Study on Expansion Rate of Steel Slag Cement-Stabilized Macadam Based on BP Neural Network

• Published in: Materials Vol. 17; no. 14; p. 3558
• Main Authors: Wu, Hengyu, Xu, Feng, Li, Bingyang, Gao, Qiju
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.07.2024
• Subjects: Aggregates; Aluminum; Back propagation networks; Calcium oxide; Cement; cement-stabilized macadam; Dosage; expansion rate; Experiments; Gravel; Hydration; Magnesium oxide; neural network; Neural networks; Physical properties; Pore size; Prediction models; Predictions; Proportioning (mixing); road base; Slag; Slag cements; Slaked lime; steel slag; Stone; Superconductors (materials); Temperature; Water immersion; cement-stabilized macadam; steel slag; road base; expansion rate; neural network
• ISSN: 1996-1944; 1996-1944
• DOI: 10.3390/ma17143558

The physicochemical properties of steel slag were investigated using SEM and IR, and it was found that free calcium oxide and free magnesium oxide in steel slag produce calcium hydroxide when in contact with water, leading to volume expansion. Thus, the expansion rate of steel slag itself was first investigated, and it was found that the volume expansion of steel slag was more obvious in seven days after water immersion. Then, the cement dosages of 5% and 6% of the steel slag expansion rate and cement-stabilized gravel volume changes between the intrinsic link were further explored after the study found that the cement bonding effect can be partially inhibited due to the volume of expansion caused by the steel slag, so it can be seen that increasing the dosage of cement can reduce the volume expansion of steel slag cement-stabilized gravel with the same dosage of steel slag. Finally, a prediction model of the expansion rate of steel slag cement-stabilized gravel based on the BP (back propagation) neural network was established, which was verified to be a reliable basis for predicting the expansion rate of steel slag cement-stabilized aggregates and improving the accuracy of the proportioning design.