1. Extracting non-propagating oscillatory fields in concrete to detect distributed cracking
- Author
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John S. Popovics and Homin Song
- Subjects
Work (thermodynamics) ,Acoustics and Ultrasonics ,Basis (linear algebra) ,Computer simulation ,Scattering ,Random media ,02 engineering and technology ,Mechanics ,021001 nanoscience & nanotechnology ,Domain (mathematical analysis) ,Cracking ,Arts and Humanities (miscellaneous) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,0210 nano-technology ,Energy (signal processing) ,Geology - Abstract
Work to detect and locate distributed subsurface cracks in concrete by extracting non-propagating oscillatory fields is presented. The medium of interest is concrete, but the approach also applies to other types of inhomogeneous media. The theoretical basis of the work is first presented through a one-dimensional point-scatterer model that considers the wavefield set up by multiple distinct scatterers. More complex scattering scenarios are then investigated using numerical simulation. The numerical models consider two types of scatterers: elliptic large-scale particles distributed throughout a medium, and small-sized cracks localized within a damage zone. The theoretical and numerical analyses show that forward propagating waves undergo distinct scattering behavior within the crack damaged zone: non-propagating resonance-like oscillatory fields are set up within the cracked zone, and are distinct from the scatter caused by the large-scale particles. Frequency-wavenumber (f-k) domain analyses to extract the energy of non-propagating oscillatory fields and thus to detect and locate zones of distributed cracking are employed. The proposed approach is evaluated using numerical simulation and experimental data collected from concrete specimens that contain simulated distributed cracks. The results demonstrate that the location of distributed crack zones in discrete random media, such as concrete, can be successfully detected.
- Published
- 2019
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