Studies on frequency selective iterative deconvolution algorithms applied to concrete imaging and characterization

A Rodriguez,A Salazar,L Vergara,Linas Svilainis,D Kybartas, Dobilas Liaukonis

Ultrasonics Symposium（2014）

引用 3|浏览8

暂无评分

摘要

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.

查看译文

关键词

acoustic signal processing,acoustic wave velocity measurement,deconvolution,fibres,iterative methods,reinforced concrete,steel,thickness measurement,ultrasonic materials testing,wires,concrete imaging,fiber alignment,frequency selective iterative deconvolution algorithms,sound speed measurement,steel wires,time-to-frequency analysis,iterative deconvolution,concrete characterization,frequency selective,nondestructive testing,interpolation

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要