刘锐鸿, 宋晶, 赵洲, 成谷. 2019: 淤泥微观结构指标的量化分析与探讨. 工程地质学报, 27(s1): 466-473. DOI: 10.13544/j.cnki.jeg.2019094
    引用本文: 刘锐鸿, 宋晶, 赵洲, 成谷. 2019: 淤泥微观结构指标的量化分析与探讨. 工程地质学报, 27(s1): 466-473. DOI: 10.13544/j.cnki.jeg.2019094
    LIU Ruihong, SONG Jing, ZHAO Zhou, CHENG Gu. 2019: QUANTITATIVE ANALYSIS AND DISCUSSION ON THE MICROSTRUCTURE INDEX OF SILT. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 466-473. DOI: 10.13544/j.cnki.jeg.2019094
    Citation: LIU Ruihong, SONG Jing, ZHAO Zhou, CHENG Gu. 2019: QUANTITATIVE ANALYSIS AND DISCUSSION ON THE MICROSTRUCTURE INDEX OF SILT. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 466-473. DOI: 10.13544/j.cnki.jeg.2019094

    淤泥微观结构指标的量化分析与探讨

    QUANTITATIVE ANALYSIS AND DISCUSSION ON THE MICROSTRUCTURE INDEX OF SILT

    • 摘要: 淤泥有机含量高,压缩性强,力学强度低,极易引发建(构)筑物的不均匀沉降或沉陷等工程地质灾害。其中,空架状结构是华南淤泥微观结构的显著特征,物质和孔隙的不均匀分布导致代表性微观结构剖面不易提取,制约了土体微宏观性质的深入研究。本文利用同步辐射显微CT技术对大亚湾淤泥进行微观结构分析,获取了无损样品的连续结构,避免单一结构剖面提取的盲目性。为了避免时间空间影响、无损样品的结构数据的三维空间离散性,研究基于波谱数据分析、样本数离散程度等定量指标,量化并探讨孔隙比、形状系数等基础结构数据。淤泥在主固结过程中,三维空间的孔隙比、形状系数等样本数据的离散程度先增大后减小;在次固结阶段,样本数据的离散程度再次呈现增大的趋势。由此定量分析离散程度,既量化了固结过程中微观结构的不均匀程度,又反映淤泥在固结作用中的变化规律。研究表明,在逐渐增加的固结压力下,淤泥呈现均质-非均质,继而又均质化的结构演化特征。

       

      Abstract: The silt has high organic content, strong compressibility and low mechanical strength, which can easily lead to engineering geological disasters such as uneven settlement or subsidence of the building(structure). Among the silt, the empty frame structure is a prominent feature of the microstructure of the Southern China silt. The uneven distribution of matter and pores leads to the difficulty of extracting the representative microstructure profile, which restricts the in-depth study of the microscopic macroscopic properties of the soil. We analyzed the microstructure of Daya Bay silt by synchrotron radiation micro-CT technology, and construct the continuous structure of the non-destructive sample, which avoids the blindness of single structure section extraction. In order to avoid the influence of time and space and the three-dimensional spatial dispersion of the structural data of the sample, we studied quantitative data such as spectral data analysis and sample number dispersion degree in depth. Then we quantified and discussed the basic structure data such as void ratio and shape coefficient. In the main consolidation process, the dispersion ratio of the sample data such as the void ratio and shape coefficient in the three-dimensional space increases first and then decreases. In the secondary consolidation stage, the dispersion degree of the sample data again shows an increasing trend. The quantitative analysis of the degree of dispersion not only quantifies the degree of non-uniformity of the microstructure during the consolidation process, but also reflects the variation of the sludge in the consolidation. Studies have shown that under increasing consolidation pressure, the sludge exhibits homogeneous-heterogeneous and then homogenized structural evolution characteristics.

       

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