Studies on Frequency Selective Iterative Deconvolution Algorithms Applied to Concrete Imaging and Characterization

Rodríguez Martínez Alberto, Salazar Afanador Addisson, Vergara Domínguez Luís

2014

Studies on Frequency Selective Iterative Deconvolution Algorithms Applied to Concrete Imaging and Characterization

The aim of this work is the design of an automatic method for Steel Fiber Reinforce Concrete imaging and characterization. We present a new procedure that combines iterative deconvolution with time-to-frequency analysis to obtain simultaneously the thickness and speed of sound of the specimen. It can also detect the steel wires inside the structure, which could be used for imaging and to analyze the alignment of the fibers.