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.

• Seunghee Park
• Junkyeong Kim
• Eun-Seok Shin
• Sang-Hun Han

• Underwater Concrete
• Rebound Hardness
• Schmidt hammer
• Ultrasonic Pulse Velocity
• Ultrasonic Sensor
• Artificial Neural Networks
• ANN.

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