%0 Journal Article
	%A Seunghee Park and  Junkyeong Kim and  Eun-Seok Shin and  Sang-Hun Han
	%D 2014
	%J International Journal of Civil and Environmental Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 85, 2014
	%T Compressive Strength Evaluation of Underwater  Concrete Structures Integrating the Combination of  Rebound Hardness and Ultrasonic Pulse Velocity  Methods with Artificial Neural Networks
	%U https://publications.waset.org/pdf/9997020
	%V 85
	%X 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.

 

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