Presented a method based on the decreases in modal

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quencies response functions and showed how changes in those parameters could be used to locate the fault. Presented a method based on the decreases in modal strain energy between two structural degrees of freedom as defined by the curvature of the measured mode shapes. This method as been successful applied to data from a damaged bridge [ 12 ] . The absolute changes in mode shape curvature can be a good indicator of damage for the FEM beam structure they considered [ 9 ] . The displacement functions converted into curvature function, which are further processed to yield a damage index. * Corresponding author. E-mail address : dmreddy [email protected] Published by World Academic Press, World Academic Union
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148 D. Reddy & S. Swarnamani : Application of the FRF curvature energy damage detection method A comprehensive literature review of damage detection methods using vibration signals for structural and mechanical systems is provided [ 4 ] . Later in place of using the displacement mode shapes. Strain or curvature shapes (surface strain in a beam is proportional to curvature) are more effective at identifying the location of damage [ 8 ] . A method which requires that the mode shapes before and after damage be known, but the modes do not need to be mass normalized and only a limited to structures that are characterized by one dimensional curvature [ 3 ] . A method for locating structural damage using experimental vibration data uses measured frequency response functions to obtain displacement as function of frequency [ 10 ] . Conducted some experimental aspects of dynamic response - based damage detection technique on Car- bon/epoxy composites are addressed. Smart piezoelectric materials are used as sensors (or) actuators to acquire the curvature mode shapes of the structures. These materials are surface bonded to the beams. An impulse hammer is used as an actuating source as well four types of damage algorithms are evaluated for several possible damage configurations with two different excitations sources. The quality of damage identification with the four different detection algorithms is discussed [ 6 ] . A neural network approach that uses vibration and thermal signatures to determine the condition of a composite sandwich structure is proposed. Method can work jointly to complement each other in detecting the state of a sandwich composite structure [ 2 ] . Structural damage identification methods based on changes in the dynamic characteristics of the structure are examined and new methodology is also developed [ 11 ] . Acceleration responses energy based damage detection strategy, numerical analysis on long-span cable stayed bridge is performed by using the proposed method and the tra- ditional mode shape curvature strategy, and at the same time damage quantification analysis and robustness analysis for noise pollution are carried out [ 14 ] . An overview of some of the methods of health monitoring for damage detection, applications of different techniques to bridges and critical issues for further research and development [ 13 ] .
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  • Fall '19
  • World Journal of Modelling and Simulation, D. Reddy

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