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

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HARIFI JAVAD; NIKOUDEL MOHAMMAD REZA

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Journal: JOURNAL OF ENGINEERING GEOLOGY Year:2015 | Volume:9 | Issue:3 Page(s): 2983-3002

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Title

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

Author(s)

HARIFI JAVAD | NIKOUDEL MOHAMMAD REZA | Issue Writer Certificate

Keywords

CONCRETEQ2

AGGREGATEQ1

COMPRESSIVE WAVE VELOCITYQ2

ARTIFICIAL NEURAL NETWORKQ2

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.

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APA: Copy

HARIFI, JAVAD, & NIKOUDEL, MOHAMMAD REZA. (2015). PREDICTIONS STRENGTH OF CONCRETE CONTAINING DIFFERENT AGGREGATE USING NON-DESTRUCTIVE TESTING THROUGH ARTIFICIAL NEURAL NETWORKS. JOURNAL OF ENGINEERING GEOLOGY, 9(3), 2983-3002. SID. https://sid.ir/paper/186397/en

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[Internet]. 2015;9(3):2983-3002. Available from: https://sid.ir/paper/186397/en

IEEE: Copy

JAVAD HARIFI, and MOHAMMAD REZA NIKOUDEL, “PREDICTIONS STRENGTH OF CONCRETE CONTAINING DIFFERENT AGGREGATE USING NON-DESTRUCTIVE TESTING THROUGH ARTIFICIAL NEURAL NETWORKS,” JOURNAL OF ENGINEERING GEOLOGY, vol. 9, no. 3, pp. 2983–3002, 2015, [Online]. Available: https://sid.ir/paper/186397/en

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