Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks

Ultrasonics

Volumn 49, Issue 1, 2009, Pages 53-60

  Trtnik, Gregor ^a,b   Kavčič, Franci ^b   Turk, Goran ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b Building Materials Institute   (Slovenia)

Author keywords

Artificial neural network; Compressive strength; Mix parameters; Ultrasonic pulse velocity; Young concrete

Indexed keywords

AGGLOMERATION; BACKPROPAGATION; COMPRESSIVE STRENGTH; CONCRETE CONSTRUCTION; CONCRETES; ELASTIC MODULI; FEEDFORWARD NEURAL NETWORKS; IMAGE CLASSIFICATION; LIGHT VELOCITY; MATLAB; STRENGTH OF MATERIALS; ULTRASONIC APPLICATIONS; ULTRASONIC TESTING; ULTRASONICS; VEGETATION; VELOCITY;

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COMPRESSIVE STRENGTH OF CONCRETES; CONCRETE COMPRESSIVE STRENGTHS; CONCRETE PROPERTIES; CONCRETE STRENGTHS; CONCRETE TEMPERATURES; DESTRUCTIVE TECHNIQUES; ENVIRONMENTAL TEMPERATURES; MATLAB PROGRAMMINGS; NUMERICAL MODELS; SHEAR MODULUS; STATIC AND DYNAMICS; ULTRASONIC PULSE VELOCITIES; ULTRASONIC PULSE VELOCITY; W/C RATIOS; YOUNG CONCRETE;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BUILDING MATERIAL; CHEMICAL MODEL; COMPRESSIVE STRENGTH; COMPUTER SIMULATION; MATERIALS TESTING; ULTRASOUND;

ALGORITHMS; COMPRESSIVE STRENGTH; COMPUTER SIMULATION; CONSTRUCTION MATERIALS; MATERIALS TESTING; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); ULTRASONICS;

EID: 57049177642     PISSN: 0041624X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultras.2008.05.001     Document Type: Article

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