Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction

• Main Authors: Jianghu Lu, Zhexuan Yu, Yuanzhe Zhu, Shaowen Huang, Qi Luo, Siyu Zhang
• Format: Article
• Language: English
• Published: MDPI AG 2019-05-01
• Series: Materials
• Subjects: least-squares support vector machine; lithium-slag; cement; compressive strength; anti-chloride ion permeability; fluidity
• Online Access: https://www.mdpi.com/1996-1944/12/10/1652

There is a universally accepted view that environmental pollution should be controlled while improving cement mortar natural abilities. The purpose of this study is to develop a green cement mortar that has better compressive strength and anti-chloride ion permeability. Two industrial wastes, lithium-slag and slag, were added to cement mortar, and the role of lithium-slag was to activate slag. In addition, to save economic and time costs, this paper also used the least-squares support vector machine (LS-SVM) method to predict the property changes of cementitious-based materials. Then multiple natural abilities of samples, including compressive strength, anti-chloride ion permeability, and fluidity, were tested. In addition, LS-SVM and traditional support vector machine (SVM) were used to train and forecast the performance, including compressive strength. The results show that lithium-slag can activate slag to improve the compressive strength, anti-chloride ion permeability of mortar, and LS-SVM sharpens accuracy by 11% compared to SVM.