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1-G modelling of wet deep mixing with fibres

机译:纤维湿法深层混合的1-G建模

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摘要

The Deep Mixing Method is a well-established in situ admixture stabilization method, but the improved soil has been found to be highly variable. Improvements in the uniformity of the mixing process can thus lead to potential savings. The addition of fibres improves strength and ductility of the treated soil. However, deep mixing with fibre reinforcement is a relatively new field of research and the statistical variability of the improved soil is still unknown at present. Using 1-g modelling with appropriate scaling to minimise scale distortion effects, this study presents details of the Cone Penetration Test, fibre content test, and the Digital Image Processing method to determine strength, fibre and cement distribution respectively within the column. Autocorrelation analysis was carried out on the 1-g test results, which show that mixing uniformity is affected by the blade rotation number and that the fibre tends to disassociate from the cement slurry during mixing.
机译:深层混合法是一种成熟的原位掺合稳定方法,但已发现改良的土壤变化很大。混合过程的均匀性的改善因此可以导致潜在的节省。纤维的添加改善了处理过的土壤的强度和延展性。然而,纤维增强的深层搅拌是一个相对较新的研究领域,改良土壤的统计变异性目前仍未知。使用具有适当缩放比例的1-g建模以最小化缩放比例失真的影响,本研究介绍了锥孔穿透测试,纤维含量测试和数字图像处理方法(分别确定柱内强度,纤维和水泥分布)的详细信息。对1 g测试结果进行了自相关分析,结果表明,搅拌均匀性受刮刀转速的影响,并且在搅拌过程中纤维易于从水泥浆中解离。

著录项

  • 作者

    Teo, Hui Juen.;

  • 作者单位

    National University of Singapore (Singapore).;

  • 授予单位 National University of Singapore (Singapore).;
  • 学科 Civil engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 369 p.
  • 总页数 369
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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