Share Email Print
cover

Proceedings Paper

Spectral energy transmission method for crack depth estimation under various mix proportions of concrete
Author(s): Jiyoung Min; Jae Hong Kim; Sung Woo Shin; Chung-Bang Yun
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The amount and magnitude of absorption and scattering of stress waves in concrete, mainly due to internal friction and aggregate inclusions, may be different when the concrete mix proportion varies. In this study, the surface wave spectral energy transmission method is proposed for the estimation of crack depth in concrete structures, in which the effect of the concrete mix proportion on measurements of self-compensated surface wave transmission functions (TRFs) and surface wave spectral energy transmission ratios (SETRs) is investigated and a relationship between the crack depth and the SETR has been determined from experimental data on various concrete specimens with different mix proportions and different crack depths using a regression analysis. In the results, it is found that the self-compensated surface wave TRFs are very sensitive to both concrete mix proportions and crack depths. However, SETR is not much affected by the concrete mix proportion but very sensitive to the crack depth. Therefore, the spectral energy transmission method can be effectively used for crack depth estimation in concrete structures regardless of their material mix proportions.

Paper Details

Date Published: 8 April 2008
PDF: 10 pages
Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 69321V (8 April 2008); doi: 10.1117/12.776115
Show Author Affiliations
Jiyoung Min, Korea Advanced Institute of Science and Technology (South Korea)
Jae Hong Kim, Korea Advanced Institute of Science and Technology (South Korea)
Sung Woo Shin, Univ. of Illinois at Urbana-Champaign (United States)
Chung-Bang Yun, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 6932:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008
Masayoshi Tomizuka, Editor(s)

© SPIE. Terms of Use
Back to Top