27 March 2018 Medium change based image estimation from application of inverse algorithms to coda wave measurements
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Abstract
Perturbations worked as extra scatters will cause coda waveform distortions; thus, coda wave with long propagation time and traveling path are sensitive to micro-defects in strongly heterogeneous media such as concretes. In this paper, we conduct varied external loads on a life-size concrete slab which contains multiple existing micro-cracks, and a couple of sources and receivers are installed to collect coda wave signals. The waveform decorrelation coefficients (DC) at different loads are calculated for all available source-receiver pair measurements. Then inversions of the DC results are applied to estimate the associated distribution density values in three-dimensional regions through kernel sensitivity model and least-square algorithms, which leads to the images indicating the micro-cracks positions. This work provides an efficiently non-destructive approach to detect internal defects and damages of large-size concrete structures.
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Hanyu Zhan, Hanyu Zhan, Hanwan Jiang, Hanwan Jiang, Ruinian Jiang, Ruinian Jiang, } "Medium change based image estimation from application of inverse algorithms to coda wave measurements", Proc. SPIE 10599, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII, 1059908 (27 March 2018); doi: 10.1117/12.2295764; https://doi.org/10.1117/12.2295764
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