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    Design and Implementation of Wearable Sensor for Cardiac Arrhythmia Detection

    , M.Sc. Thesis Sharif University of Technology Banaei Kashani, Amir Ali (Author) ; Fakharzadeh Jahromi, Mohammad (Supervisor)
    Abstract
    Today, by emerging wearable technologies and digital health, it is possible to constantly monitor vital signals of people without time-consuming and costly referrals to medical centers. Applications of wearable sensors for health monitoring include electrocardiograms (ECG), blood pressure measurement, and blood sugar measurement, etc. One of the important fields of health monitoring is cardiac arrhythmia detection. Cardiac arrhythmia is any kind of anomalies in heart beat rhythm that can lead to serious damage to vital organs of the body. It is estimated that between 750 thousand to 1.5 million people are facing cardiac arrhythmia in Iran. Therefore, early detection of cardiac arrhythmia is... 

    An empirical time-domain trend line-based bridge signal decomposing algorithm using Savitzky–Golay filter

    , Article Structural Control and Health Monitoring ; Volume 28, Issue 7 , 2021 ; 15452255 (ISSN) Kordestani, H ; Zhang, C ; Masri, S. F ; Shadabfar, M ; Sharif University of Technology
    John Wiley and Sons Ltd  2021
    Abstract
    This paper develops a trend line-based algorithm for signal decomposition in which the adjusted Savitzky–Golay filter is utilized to initiate the decomposition process. In this line, the proposed algorithm determines some special trend lines, mainly composed of the natural frequency of a bridge. An easy-to-implement algorithm is then provided to formulate this process and to decompose the given signal into its components in a systematic way. Additionally, a residual signal is generated by the proposed algorithm to store the detected noise and to reconstruct the original signal. To verify the proposed algorithm in the field of bridge health monitoring, a set of numerical and experimental... 

    Arc length method for extracting crack pattern characteristics

    , Article Structural Control and Health Monitoring ; Volume 28, Issue 1 , 2021 ; 15452255 (ISSN) Asjodi, A. H ; Daeizadeh, M. J ; Hamidia, M ; Dolatshahi, K. M ; Sharif University of Technology
    John Wiley and Sons Ltd  2021
    Abstract
    Although manual crack inspection has been widely used for structural health monitoring over the last decades, the development of computer vision methods allows continuous monitoring and compensates the human judgment inaccuracy. In this study, an image-based method entitled Arc Length method is introduced for extracting crack pattern characteristics, including crack width and crack length. The method contains two major steps; in the first step, the crack zones are estimated in the whole image. Afterwards, the algorithm finds the start point, follows the crack pattern, and measures the crack features, such as crack width, crack length, and crack pattern angle. The efficiency of the method is... 

    Machine learning-based seismic damage assessment of non-ductile RC beam-column joints using visual damage indices of surface crack patterns

    , Article Structures ; Volume 45 , 2022 , Pages 2038-2050 ; 23520124 (ISSN) Hamidia, M ; Mansourdehghan, S ; Asjodi, A. H ; Dolatshahi, K. M ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    After a significant earthquake, the updated status of the structural elements is usually determined based on a qualitative visual inspection. Although visual inspection provides a prompt assessment of the damaged elements, the output of this subjective method is influenced by the experience and decision of a trained inspector, which may vary from case to case. In this study, an innovative machine learning-based procedure is developed to automate damage state identification of non-ductile reinforced concrete moment frames (RCMFs) utilizing visual indices of crack patterns of the concrete surface. An extensive database including 264 surface crack patterns is constructed corresponding to 61... 

    Structural Parameters Estimation Using Response Power Spectral Density

    , M.Sc. Thesis Sharif University of Technology Gharechaei, Maryam (Author) ; Rahimzade Rofouei, Fayyaz (Supervisor) ; Esfandiari, Akbar (Supervisor)
    Abstract
    Damage and collapse in structural systems due to structural loads are considered as a threat to human lives. Therefore, using structural health monitoring methods in order to estimate structural damages and preventing structural collapse, have drawn a lot of attention. Due to the importance of considering random vibration, a nondestructive damage detection method using power spectral density function has presented in this study. This method is based on model updating and solving the sensitivity equations and it is also a model based method. The mentioned method can be classified as a vibration-based health monitoring method in frequency domain which includes dynamic excitation in some... 

