Nondestructive Concrete Strength Estimation based on Electro-Mechanical Impedance with Artificial Neural Network

Author:

Oh Tae-Keun1,Kim Junkyeong2,Lee Changgil3,Park Seunghee3

Affiliation:

1. Department of Safety Engineering, Incheon National University, Incheon, Republic of Korea.

2. Department of Civil & Environmental System Engineering, Sungkyunkwan University, Suwon, Republic of Korea.

3. School of Civil & Architectural Engineering, Sungkyunkwan University, Suwon, Republic of Korea.

Publisher

Japan Concrete Institute

Subject

General Materials Science,Building and Construction

Reference34 articles.

1. 1) ACI Committee 228, (2003). “In-place methods to estimate concrete strength report.” American Concrete Institute, ACI 228. 1R-03, U.S.: American concrete Institute.

2. 2) ACI Committee 209, (2008). “Creep shrinkage temperature in cconcrete structures.” ACI 209. 2R-08, U.S.: American concrete Institute.

3. 3) Bhalla, S. and Soh, C. K., (2004). “Structural health monitoring by piezo-impedance transducers, I: modeling.” Journal of Aerospace Engineering, 17, 154-165.

4. 4) Carino, N. J., (1983). “Temperature effects on the strength-maturity relation of mortar.” Journal of the American Concrete Institute, 80(3), 177-182.

5. 5) Gu, H., Song, G., Dhonde, H., Mo, Y. L. and Yan, S., (2006). “Concrete early-age strength monitoring using embedded piezoelectric transducers.” Smart Materials and Structures, 15(6), 1837-1845.

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