Literature DB >> 30755325

Use of network theory to improve the ultrasonic tomography in concrete.

Lourenço Panosso Perlin1, Roberto Caldas de Andrade Pinto2.   

Abstract

The ultrasonic tomography is an important tool in nondestructive evaluation of concrete structures. It is usual to consider in ultrasonic reconstruction that the mechanical waves only propagate in straight-lines between the transmitter and the receiver transducers, corresponding to the behavior in a homogenous material. In a concrete specimen, however, mechanical waves may deviate from an internal flaw, which affects the resulting tomograms. In this study, the ray tracing technique based on the Network Theory, which allows to consider waves not travelling in a straight-line, was incorporated into the tomography processing. Experimental tests were carried out on concrete specimens with different internal flaws. The results indicated the importance of using the ray tracing technique to properly detect the size and the shape of internal flaws, improving the obtained tomograms. All the necessary algorithms for the application of the Network Theory were presented.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Concrete; Network theory; Ray tracing; Tomography; Ultrasonic

Year:  2019        PMID: 30755325     DOI: 10.1016/j.ultras.2019.01.007

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  2 in total

1.  Evaluation of Corrosion Damage in Sulfate-Attacked Concrete by CT, Ultrasonic Pulse Velocity Testing and AHP Methods.

Authors:  Dunwen Liu; Chun Gong; Yu Tang; Yinghua Jian; Kunpeng Cao; Haofei Chen
Journal:  Sensors (Basel)       Date:  2022-04-15       Impact factor: 3.847

2.  The Use of Dijkstra's Algorithm in Assessing the Correctness of Imaging Brittle Damage in Concrete Beams by Means of Ultrasonic Transmission Tomography.

Authors:  Zbigniew Perkowski; Karolina Tatara
Journal:  Materials (Basel)       Date:  2020-01-23       Impact factor: 3.623

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.