    Vibration monitoring of wind turbine blade using fiber bragg grating

    , Article Wind Engineering ; Volume 34, Issue 6 , 2010 , Pages 721-731 ; 0309524X (ISSN) Fattahi, S. J ; Zabihollah, A ; Zareie, S ; Sharif University of Technology
    2010
    Abstract
    Rapid growth in generating power from wind turbines led to application of long laminated composite blades. However, as the length of blades increases, the risk of failure due to excessive vibration increases. Therefore, a reliable wind power generator requires an efficient and accurate, yet economical structural health monitoring system to detect vibration and apply a reliable control to prevent from unpredicted failure. This paper presents an optimal, low cost and continuous vibration monitoring system for laminated composite blades using Fiber Bragg Grating (FBG). Utilizing a layerwise displacement theory, the Finite Element (FEM) model has been developed for the wind turbine blade. The... 

    Structural health monitoring of buried pipelines under static dislocation and vibration

    , Article Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010, 15 July 2010 through 17 July 2010 ; 2010 , Pages 325-329 ; 9781424471010 (ISBN) Dezfouli, S ; Zabihollah, A ; Sharif University of Technology
    Abstract
    Buried pipe lines are an efficient way of transporting of water, sewage, oil, and gas resources in all over the world. Since the buried pipe lines are exposed to many unexpected conditions, such as landslides, corrosion, fatigue, earthquakes, material flaws or even intentional damaging, so the inspection requirements lead to adoption of new method of maintenance, protection and conserving. This report aims to improve the trustworthiness, reliability, yet economical technologies for monitoring of behavior and manner of buried pipe lines during operation and assessing the risk of pipe lines failure. Distributed sensors (piezoelectric) are surface designed and embedded to investigate the... 

    Application of vibration based technique in health monitoring of multi-stable laminated composites

    , Article TIC-STH'09: 2009 IEEE Toronto International Conference - Science and Technology for Humanity, 26 September 2009 through 27 September 2009, Toronto, ON ; 2009 , Pages 170-175 ; 9781424438785 (ISBN) Ghaffari, H ; Saeedi, E ; Zabihollah, A ; Ahmadi, R ; Sharif University of Technology
    Abstract
    This paper deals with the problem of vibration based health monitoring (VHM) in multi-stable asymmetrical laminated composite structures. Multi-stable asymmetrical laminates can be snapped between two or more geometries. The ability of snapping between two or more geometries in multistable composite structures makes them vulnerable to delaminate. Because of these reason early detection of damage in these systems during their service life is receiving increasing attention. In the present work, an efficient and accurate finite element model (FEM) based on layer-wise theory by considering the electro-mechanical coupling effect has been developed to investigate the actuation and /or sensing... 

    Vibration based damage detection in smart non-uniform thickness laminated composite beams

    , Article TIC-STH'09: 2009 IEEE Toronto International Conference - Science and Technology for Humanity, 26 September 2009 through 27 September 2009, Toronto, ON ; 2009 , Pages 176-181 ; 9781424438785 (ISBN) Ghaffari, H ; Saeedi, E ; Zabihollah, A ; Ahmadi, R ; Sharif University of Technology
    Abstract
    Laminated composite beams with non-uniform thickness are being used as primary structural elements in a wide range of advanced engineering applications. Tapered composite structures, formed by terminating some of the plies, create geometry and material discontinuities that act as sources for delamination initiation and propagation. Any small damage or delamination in these structures can progress rapidly without any visible external signs. Due to this reason early detection of damage in these systems during their service life is receiving increasing attention. The presence of a crack in a component or structure leads to changes in its global dynamic characteristics results in decreases in... 

