%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. %P 17 - 21