Abstract
Structural health monitoring (SHM) is a research focus involving a large category of techniques performing in-situ identification of structural damage, stress, external loads, vibration signatures, etc. Among various SHM techniques, those able to monitoring structural deformed shapes are considered as an important category. A novel method of deformed shape reconstruction for thin-walled beam structures was recently proposed by Xu et al. [1], which is capable of decoupling complex beam deformations subject to the combination of different loading cases, including tension/compression, bending and warping torsion, and also able to reconstruct the full-field displacement distributions. However, this method was demonstrated only under a relatively simple loading coupling cases, involving uni-axial bending and warping torsion. The effectiveness of the method under more complex loading cases needs to be thoroughly investigated. In this study, more complex deformations under the coupling between bi-axial bending and warping torsion was decoupled using the method. The set of equations for deformation decoupling was established, and the reconstruction algorithm for bending and torsion deformation were utilized. The effectiveness and accuracy of the method was examined using a thin-walled channel beam, relying on analysis results of finite element analysis (FEA). In the analysis, the influence of the positions of the measurement of surface strain distributions on the reconstruction accuracy was discussed. Moreover, different levels of measurement noise were added to the axial strain values based on numerical method, and the noise resistance ability of the deformation reconstruction method was investigated systematically. According to the FEA results, the effectiveness and precision of the method in complex deformation decoupling and reconstruction were demonstrated. Moreover, the immunity of the method to measurement noise was proven to be considerably strong.
Highlights
Structural health monitoring (SHM) is generally regarded as a large variety of techniques able of performing in-situ identification of structural damage, stress, external loads, vibration signatures, etc
The presence, location and extent of which are considered as three main aspects to be evaluated, is with no doubt an important indicator directly associated with the integrity and safety of structures of interest, structural states, on the other hand, are important information needing increasing attentions, since these mechanical quantities are directly linked with structural operational states, which are vital for DOI:10.32604/sdhm.2019.06323
Different levels of measurement noise were added to the axial strain values based on numerical method, and the noise resistance ability of the deformation reconstruction method was investigated systematically
Summary
Structural health monitoring (SHM) is generally regarded as a large variety of techniques able of performing in-situ identification of structural damage, stress, external loads, vibration signatures, etc. An effective and efficient real-time deformed shape prediction method was developed based on Ko’s theory [17,18,19], where beam-like structures are the main objects under investigation. Ko’s theory has been effectively applied in beam structures under bending case, large difficulty is associated with the task of reconstructing complex deformed shapes under complex loading cases. The method is capable of decoupling complex deformations of thin-walled beam structures subject to the combination of different loading cases, including tension/compression, bi-axial bending and warping torsion. Full-field displacement distribution can be constructed precisely using the decoupled deformation subject to individual loading cases This method was demonstrated only under a relatively simple load coupling case, i.e., the coupling between uni-axial bending and warping torsion. The immunity of the method to measurement noise was proven to be considerably strong
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