    Inverse vibration technique for structural health monitoring of offshore jacket platforms

    , Article Applied Ocean Research ; Volume 62 , 2017 , Pages 181-198 ; 01411187 (ISSN) Haeri, M. H ; Lotfi, A ; Dolatshahi, K. M ; Golafshani, A. A ; Sharif University of Technology
    Elsevier Ltd  2017
    Abstract
    In this paper a new approach is introduced for structural health monitoring of offshore jacket platforms. The procedure uses the measured ambient vibration responses and the corresponding readable natural frequencies and mode shapes of the structural system. Since offshore platforms are composed of heavy topsides supported by jacket structures, participation of the first mode is dominant in each direction in the response of the structure under field excitations. Moreover, ambient vibrations such as wave loads and boat impacts only excite the first modes of the structure. Therefore, it is difficult to find higher modes and the pertinent frequencies by use of accelerometers data. The... 

    Predictive equations for drift ratio and damage assessment of RC shear walls using surface crack patterns

    , Article Engineering Structures ; Volume 190 , 2019 , Pages 410-421 ; 01410296 (ISSN) Momeni, H ; Dolatshahi, K. M ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    The purpose of this paper is to quantify the extent of damage of rectangular reinforced concrete shear walls after an earthquake using surface crack patterns. One of the most important tasks after an earthquake is to assess the safety and classify the performance level of buildings. This assessment is usually performed by visual inspection that is prone to significant errors. In this research, an extensive database on the images of damaged rectangular reinforced concrete shear walls is collected from the literature. This database includes more than 200 images from experimental quasi-static cyclic tests. Using the concept of fractal geometry, several probabilistic models are developed by... 

    Structural Health Monitoring of Oil Pipeline Using Guided Lamb Waves

    , M.Sc. Thesis Sharif University of Technology Jamei, Reza (Author) ; Zabihollah, Abolghasem (Supervisor) ; Selk Ghafari, Ali (Supervisor)
    Abstract
    Pipeline systems are one of the cheapest ways for distribution and transportation of petroleum and natural gas. The testing of pipes used in the petroleum industry is necessary to avoid unplanned process interruptions, environmental pollution and provide good safety. One of the methods which is used for pipeline inspection is the ultrasonic non-destructive testing (NDT) technique. The use of conventional NDT techniques such as ultrasonic thickness gauging is a slow inspection process, which becomes very expensive when full inspection is needed. Ultrasonic guided waves provide an appropriate fast screening technique. These waves stress the whole pipe wall and propagate along the length of the... 

    Investigation of Damage and Wearing Mechanism of Aircraft Structural Components

    , M.Sc. Thesis Sharif University of Technology Tashi, Samaneh (Author) ; Abedian, Ali (Supervisor)
    Abstract
    Damage detection by Piezoelectric Wafer Active Sensors is one of the emerging efficient and dominant Structural Health Monitoring (SHM) methods. These sensors assess the health state of the structure due two strategies: a) near-field damage detection, b) far-field damage detection. The far-field damage detection is based on the high frequency Lamb wave propagation. As wave travels in a damaged structure, phase and amplitude of the wave will be changed. So comparison of the received signal from the pristine structure with damaged structure can give useful information about the health state of the structure. As PWAS is the essential part of this method, simulation and modeling of this sensors... 

    Structural Health Monitoring of composite Plates with Piezoelectric WaferActive Sensors

    , M.Sc. Thesis Sharif University of Technology Soltani, Zahra (Author) ; Abedian, Ali (Supervisor)
    Abstract
    Cost-effective and reliable damage detection is critical for utilization of composite materials. This research investigates a wavelet-based approach for SHM and detection of through-thickness crack in different lengths and angles in [0/45/-45/90]s CF/EP composite plate utilizing ANSYS finite element method (FEM) software and digital signal processing technique utilizing MATLAB software. To this end, a dual-PZT actuation scheme is applied, aimed at generating the S0 mode at a square composite plate. This study contributes to the damage detection by developing an improved wavelet-based signal processing technique that enhances the visibility and interpretation of the Lamb wave signals related... 

    Damage Detection of Offshore Jacket Platforms Using Fitting Vibration Data

    , M.Sc. Thesis Sharif University of Technology Bahador, Mohammad Mahdi (Author) ; Ali Akbar, Golafshani (Supervisor)
    Abstract
    In the regard of structural health monitoring the identification of the structural modal parameters is essential. Since the different sources (wind, waves, Devices …) induce vibration on an offshore platform, it is impossible to determine the portion of each source in vibration. Thus the methods that analyze vibrations needless of input measurements are more efficient. These methods apply the ambient factors and obtain the modal properties from the structural response. This procedure has no unwanted effect on the serviceability of structure and by placement of sensors on the platform; one can monitor the structural health.
    In the present work a two dimensional jacket offshore platform... 

