Crack detection methods for concrete and steel using radio frequency identification and electrically conductive materials and its applications

Koichi Morita; Kazuya Noguchi

doi:10.1117/12.775967

8 April 2008 Crack detection methods for concrete and steel using radio frequency identification and electrically conductive materials and its applications

Koichi Morita, Kazuya Noguchi

Author Affiliations +

Proceedings Volume 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008; 69320Q (2008) https://doi.org/10.1117/12.775967
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

Abstract

Radio Frequency IDentification (RFID) tag is a promising device for the management of products at a very low cost. Huge number of such low-cost sensors can be installed to the structure beforehand, after a disaster we can access to these sensors wirelessly and very easily. In this system, an electrically conductive paint or printed sheet is applied to a part of structure in which crack will occur. Copper wire is connected to the attachment on the structure and a RFID tag. When a crack occurs, the paint or printed sheet is broken, resulting in an increase in resistance. Crack width can be estimated by the ability of an RFID transmitter to communicate with the tag. By bending tests of concrete specimens, the relationships between concrete crack width and conductivity of the materials are examined. It is shown that the level of concrete crack width can be related to the ability of the paint or printed sheet to conduct electricity or not. This printed sheet is also applied for steel crack. By fatigue test of steel specimen with a notch, very small steel crack can be detected by this sensor.

Citation Download Citation

Koichi Morita and Kazuya Noguchi "Crack detection methods for concrete and steel using radio frequency identification and electrically conductive materials and its applications", Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 69320Q (8 April 2008); https://doi.org/10.1117/12.775967

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