9 March 2014 A vision-based technique for damage assessment of reinforced concrete structures
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Abstract
The most common damage assessment technique for concrete structures is visual inspection (VI). Condition assessed by VI is subjective in nature, meaning it depends on the experience, knowledge, expertise, measurement accuracy, mental attention, and judgment of the inspector carrying out the assessment. In many post-event assessments, cracks data including width and pattern provide the most indicative information about the health or damage state of the structure. Residual cracks are sometimes the only available data for VI. However, due to adjacent elastic members, earthquake displacement spectrum, or re-centering systems, these measurements may lead to erroneous decisions. To overcome this problem, this paper proposes a novel damage index based upon Fractal Dimension (FD) analysis of residual cracks as a complementary method for VI. FD can quantify crack patterns and enhance the routine inspection procedure by establishing a crack pattern recognition system. This algorithm was validated through an experimental study on a large scale reinforced concrete shear wall (RCSW). The results demonstrate the novel technique as a quite accurate estimator for damage grades and stiffness loss of the wall.
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Alireza Farhidzadeh, Alireza Farhidzadeh, Arvin Ebrahimkhanlou, Arvin Ebrahimkhanlou, Salvatore Salamone, Salvatore Salamone, } "A vision-based technique for damage assessment of reinforced concrete structures", Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 90642H (9 March 2014); doi: 10.1117/12.2044875; https://doi.org/10.1117/12.2044875
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