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    A semi-baseline damage identification approach for complex structures using energy ratio correction technique

    , Article Structural Control and Health Monitoring ; Volume 25, Issue 2 , February , 2018 ; 15452255 (ISSN) Alem, B ; Abedian, A ; Sharif University of Technology
    John Wiley and Sons Ltd  2018
    Abstract
    Because damage identification results based on the Lamb waves propagation approach can be influenced by varying environmental and operational conditions, development of a robust monitoring system with no need of the prior measured data of the structure has gained much attention recently. The instantaneous baseline damage detection technique is one of the promising methods that overcome the mentioned obstacles. For this, the material properties, electromechanical characteristics, and the geometric features must be identical. Also, sensor distances in similar paths and the geometric dimensions of the transducers must be the same. So, implementing the instantaneous baseline damage... 

    Advanced damage detection technique by integration of unsupervised clustering into acoustic emission

    , Article Engineering Fracture Mechanics ; 2018 ; 00137944 (ISSN) Behnia, A ; Chai, H. K ; GhasemiGol, M ; Sepehrinezhad, A ; Mousa, A. A ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    The use of acoustic emission (AE) technique for damage diagnostic is typically challenging due to difficulties associated with discrimination of events that occur during different stages of damage that take place in a material or a structure. In this study, an unsupervised kernel fuzzy c-means pattern recognition analysis and the principal component method were utilized to categorize various damage stages in plain and steel fiber reinforced concrete specimens monitored by AE technique. Enhancement of the discrimination and characterization of damage mechanisms were achieved by processing time and frequency domain data. Both domains (time and frequency) were taken into account to propose new... 

    Advanced damage detection technique by integration of unsupervised clustering into acoustic emission

    , Article Engineering Fracture Mechanics ; Volume 210 , 2019 , Pages 212-227 ; 00137944 (ISSN) Behnia, A ; Chai, H. K ; GhasemiGol, M ; Sepehrinezhad, A ; Mousa, A. A ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    The use of acoustic emission (AE) technique for damage diagnostic is typically challenging due to difficulties associated with discrimination of events that occur during different stages of damage that take place in a material or a structure. In this study, an unsupervised kernel fuzzy c-means pattern recognition analysis and the principal component method were utilized to categorize various damage stages in plain and steel fiber reinforced concrete specimens monitored by AE technique. Enhancement of the discrimination and characterization of damage mechanisms were achieved by processing time and frequency domain data. Both domains (time and frequency) were taken into account to propose new... 

    Optimal sensors layout design based on reference-free damage localization with lamb wave propagation

    , Article Structural Control and Health Monitoring ; Volume 27, Issue 4 , 10 January , 2020 Keshavarz Motamed, P ; Abedian, A ; Nasiri, M ; Sharif University of Technology
    John Wiley and Sons Ltd  2020
    Abstract
    This study presents a new approach for designing optimal sensors layout based on accuracy of defect mapping. It is obtained from combination of the reference-free damage detection technique and the probability-based diagnostic imaging method. Considering damage indices based on continuous wavelet transform of sensors signals, the core of this study involves with development of a database of continuous wavelet transform features of a crack. In fact, the database contains the data from 594 different states in crack positions, orientations, and the considered sensing path lengths. Eventually, this database is used for localization of damage by interpolating the stored data collected from the... 

    Health monitoring of structures using few frequency response measurements

    , Article Scientia Iranica ; Volume 17, Issue 6 A , NOVEMBER-DECEMBER , 2010 , Pages 493-500 ; 10263098 (ISSN) Golafshani, A. A ; Kianian, M ; Ghodrati, E ; Sharif University of Technology
    2010
    Abstract
    The development of damage detection techniques for offshore jacket structures is vital for preventing catastrophic events. This paper applies a frequency response based method for the purpose of structural health monitoring. In this approach, the concept of a minimum rank perturbation theory is used. The feasibility of using a finite number of sensors and its effect on damage detection capabilities is investigated. In addition, the performance of the proposed method is evaluated in the case of multiple damages. The aforementioned points are illustrated using the numerical study of a two dimensional jacket platform  

    Reference-Free damage identification in Plate-Like structures using Lamb-Wave propagation with embedded piezoelectric sensors

    , Article Journal of Aerospace Engineering ; Volume 29, Issue 6 , 2016 ; 08931321 (ISSN) Alem, B ; Abedian, A ; Nasrollahi nasab, K ; Sharif University of Technology
    American Society of Civil Engineers (ASCE) 
    Abstract
    Structural health monitoring (SHM) has been adopted in the aircraft and civil industries over the last two decades. The ultrasonic guided wave propagation technique is a promising damage detection approach in airplane thin wall structures because of their long distance traveling ability and low attenuation. In fact, by efficiently designing the pattern of sensors one can effectively pick up the changes that happen in propagated signals due to presence of any kind of structural damage. This detection approach could be effectively assisted by numerical simulation techniques like finite-element modeling. To obtain a damage detection algorithm based on instantaneous baseline data, the...