Compressibility, permeability and microstructure of fine-grained soils containing diatom microfossils

硅藻 土壤水分 微观结构 压缩性 破损 磁导率 孔隙比 材料科学 岩土工程 地质学 抗压强度 矿物学 复合材料 化学 土壤科学 生物化学 海洋学 航空航天工程 工程类
作者
Xianwei Zhang,Xinyu Liu,Yiqing Xu,Gang Wang,Yubin Ren
出处
期刊:Geotechnique [Thomas Telford Ltd.]
卷期号:: 1-15 被引量:8
标识
DOI:10.1680/jgeot.22.00155
摘要

Fine-grained soils containing diatom microfossils of biological origin are found worldwide. However, although these soils are acknowledged to have unique physical and mechanical properties, the exact role of diatoms in determining their compression and hydraulic behaviours remains unclear, especially when high effective stress is involved, and the underlying micromechanism is yet to be revealed. This study investigated the compression and permeability of diatomaceous soils prepared by mixing pure diatom and kaolin powders through one-dimensional constant rate of strain compression tests with a maximum vertical stress of 10 MPa. The microstructure of the soils studied was observed by atomic force microscopy, scanning electron microscopy and mercury intrusion porosimetry, and the microstructural evolution during compression was traced. The results indicate that the special hollow structure of diatom particles with internal pores contributes significantly to the high void ratio, compressibility and permeability of diatomaceous soils, and increasing the diatom content improves the pore distribution non-uniformity of the diatom–kaolin mixtures. In addition, the diatom particles have high brittleness and breakage potential, leading to microstructural rearrangement during compression, especially pore-structure adjustment. Lower compressive stress deforms the inter- and intra-aggregate pores, but higher vertical stress damages the diatoms’ hollow structure, which changes the compression and hydraulic parameters in a different manner from the case of conventional clay. This paper enriches the knowledge concerning the multilevel behaviour of fine-grained soils containing diatom microfossils and provides a fundamental dataset.
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