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Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model
Joint Authors
Ll, Guichen
Sun, Yuantian
Zhang, Junfei
Qian, Deyu
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Rubberized concrete (RC) has attracted more attention these years as it is an economical and environmental-friendly construction material.
Normally, the uniaxial compressive strength (UCS) of RC needs to be evaluated before application.
In this study, an evolutionary random forest model (BRF) combining random forest (RF) and beetle antennae search (BAS) algorithms was proposed, which can be used for establishing the relationship between UCS of RC and its key variables.
A total number of 138 cases were collected from the literature to develop and validate the BRF model.
The results showed that the BAS can tune the RF effectively, and therefore, the hyperparameters of RF were obtained.
The proposed BRF model can accurately predict the UCS of RC with a high correlation coefficient (0.96).
Furthermore, the variable importance was determined, and the results showed that the age of RC is the most significant variable, followed by water-cement ratio, fine rubber aggregate, coarse rubber aggregate, and coarse aggregate.
This study provides a new method to access the strength of RC and can efficiently guide the design of RC in practice.
American Psychological Association (APA)
Sun, Yuantian& Ll, Guichen& Zhang, Junfei& Qian, Deyu. 2019. Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1116449
Modern Language Association (MLA)
Sun, Yuantian…[et al.]. Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model. Advances in Civil Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1116449
American Medical Association (AMA)
Sun, Yuantian& Ll, Guichen& Zhang, Junfei& Qian, Deyu. Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1116449
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116449