@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}, }