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Structural Engineering and Mechanics Volume 54, Number 1, April10 2015 , pages 105-119 DOI: https://doi.org/10.12989/sem.2015.54.1.105 |
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An improved modal strain energy method for structural damage detection, 2D simulation |
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Parviz Moradipour, Tommy H.T. Chan and Chaminda Gallage
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| Abstract | ||
| Structural damage detection using modal strain energy (MSE) is one of the most efficient and reliable structural health monitoring techniques. However, some of the existing MSE methods have been validated for special types of structures such as beams or steel truss bridges which demands improving the available methods. The purpose of this study is to improve an efficient modal strain energy method to detect and quantify the damage in complex structures at early stage of formation. In this paper, a modal strain energy method was mathematically developed and then numerically applied to a fixed-end beam and a three-story frame including single and multiple damage scenarios in absence and presence of up to five per cent noise. For each damage scenario, all mode shapes and natural frequencies of intact structures and the first five mode shapes of assumed damaged structures were obtained using STRAND7. The derived mode shapes of each intact and damaged structure at any damage scenario were then separately used in the improved formulation using MATLAB to detect the location and quantify the severity of damage as compared to those obtained from previous method. It was found that the improved method is more accurate, efficient and convergent than its predecessors. The outcomes of this study can be safely and inexpensively used for structural health monitoring to minimize the loss of lives and property by identifying the unforeseen structural damages. | ||
| Key Words | ||
| modal strain energy; degree-of-freedom (DOF); finite element method (FEM); vibration based damage detection; structural damage | ||
| Address | ||
| Parviz Moradipour, Tommy H.T. Chan and Chaminda Gallage: School of Civil Engineering & Built Environment, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4001, Australia | ||