Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks

Automation in Construction

Volumn 15, Issue 3, 2006, Pages 374-379

  Kewalramani, Manish A ^a   Gupta, Rajiv ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

Author keywords

Artificial neural network; Compressive strength; Concrete; Ultrasonic pulse velocity

Indexed keywords

COMPRESSIVE STRENGTH; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; REGRESSION ANALYSIS; ULTRASONIC EFFECTS;

MULTIPLE REGRESSION ANALYSIS; ULTRASONIC PULSE VELOCITY;

CONCRETES;

EID: 33644678621     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2005.07.003     Document Type: Article

References (9)

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2. ASTM C586. Test for pulse velocity through concrete (1981).
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5. M. Kewalramani, and R. Gupta Experimental study of concrete strength through an eco-friendly curing technique Proceedings of National seminar on Advances in Concrete Technology and Concrete Structures for the Future, Annamalainagar, India 2003 409 416
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7. M. Nehdi, H.E. Chabib, and A. Naggar Predicting performance of self-compacting concrete mixtures using artificial neural networks ACI Materials Journal 98 5 2001 394 401
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9. S.K. Sahu, and K.K. Jain Assessment of concrete quality from pulse velocity tests, non-destructive testing Civil Engineering Review 1998 43 45