Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete
Joint Authors
Khan, Kaffayatullah
Amin, Muhammad Nasir
Aslam, Fahid
Farooq, Furqan
Waheed, Abdul
Akbar, Arslan
Javed, Muhammad Faisal
Alyousef, Rayed
Alabdulijabbar, Hisham
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-26
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
The experimental design of high-strength concrete (HSC) requires deep analysis to get the target strength.
In this study, machine learning approaches and artificial intelligence python-based approaches have been utilized to predict the mechanical behaviour of HSC.
The data to be used in the modelling consist of several input parameters such as cement, water, fine aggregate, and coarse aggregate in combination with a superplasticizer.
Empirical relation with mathematical expression has been proposed using engineering programming.
The efficiency of the models is assessed by statistical analysis with the error by using MAE, RRMSE, RSE, and comparisons were made between regression models.
Moreover, variable intensity and correlation have shown that deep learning can be used to know the exact amount of materials in civil engineering rather than doing experimental work.
The expression tree, as well as normalization of the graph, depicts significant accuracy between target and output values.
The results reveal that machine learning proposed adamant accuracy and has elucidated performance in the prediction aspect.
American Psychological Association (APA)
Aslam, Fahid& Farooq, Furqan& Amin, Muhammad Nasir& Khan, Kaffayatullah& Waheed, Abdul& Akbar, Arslan…[et al.]. 2020. Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1123975
Modern Language Association (MLA)
Aslam, Fahid…[et al.]. Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete. Advances in Civil Engineering No. 2020 (2020), pp.1-23.
https://search.emarefa.net/detail/BIM-1123975
American Medical Association (AMA)
Aslam, Fahid& Farooq, Furqan& Amin, Muhammad Nasir& Khan, Kaffayatullah& Waheed, Abdul& Akbar, Arslan…[et al.]. Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1123975
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123975