    Seismic Vulnerability Assessment of Masonry Walls by Signal Processing

    , M.Sc. Thesis Sharif University of Technology Shahravesh, Masoud (Author) ; Bakhshi, Ali (Supervisor)
    Abstract
    In this study, damage detection of brick masonry walls using a unique signal processing technique has been addressed. Firstly, the pushover analysis and the calibration of the model is performed. Then, the dynamic analysis of the wall under earthquake excitation in three cases with different aspect ratios is conducted. Finally the dynamic properties of the system, namely natural frequency and modal damping ratio, are identified using continuous wavelet transform. The advantage of wavelet transform is its fine time-frequency resolution. The Morlet mother wavelet is used since it can provide the best time-frequency resolution based on Heisenberg uncertainty principle. Afterwards, the... 

    Probabalistic Damage Detection of Ofshore Platforms

    , M.Sc. Thesis Sharif University of Technology Ghyabi, Mehrdad (Author) ; Golafshani, Ali Akbar (Supervisor)
    Abstract
    High construction and installation costs of offshore platforms, and also harsh environments in which they operate, make health monitoring of these structures more important. Conventional methods to solve the health monitoring problem are deterministic, whereas much uncertainties are imposed to the problem. In most methods of health monitoring methods we try to identify natural frequencies and mode shapes of structures by using its dynamic response. This set of data is then compared to results of modal analysis performed on a finite element model of structure in order to detect any possible damage. In deterministic methods each response of structure is pertained to one damage state, in a... 

    Damage Detection of Lapjoints with Piezoelectric Wafer Active Sensor

    , M.Sc. Thesis Sharif University of Technology Yazdandoos, Fatemeh (Author) ; Abedian, Ali (Supervisor)
    Abstract
    Structural Health Monitoring (SHM) is a multidisciplinary emerging research field. SHM assesses the health state of the structure through processing and interpreting of signals and can predict remain life of the structure. Damage detection with Piezoelectric Wafer Active Sensors (PWAS) is one of the effective and emerging methods of SHM. One of the most critical parts of aerial structures is lap joints in which SHM could be very effective. In this research, damage detection of lap joints using lamb wave propagation has been studied. A 3D model of an aluminum lap joint presented. The PWAS are modeled separately and bonded to the host structure and coupled electromechanically with the... 

    Modeling and Structural Health Monitoring of 5 MW Wind Turbine Based on Moving Principal Component Analysis

    , M.Sc. Thesis Sharif University of Technology Majidi Pishkenari, Mohsen (Author) ; Abedian, Ali (Supervisor)
    Abstract
    Nowadays, the structural health monitoring is considered as an essential element in improving the performance of the structures. The role and importance of the issues in this area have been reached to the point that different ideas and policies are developed for the safety margin over the useful life of the structures. To analyze more accurately, a real model of a turbine blade is required. This issue would be taken into more consideration when the scale of the turbine gets larger. Changing of the design philosophies over time results in effective changes in the design process and maintenance procedures. Any single of these inspections has different importance according to users' demands. In... 

    Structural Health Monitoring based on Emprical Wavelet Transform and Fuzzy Logic

    , M.Sc. Thesis Sharif University of Technology Asadi Zeidabadi, Abbas (Author) ; Bakhshi, Ali (Supervisor) ; Ghodrati Amiri, Gholamreza (Supervisor)
    Abstract
    Performance of civil infrastructures, such as high-rise buildings, bridges, tunnels, offshore platforms and other structures may be critically influenced by existence of structural damages or even lead to devastating consequences. Structural Health Monitoring(SHM) and damage detection denotes the ability to monitor the performance of structure, detect and assess any damage at the earliest stage in order to reduce the life-cycle cost of structure and improve its reliability and safety. Generally, damage is defined as some changes in the physical properties of a structure, such as stiffness matrix. On the other hand, presence of damage causes changes in structural dynamic characteristics, such...