Abu Husain, Nurulakmar and Ouyang, H. (2011) Detection of damage in welded structure using experimental modal data. Journal of Physics: Conference Series, 305 (1). 001-011. ISSN 1742-6588
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Official URL: http://dx.doi.org/10.1088/1742-6596/305/1/012120
A typical automotive structure could contain thousands of spot weld joints that contribute significantly to the vehicle's structural stiffness and dynamic characteristics. However, some of these joints may be imperfect or even absent during the manufacturing process and they are also highly susceptible to damage due to operational and environmental conditions during the vehicle lifetime. Therefore, early detection and estimation of damage are important so necessary actions can be taken to avoid further problems. Changes in physical parameters due to existence of damage in a structure often leads to alteration of vibration modes; thus demonstrating the dependency between the vibration characteristics and the physical properties of structures. A sensitivity-based model updating method, performed using a combination of MATLAB and NASTRAN, has been selected for the purpose of this work. The updating procedure is regarded as parameter identification which aims to bring the numerical prediction to be as closely as possible to the measured natural frequencies and mode shapes data of the damaged structure in order to identify the damage parameters (characterised by the reductions in the Young's modulus of the weld patches to indicate the loss of material/stiffness at the damage region).
|Uncontrolled Keywords:||automotive structures, damage parameter, damaged structures, dynamic characteristics, early detection, environmental conditions, manufacturing process, modal data, mode shapes, model updating, nastran, numerical predictions, physical parameters, spot weld, structural stiffness, vibration characteristics, vibration modes, welded structures, young's modulus|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
|Deposited By:||Liza Porijo|
|Deposited On:||29 Nov 2012 07:45|
|Last Modified:||13 Feb 2017 03:24|
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