in computer recognition of objects using cameras. Supply chain management, access control, animal identification,e-passports along with the possibility of having e-health, e-agriculture and smart homes are few examples of RFID application developments. Despite its low cost, ubiquity, and widespread usage, RFID tags suffer from several major drawbacks, particularly information leakage and traceability. In RFID authentication protocols, both information leakage and...
Evaluating Effect of Number Representations on the Accuracy of Convolutional Neural Networks
, M.Sc. Thesis Sharif University of Technology ; Bayat Sarmadi, Siavash (Supervisor)
Abstract
Convolutional Neural Networks are a kind of neural network applicable in machine vision and image processing. The accuracy of these networks is dependent on different features such as network size network and input size. Today, researchers are improving the accuracy of neural networks by increasing their size. As a result, networks' computation will increase as well. The bigger the size of the neural network, the harder its hardware implementation. One of the proposed solutions to overcome this issue is to change the number representation while preserving the network accuracy. It's challenging to implement floating-point computation on hardware as it consumes a high amount of power and...
Traceability analysis of quadratic residue-based RFID authentication protocols
, Article 2013 11th Annual Conference on Privacy, Security and Trust, PST 2013 ; 2013 , Pages 61-68 ; 9781467358392 (ISBN) ; Alagheband, M. R ; Aref, M. R ; Sharif University of Technology
2013
Abstract
Since low-cost RFID systems are applied in ubiquitous varied applications, privacy and security of their users became a great concern. Therefore, the various authentication protocols have been proposed. In this paper, we inspect the three new-found RFID authentication protocols based on quadratic residue property via one of the well-organized formal RFID privacy models instead of intuitive analysis. We formally prove that modular squaring is the suitable technique to guarantee RFID authentication protocols against backward traceability. Then, the flaws are alleviated to resist traceability attacks
An experimental study of buffet detection on supercritical airfoils in transonic regime
, Article Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering ; Volume 229, Issue 2 , 2015 , Pages 312-322 ; 09544100 (ISSN) ; Ehghaghi Bonab, M. B ; Soltani, M. R ; Sharif University of Technology
SAGE Publications Ltd
2015
Abstract
Conventional buffet onset methods for a 2D supercritical airfoil, SC0410, in transonic regime for various Mach number and various angles of attack have been surveyed. The existing methods give good results for high subsonic and transonic regimes, but demand a computational procedure to detect the buffet onset. One of these methods, trailing edge pressure divergence, that have been recognized inappropriate in other studies for supercritical airfoils, shows acceptable result at least for the present supercritical airfoil. A new method has been proposed by the authors for transonic regime that is based on the physical definition of the buffet onset from the surface pressure distribution...
Study of Microstructure and Hot Deformation Behavior of Aluminum Nanocomposites Reinforced with SiC Nanoparticles
, M.Sc. Thesis Sharif University of Technology ; Simchi, Abdolreza (Supervisor)
Abstract
Hot deformation behavior of Al-SiC nanocomposites was investigated in this study. Aluminum powders with mean size of 60 micron and SiC nanopowders (mean size of 45nm) in amounts of 1 and 2 volume percents, as reinforced part, were mixed and milled for 40 hours by planetary ball mill. After degassing at 450 oC for 1 hour, milled powders were pressed into Aluminum cans (in Argon atmosphere) and then hot extruded. Extrusion ratio was 1:14. High density billets (with 98% of theoretical density) were produced because of that high extrusion ratio. TEM microstructure studies showed that fine distribution of reinforcements and Aluminum Oxides obtained via this procedure. Hardness and Uniaxial...
Event-Related Potentials Extraction using Dictionary-Based Tensor Decomposition
,
Ph.D. Dissertation
Sharif University of Technology
;
Shamsollahi, Mohammad Bagher
(Supervisor)
Abstract
In electroencephalography (EEG) systems, brain activity is recorded noninvasively through an array of scalp electrodes, enabling the analysis of neural responses to external stimuli. However, interpreting these signals remains challenging due to their low signal-to-noise ratio (SNR), overlapping neural events, and substantial inter-trial and inter-subject variability. These difficulties stem from the inherent complexity, nonlinearity, and nonstationarity of neural data. This study is aimed at analyzing single-trial event-related potentials (ERPs) without relying on conventional averaging techniques, by adopting a structured modeling framework. The proposed approach is based on low-rank...
Comparing half-metallic, MOKE, and thermoelectric behavior of the CrTiZ (Z = As, P) half-Heuslers: A DFT study
, Article Materials Research Express ; Volume 8, Issue 4 , 2021 ; 20531591 (ISSN) ; Zelati, A ; Boochani, A ; Arman, A ; Mirzaei, S ; Sharif University of Technology
IOP Publishing Ltd
2021
Abstract
Structural, half-metallic, magneto-optic, and thermoelectric properties of CrTiZ (Z = As, P) half-Heusleres compounds are investigated based on density functional theory. These compounds have mechanical stability in the ferromagnetic state with a high bulk modulus. They are often half-metallic with a large and integer magnetic moment and are very attractive in spintronics, magneto-optics applications. The magnetic moments of CrTiAs and CrTiP were 2.9865 μB and 3.00 μB, respectively, which were attributed to their ferromagnetic phase. Additionally, the positive sign of the phonon branches indicates the dynamic stability of these compounds. Applying both GGA and mBJ approximations, CrTiAs and...
The Effect of Rudder Angle on Ship’s Fuel Consumption
, M.Sc. Thesis Sharif University of Technology ; Khorasanchi, Mahdi (Supervisor) ; Zare, Arman (Co-Supervisor)
Abstract
The aim of this research is to investigate the effect of speed and direction of current on ship fuel consumption. A KCS benchmark model has been numerically studied in calm water and fourteen current and wind conditions with the same speed and different directions to determine how the ship performance is dependent on flow conditions. The model has been simulated in an artificial basin propelled by a single right-handed propeller via a CFD commercial code. Numerical results revealed a linear relationship between the deviation of current and wind from head-sea or following-sea conditions and the rudder angle. The head-sea and following-sea currents and winds increased and decreased the lateral...
Microstructure and optical properties of Au:N doped diamond-like carbon films: effect of working pressure
, Article Surfaces and Interfaces ; Volume 52 , 2024 ; 24680230 (ISSN) ; Mardani, M ; Shafiekhani, A ; Arman, A ; Luna, C ; Sharif University of Technology
2024
Abstract
In recent years, the incorporation of impurities (metallic or non-metallic) into diamond-like carbon films for industrial and biological applications has garnered considerable attention from researchers. In this study, gold nanoparticles and nitrogen impurities were introduced into diamond-like carbon using a co-deposition method involving Radio Frequency Plasma-Enhanced Chemical Vapor Deposition (RF-PECVD) and Radio Frequency Sputtering (RF-sputtering),modifying the working pressure from 14.5 to 19.5 mTorr. X-ray Diffraction (XRD) patterns confirmed the presence of gold nanocrystals in the samples. The surface morphology of the films was analyzed using images obtained from Scanning Electron...