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Total 103 records

    Damage detection in an offshore jacket platform using genetic algorithm based finite element model updating with noisy modal data

    , Article Procedia Engineering, Solo, Jawa Tengah ; Volume 54 , March , 2013 , Pages 480-490 ; 18777058 (ISSN); 9781627486354 (ISBN) Malekzehtab, H ; Golafshani, A. A ; Sharif University of Technology
    2013
    Abstract
    Offshore jacket platforms are one of the most motivating structures for damage detection due to their importance and productivity. In this study, the application of finite element model updating in damage detection of an offshore jacket platform is investigated. The objective function of this method is based on the measured and analytical modal data, including natural frequencies and mode shapes. However, the measured data is expected to be noisy. Also, to avoid obtaining false damage results, a penalty term is added to the objective function. To update the model, genetic algorithm is utilized as a robust global searching tool. Afterward, the efficiency of this method is evaluated on several... 

    Evaluation of the sparse reconstruction and the delay-and-sum damage imaging methods for structural health monitoring under different environmental and operational conditions

    , Article Measurement: Journal of the International Measurement Confederation ; Volume 169 , 2021 ; 02632241 (ISSN) Nokhbatolfoghahai, A ; Navazi, H. M ; Groves, R. M ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    In this paper, the performance of the sparse reconstruction (SR) and the delay-and-sun (DAS) methods for damage localization, were evaluated for various environmental and operational conditions, both numerically and experimentally. To assess these damage localization methods, a methodology based on the Taguchi method was used to make the experimental design, and a modified performance-index was defined to represent the quality of reconstructed images. Then, the robustness and the accuracy of each method, in a well-defined performance region relevant to in-service aerospace structures, were investigated using the Taguchi and analysis of variance methods. It was concluded that for the defined... 

    Study of Pattern of Sensor Installation for Analysis of Offshore Jacket Behavior

    , M.Sc. Thesis Sharif University of Technology Joorabchian, Abbas (Author) ; Golafshani, Ali Akbar (Supervisor)
    Abstract
    Nowadays, many offshore jacket platforms have been built in all over the world for excavating oil and gas. Due to cost of construction and maintenance, they are considered as national assets. Jacket platforms are always under various types of loads in their time life, so they cause some damages to them. Hence, on time damage detection can prevent possible extravagant costs of repair and reconstruction. Because many jacket platforms are in Iran, this issue can be very important.Structural health monitoring (SHM) improvised to ensure safety and detect damages of structures uses sensors. They transfer data received from structures to the computers in order that after interpretation of data,... 

    Adaptive Lossless Image Compression of Pipelines in Smart Structures

    , M.Sc. Thesis Sharif University of Technology Seraji, Amir (Author) ; Mortazavi, Mohammad (Supervisor) ; Ghorshi, Mohammad Ali (Supervisor)
    Abstract
    Structural Health Monitoring (SHM) means to give a diagnosis of the “state” of the subjects. Small leaks along the entire lengths of oil pipelines are detected and located by monitoring.Nowadays health monitoring of pipeline in water, gas, oil and chemical industry has been the focus of researchers. This is due to the fact that leak accidents may cause great economic problems to human resources as well as extreme environmental pollution. This project focuses on a visual and photographic observation system as leakage detection to monitor long range pipelines. In this system, several cameras with overlapping views are located along the entire lengths of pipelines. We are using digital cameras... 

    Damage detection of offshore jacket structures using frequency domain selective measurements

    , Article Journal of Marine Science and Application ; Volume 12, Issue 2 , June , 2013 , Pages 193-199 ; 16719433 (ISSN) Kianian, M ; Golafshani, A. A ; Ghodrati, E ; Sharif University of Technology
    2013
    Abstract
    The development of damage detection techniques for offshore jacket structures is vital to prevent catastrophic events. This paper applies a frequency response based method for the purpose of structural healthCgreater detection efficiency. In addition, the performance of the proposed method was evaluated in relation to multiple damages. The aforementioned points are illustrated using the numerical study of a two dimensional jacket platform, and the results proved to be satisfactory utilizing the proposed methodology  

    High performance grout connection for pre-cast concrete structures

    , Article International Conference on Sustainable Construction Materials and Technologies, Coventry, 11 June 2007 through 13 June 2007 ; 2007 , Pages 479-485 ; 9780415446891 (ISBN) Alizadeh Kharazi, M ; Sharif University of Technology
    2007
    Abstract
    Connections have very important role in pre-cast concrete structures, especially in seismic zones, and grout connections increase strength and resistance of pre-cast concrete structures for lateral forces. High performance grout connections (HPGC) provide new opportunities to design cost-effective pre-cast concrete structures. HPGC have been proposed to decrease cost of insulation, erection and crane cost of pre-cast concrete structures and to overcome weakness of traditional pre-cast concrete structure connections .This research focuses on properties of grout materials properties which produced in Iran and the effect of propylene fiber on the performance of grout connection. In the first... 

