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Paper Information

Journal:   JOURNAL OF ENGINEERING GEOLOGY   FALL 2015 , Volume 9 , Number 3; Page(s) 2983 To 3002.
 
Paper: 

PREDICTIONS STRENGTH OF CONCRETE CONTAINING DIFFERENT AGGREGATE USING NON-DESTRUCTIVE TESTING THROUGH ARTIFICIAL NEURAL NETWORKS

 
 
Author(s):  HARIFI JAVAD, NIKOUDEL MOHAMMAD REZA
 
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Abstract: 

In this research, predictions Strength of Concrete containing different aggregate using Non-destructive (Ultrasonic) testing through Artificial Neural Networks were carrying out. For this purpose, aggregate materials gathered with the different properties from the quarries and then their destructive and nondestructive properties obtained in laboratory. The important point of this research, using different aggregate with physical, mechanical and chemical properties, and using two different methods, such as Non-destructive static and dynamic testing, Uniaxial Compressive Strength and Compressive wave velocity, respectively. Thus, model includes various types of samples, also estimate and predict model includes static and dynamic tests. The results showed that the use of artificial neural networks will not only increase the accuracy, but also reduces costs and time. In this research, predictions Strength of Concrete containing different aggregate using Non-destructive (Ultrasonic) testing through Artificial Neural Networks were carrying out. For this purpose, aggregate materials gathered with the different properties from the quarries and then their destructive and nondestructive properties obtained in laboratory. The important point of this research, using different aggregate with physical, mechanical and chemical properties, and using two different methods, such as Non-destructive static and dynamic testing, Uniaxial Compressive Strength and Compressive wave velocity, respectively. Thus, model includes various types of samples, also estimate and predict model includes static and dynamic tests.

 
Keyword(s): CONCRETE, AGGREGATE, COMPRESSIVE WAVE VELOCITY, ARTIFICIAL NEURAL NETWORK
 
 
References: 
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Click to Cite.
APA: Copy

HARIFI, J., & NIKOUDEL, M. (2015). PREDICTIONS STRENGTH OF CONCRETE CONTAINING DIFFERENT AGGREGATE USING NON-DESTRUCTIVE TESTING THROUGH ARTIFICIAL NEURAL NETWORKS. JOURNAL OF ENGINEERING GEOLOGY, 9(3), 2983-3002. https://www.sid.ir/en/journal/ViewPaper.aspx?id=507883



Vancouver: Copy

HARIFI JAVAD, NIKOUDEL MOHAMMAD REZA. PREDICTIONS STRENGTH OF CONCRETE CONTAINING DIFFERENT AGGREGATE USING NON-DESTRUCTIVE TESTING THROUGH ARTIFICIAL NEURAL NETWORKS. JOURNAL OF ENGINEERING GEOLOGY. 2015 [cited 2021May07];9(3):2983-3002. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=507883



IEEE: Copy

HARIFI, J., NIKOUDEL, M., 2015. PREDICTIONS STRENGTH OF CONCRETE CONTAINING DIFFERENT AGGREGATE USING NON-DESTRUCTIVE TESTING THROUGH ARTIFICIAL NEURAL NETWORKS. JOURNAL OF ENGINEERING GEOLOGY, [online] 9(3), pp.2983-3002. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=507883.



 
 
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