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压实二灰稳定纤维土混合料抗压试验的密度控制方法

Density control method for compression test of compacted lime-flyash stabilised fiber-soil mixtures.

作者信息

Kafodya Innocent, Okonta F

机构信息

Civil Engineering Science Department, University of Johannesburg, P.O Box 524, Auckland Park, 2006, South Africa.

出版信息

MethodsX. 2018 Apr 21;5:848-856. doi: 10.1016/j.mex.2018.04.010. eCollection 2018.

DOI:10.1016/j.mex.2018.04.010
PMID:30128302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6097468/
Abstract

The unconfined compressive strength test is the widely accepted protocol to investigate the strength properties of lime amended soil. As a quality control measure, specimens for unconfined compression test are prepared at a predetermined maximum dry density (MDD) using standard Proctor test. Replicating MDD in a small sized mould is difficult and subject to errors, which normally arise due to inconsistent compaction efforts. The conventional method for preparing specimens involves driving a core sampler into the compacted soil to extract the specimen. The approach proves to be laborious and is associated with high material usage, as such is not ideal for investigations of many variables. To address these challenges, an alternative protocol for specimen preparation at a controlled dry density was devised. In this study, a statistical analysis of the density values was used to validate the method. The regression analysis was employed to calibrate the compaction effort for a specified target density. The method offers manifold benefits such as; •Improved quality of specimens.•Reduced variability of UCS test data.•Efficiency.•Reduced material usage.

摘要

无侧限抗压强度试验是研究石灰改良土强度特性广泛认可的方法。作为一项质量控制措施,无侧限抗压试验的试件是使用标准普罗克特试验以预定的最大干密度(MDD)制备的。在小型模具中复制最大干密度很困难且容易出错,这些错误通常是由于压实力度不一致造成的。制备试件的传统方法是将取芯器打入压实土中以提取试件。事实证明,这种方法费力且材料用量大,因此对于许多变量的研究并不理想。为应对这些挑战,设计了一种在控制干密度下制备试件的替代方法。在本研究中,对密度值进行统计分析以验证该方法。采用回归分析来校准达到指定目标密度所需的压实力度。该方法具有诸多优点,例如:•提高试件质量。•减少无侧限抗压强度试验数据的变异性。•提高效率。•减少材料用量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/e9209cf10d84/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/6db186940fcb/fx1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/9620d4a9bd43/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/e9adb849f143/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/e6b865b548ac/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/a9a2a1bd19e3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/61e596f03f9f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/e9209cf10d84/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/6db186940fcb/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/c0b0d60cd612/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/9620d4a9bd43/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/e9adb849f143/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/e6b865b548ac/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/a9a2a1bd19e3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/61e596f03f9f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d92/6097468/e9209cf10d84/gr7.jpg

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