@article{(Open Science Index):https://publications.waset.org/pdf/9997020,
	  title     = {Compressive Strength Evaluation of Underwater  Concrete Structures Integrating the Combination of  Rebound Hardness and Ultrasonic Pulse Velocity  Methods with Artificial Neural Networks},
	  author    = {Seunghee Park and  Junkyeong Kim and  Eun-Seok Shin and  Sang-Hun Han},
	  country	= {},
	  institution	= {},
	  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.

	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {8},
	  number    = {1},
	  year      = {2014},
	  pages     = {17 - 21},
	  ee        = {https://publications.waset.org/pdf/9997020},
	  url   	= {https://publications.waset.org/vol/85},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 85, 2014},