    Identification of Damage Type and Location in Reinforced Concrete Piers of Slab– Beam Bridges Using Numerical Methods

    , M.Sc. Thesis Sharif University of Technology Hemmati, Omid (Author) ; Ahmadizadeh, Mahdi (Supervisor)
    Abstract
    Bridges are among the crucial elements of transportation networks, and play an important role in facilitating emergency relief efforts following earthquakes. For this reason, it is emparative to monitor their damages to ensure about their performace in earthquakes. The structure of a bridge is divided into two parts, namely the superstructure and substructure. Due to the relatively high rigidity and strength of superstructures, most of structural damage is usually concentrated in substructures, which may ultimately affect the overall stability of the bridge. Therefore, assessing the level of damage in the substructure is of utmost concern. This research attempts to evaluate the damage in the... 

    Using Bayesian Approach in Life Management of a Monitored Structural System

    , M.Sc. Thesis Sharif University of Technology Keshvarifard, Amir Hossein (Author) ; Adibnazari, Saeed (Supervisor)
    Abstract
    In presence of epistemic and aleatoric uncertainties of the structural systems, it is better to investigate the events in probabilistic manner. Bayesian inference is an approach that can update the current knowledge of probabilities with new evidence. The main objective of this study was evaluating the advanteges of using Bayesian approach in two main area of structural health monitoring, model calibration and decision making. In each of these two areas, one case study was conducted. First case study was prediction of crack growth life in a pre-cracked aluminum plate and the results showed that using Bayesian approach in calibration of crack growth model and measurement model of health... 

    Numerical Simulation of Acoustic Emission Waves for Structural Health Monitoring

    , M.Sc. Thesis Sharif University of Technology Miraskari, Mohammad (Author) ; Behzad, Mehdi (Supervisor) ; Sayyaadi, Hassan (Supervisor)
    Abstract
    The aim in the current thesis is to introduce a powerful method based on quantitative Acoustic Emission approach for structures health monitoring in a way that the proposed method can be used for industrial purposes. In order to do this, after presenting a survey on moment tensor concept and its relation to crack nucleation in solids, the equivalent forces of crack initiation are calculated. These forces are then applied on the meshed area of a 2D finite element model. The corresponding result is the propagation of acoustic waves which are modeled by using finite element analysis. After waveform data acquisition in the imaginary sensor positions and implying source location analysis, the... 

    Structural Health Monitoring and Damage Detection of Pipelines

    , M.Sc. Thesis Sharif University of Technology Mohammadi Jirandeh, Hamed (Author) ; Haj Sadeghi, Khosro (Supervisor)
    Abstract
    Pipelines are the preferred means for transporting of liquid or gas phase materials. The economy of many countries is extremely dependent upon a large network of pipelines systems to transport and distribute the nation’s energy resources. Damages to the pipe structure may cause leakage and result in economic losses or even loss of life. Developing methods for detecting the anomalies and damages to the structure before they lead to catastrophic events is vital. Multiple pipeline misadventures over the past several years have resulted in hundreds of fatalities and billions of dollars in property damages. These accidents demonstrate that the current monitoring methods are not sufficient... 

    Structural Health Monitoring of Buried Pipelines Using Piezoelectric Sensor

    , M.Sc. Thesis Sharif University of Technology Dezfouli, Siavash (Author) ; Zabihollah, Abolghasem (Supervisor)
    Abstract
    Large-size buried pipelines are an efficient way of transporting of water, waste water, sewage, gas, and oil resources in across the world. Since the buried pipe lines are exposed to many unexpected conditions, such as landslides, corrosion, fatigue, unexpected loading, earthquakes, material flaws or even intentional damaging, so the inspection requirements lead to adoption of new method of maintenance, protection and conserving of pipelines. This proposed project aims to improve the trustworthiness, reliable, yet economical technologies for monitoring of behavior of buried pipe lines during operation and assessing the risk of pipe lines failure. Piezoelectric sensor is bonded on the surface... 

    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 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... 

    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...