Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence
Joint Authors
Nguyen, Tu T.
Pham Duy, Hoa
Pham Thanh, Tung
Vu, Hoang Hiep
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper describes the application of two artificial intelligence- (AI-) based methods to predict the 28-day compressive strength of fiber-reinforced high-strength self-compacting concrete (FRHSSCC) from its ingredients.
A series of 131 data samples collected from various published literature sources were used for training, validation, and testing models.
Various AI models were developed with different training algorithms and a number of nodes in the hidden layer to obtain the optimal model for the FRHSSCC data.
It is shown that the performances of the artificial neural network (ANN) were better than that of the adaptive neurofuzzy inference system (ANFIS) model.
Specifically, the overall coefficient of determination (R2) of the ANN and ANFIS models was 0.9742 and 0.9584, respectively.
The sensitivity analysis was also conducted with the ANN model to investigate the effects of input parameters on the output.
The results from the sensitivity analysis revealed that the compressive strength of FRHSSCC at 28 days was more sensitive with the changes of water by cement ratio (WCR) parameter and insensitive with varying amounts of fiber (VOF).
Finally, it can be concluded that the application of artificial intelligence shows the great potential in the prediction of compressive strength of FRHSSCC.
American Psychological Association (APA)
Nguyen, Tu T.& Pham Duy, Hoa& Pham Thanh, Tung& Vu, Hoang Hiep. 2020. Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1121232
Modern Language Association (MLA)
Nguyen, Tu T.…[et al.]. Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence. Advances in Civil Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1121232
American Medical Association (AMA)
Nguyen, Tu T.& Pham Duy, Hoa& Pham Thanh, Tung& Vu, Hoang Hiep. Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1121232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121232