Artificial neural network approach to predict compressive strength of concrete through ultrasonic pulse velocity

Research in Nondestructive Evaluation

Volumn 21, Issue 1, 2010, Pages 1-17

  Bilgehan, M ^a   Turgut, P ^a  

^a HARRAN UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Compressive strength; Concrete; Non destructive testing; Ultrasonic pulse velocity

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK APPROACH; ARTIFICIAL NEURAL NETWORKS; COMPRESSIVE STRENGTH OF CONCRETE; CONCRETE COMPRESSIVE STRENGTH; CONCRETE MIXTURE; CONCRETE STRENGTH; EXISTING REINFORCED CONCRETE; MANY CORE; NON DESTRUCTIVE TESTING; NONDESTRUCTIVE TESTING METHOD; REINFORCED CONCRETE STRUCTURES; ULTRASONIC PULSE VELOCITY;

BUILDING MATERIALS; CONCRETE BUILDINGS; CONCRETE MIXERS; CONCRETE TESTING; LIGHT VELOCITY; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; REINFORCED CONCRETE; ULTRASONICS;

COMPRESSIVE STRENGTH;

EID: 76349090457     PISSN: 09349847     EISSN: 14322110     Source Type: Journal    
DOI: 10.1080/09349840903122042     Document Type: Article

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