Mechanical Properties and Neural Network Prediction of Cement Fly Ash-Enhanced Roadbed Soil in Seasonal Frozen Zones Under Short-Term Curing.

Autor: Cui, Gaohang, Cheng, Zhuo, Sun, Fanyue, Ma, Shuxian, Liu, Zhiqiang
Zdroj: KSCE Journal of Civil Engineering; Jan2024, Vol. 28 Issue 1, p106-123, 18p
Abstrakt: The freezing and thawing of roadbed soils in seasonal frozen zones can cause uneven settlement and other road problems, which puts road operation at risk. This paper focuses on the rapid construction of expressways and analyzes the effects of using fly ash and cement as modifiers on the physical properties and chemical composition of subgrade soil. The study found that cement admixtures can improve soil mechanical attributes and frost resistance, while also increasing the degree of fly ash hydration. And the freeze-thaw cycle process can enhance the mechanical characteristics of soils with higher cement admixture content. This is due to the development of hydrates in cement fly ash-enhanced soils during freeze?thaw cycles, resulting in a denser interior structure. The use of neural network prediction analysis showed that using ANN4-10-3 to forecast soil mechanical property parameters can produce superior results. Therefore, it is recommended to use cement fly ash-enhanced soil for roadbed construction in seasonal freezing areas, and neural network can be used to predict soil mechanical parameters. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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