以微结构分析为重点的玻璃纤维增强细粒土参数化研究

IF 2.3 Q2 ENGINEERING, GEOLOGICAL
Nadeem Gul, B. Mir
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引用次数: 9

摘要

摘要采用综合实验程序研究了玻璃纤维对细粒土力学性能的参数影响。根据纤维长度、纤维含量、土壤密度、含水量和加载速率,系统地研究了无筋土和加筋土试样在单轴压缩下的性能。无侧限抗压强度试验(UCS)结果证实了UCS改进指数()对所选参数的依赖性。对于18mm的纤维长度和0.9%的纤维含量,观察到UCS改善指数为71.68%。通过扫描电子显微镜分析失效模式和微观结构机制,研究了界面形态。利用人工神经网络(ANN)建立了不同配筋参数与土体强度关系的估计模型。这项研究有望有助于更好地理解FRS的力学行为及其在该领域的后续应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parametric study of glass fiber reinforced fine-grained soil with emphasis on microstructural analysis
ABSTRACT A comprehensive experimental programme was undertaken to study the parametric effect on mechanical behaviour of fine-grained soils by inclusion of glass fibres. The behaviour of both unreinforced and reinforced soil specimens under uni-axial compression was systematically investigated corresponding to fibre length, fibre content, soil density, moisture content and loading rate. The unconfined compression strength test (UCS) results confirmed the reliance of UCS improvement index ( ) on the selected parameters. For 18 mm fibre length and 0.9% fibre content, UCS improvement index of 71.68% was observed. The interface morphologies were studied by analysing the failure patterns and microstructural mechanisms through scanning electron microscopy. Artificial neural network (ANN) was used to develop an estimation model of the relationship between soil strength and different reinforcement parameters. This study is expected to help in better understanding of mechanical behaviour of FRS and its subsequent application in the field.
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来源期刊
CiteScore
5.30
自引率
5.30%
发文量
32
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