NEURAL NETWORK APPROACH IN ASSESSMENT OF FIBER CONCRETE IMPACT STRENGTH

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ANSARI YASIN; HASHEMI SEYED AMIR HOSSEIN

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Journal Paper

Paper Information

Journal: JOURNAL OF CIVIL ENGINEERING AND MATERIALS APPLICATION Year:2017 | Volume:1 | Issue:3 Page(s): 88-97

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Title

NEURAL NETWORK APPROACH IN ASSESSMENT OF FIBER CONCRETE IMPACT STRENGTH

Author(s)

ANSARI YASIN | HASHEMI SEYED AMIR HOSSEIN | Issue Writer Certificate

Keywords

NEURAL NETWORK

IMPACT STRENGTH

COMPRESSIVE

FLEXURAL STRENGTH

Abstract

Use of NEURAL NETWORK approaches in order to estimate mechanical and characteristics of concrete are common, in this regard, after making concrete samples in a laboratory the results of the laboratory are estimated by NEURAL NETWORK. A drop impact test is used in order to evaluate IMPACT STRENGTH of concrete samples; data obtained from the test usually has high dispersion. Various researches have been conducted to evaluate IMPACT STRENGTH of concrete samples but no effort has made yet to predict IMPACT STRENGTH of concrete by COMPRESSIVE, FLEXURAL STRENGTH. In the research, using NEURAL NETWORK approach of ANN the IMPACT STRENGTH of concrete is predicted from mixture design, COMPRESSIVE and FLEXURAL STRENGTH. In this regard, a numerical relation and range between COMPRESSIVE, flexural and IMPACT STRENGTH have been predicted by collecting laboratory data from previous researches. Results for using NEURAL NETWORK to estimate the COMPRESSIVE and FLEXURAL STRENGTH of concrete has shown that using this tool for estimating COMPRESSIVE and FLEXURAL STRENGTH of concrete is appropriate because the correlation coefficient between the estimated data and the laboratory data is near to 1.

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APA: Copy

ANSARI, YASIN, & HASHEMI, SEYED AMIR HOSSEIN. (2017). NEURAL NETWORK APPROACH IN ASSESSMENT OF FIBER CONCRETE IMPACT STRENGTH. JOURNAL OF CIVIL ENGINEERING AND MATERIALS APPLICATION, 1(3), 88-97. SID. https://sid.ir/paper/351234/en

Vancouver: Copy

ANSARI YASIN, HASHEMI SEYED AMIR HOSSEIN. NEURAL NETWORK APPROACH IN ASSESSMENT OF FIBER CONCRETE IMPACT STRENGTH. JOURNAL OF CIVIL ENGINEERING AND MATERIALS APPLICATION[Internet]. 2017;1(3):88-97. Available from: https://sid.ir/paper/351234/en

IEEE: Copy

YASIN ANSARI, and SEYED AMIR HOSSEIN HASHEMI, “NEURAL NETWORK APPROACH IN ASSESSMENT OF FIBER CONCRETE IMPACT STRENGTH,” JOURNAL OF CIVIL ENGINEERING AND MATERIALS APPLICATION, vol. 1, no. 3, pp. 88–97, 2017, [Online]. Available: https://sid.ir/paper/351234/en

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