Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network
Joint Authors
Karthiyaini, S.
Shanmugasundaram, M.
Senthamarai Kannan, K.
Priyadarshini, J.
Gupta, Kamal
Source
Advances in Materials Science and Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-07
Country of Publication
Egypt
No. of Pages
7
Abstract EN
The present study is to compare the multiple regression analysis (MRA) model and artificial neural network (ANN) model designed to predict the mechanical strength of fiber-reinforced concrete on 28 days.
The model uses the data from early literatures; the data consist of tensile strength of fiber, percentage of fiber, water/cement ratio, cross-sectional area of test specimen, Young’s modulus of fiber, and mechanical strength of control specimen, and these were used as the input parameters; the respective strength attained was used as the target parameter.
The models are created and are used to predict compressive, split tensile, and flexural strength of fiber admixed concrete.
These models are evaluated through the statistical test such as coefficient of determination (R2) and root mean squared error (RMSE).
The results show that these parameters produce a valid model through both MRA and ANN, and this model gives more precise prediction for the fiber admixed concrete.
American Psychological Association (APA)
Karthiyaini, S.& Senthamarai Kannan, K.& Priyadarshini, J.& Gupta, Kamal& Shanmugasundaram, M.. 2019. Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network. Advances in Materials Science and Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1120135
Modern Language Association (MLA)
Karthiyaini, S.…[et al.]. Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network. Advances in Materials Science and Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1120135
American Medical Association (AMA)
Karthiyaini, S.& Senthamarai Kannan, K.& Priyadarshini, J.& Gupta, Kamal& Shanmugasundaram, M.. Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network. Advances in Materials Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1120135
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120135