Compressive Strength Evaluation of Underwater Concrete Structures Integrating the Combination of Rebound Hardness and Ultrasonic Pulse Velocity Methods with Artificial Neural Networks
In this study, two kinds of nondestructive evaluation
(NDE) techniques (rebound hardness and ultrasonic pulse velocity
methods) are investigated for the effective maintenance of underwater
concrete structures. A new methodology to estimate the underwater
concrete strengths more effectively, named “artificial neural network
(ANN) – based concrete strength estimation with the combination of
rebound hardness and ultrasonic pulse velocity methods” is proposed
and verified throughout a series of experimental works.
[1] J. H. Yi, S. H. Han and W. S. Park."Nondestructive Testing for Concrete
Harbor Facilities,” Journal of the Korea Institute for Structural
Maintenance Inspection, Korea, (2011).
[2] A P Smith, "Underwater nondestructive testing of concrete: an evaluation
of technique,” Port Hueneme, Calif.: Naval Civil Engineering
Laboratory, (1986).
[3] S. J. Park and J. K. Kang, "A Study on the Evaluation of Concrete
Strength at Early Age for Field Application Using Ultrasonic Velocity
and Rebound Test Method,” Architectural Institute of Korea, (2008).
[4] F Aydin, M Saribiyik, "Correlation between Schmidt Hammer and
destructive compressions testing for concretes in existing buildings,”
Scientific Research and Essays, 2010M.A. Green: High Efficiency
Silicon Solar Cells (Trans Tech Publications, Switzerland 1987).
[5] IS: 13311 (Part 1): Non-destructive Testing of Concrete – Methods of
Test , Part 1 Ultrasonic Pulse Velocity, BIS, New Delhi, (1992).
[6] Information on The UK’s expert provider of custom essays Home
Page,http://www.ukessays.com/essays/information-technology/historical
-background-of-neural-networks-information-technology-essay.php.
[7] J. E.Yoo, S. C. Park, M. S. Kim and Y. W. Kwon, "A New Strength
Equation of Concrete by Ultrasonic Pulse Velocity Test,” Conference of
Korea Concrete Institute,(2004).
[1] J. H. Yi, S. H. Han and W. S. Park."Nondestructive Testing for Concrete
Harbor Facilities,” Journal of the Korea Institute for Structural
Maintenance Inspection, Korea, (2011).
[2] A P Smith, "Underwater nondestructive testing of concrete: an evaluation
of technique,” Port Hueneme, Calif.: Naval Civil Engineering
Laboratory, (1986).
[3] S. J. Park and J. K. Kang, "A Study on the Evaluation of Concrete
Strength at Early Age for Field Application Using Ultrasonic Velocity
and Rebound Test Method,” Architectural Institute of Korea, (2008).
[4] F Aydin, M Saribiyik, "Correlation between Schmidt Hammer and
destructive compressions testing for concretes in existing buildings,”
Scientific Research and Essays, 2010M.A. Green: High Efficiency
Silicon Solar Cells (Trans Tech Publications, Switzerland 1987).
[5] IS: 13311 (Part 1): Non-destructive Testing of Concrete – Methods of
Test , Part 1 Ultrasonic Pulse Velocity, BIS, New Delhi, (1992).
[6] Information on The UK’s expert provider of custom essays Home
Page,http://www.ukessays.com/essays/information-technology/historical
-background-of-neural-networks-information-technology-essay.php.
[7] J. E.Yoo, S. C. Park, M. S. Kim and Y. W. Kwon, "A New Strength
Equation of Concrete by Ultrasonic Pulse Velocity Test,” Conference of
Korea Concrete Institute,(2004).
@article{"International Journal of Architectural, Civil and Construction Sciences:66065", author = "Seunghee Park and Junkyeong Kim and Eun-Seok Shin and Sang-Hun Han", title = "Compressive Strength Evaluation of Underwater Concrete Structures Integrating the Combination of Rebound Hardness and Ultrasonic Pulse Velocity Methods with Artificial Neural Networks", abstract = "In this study, two kinds of nondestructive evaluation
(NDE) techniques (rebound hardness and ultrasonic pulse velocity
methods) are investigated for the effective maintenance of underwater
concrete structures. A new methodology to estimate the underwater
concrete strengths more effectively, named “artificial neural network
(ANN) – based concrete strength estimation with the combination of
rebound hardness and ultrasonic pulse velocity methods” is proposed
and verified throughout a series of experimental works.
", keywords = "Underwater Concrete, Rebound Hardness, Schmidt
hammer, Ultrasonic Pulse Velocity, Ultrasonic Sensor, Artificial
Neural Networks, ANN.", volume = "8", number = "1", pages = "17-5", }