路基土抗剪强度与化学及矿物成分的关系

doi:10.13229/j.cnki.jdxbgxb20180252

Abstract

Abstract:

In order to reveal the variation law of the macro?mechanics properties of the subgrade soil from the mineral composition and the mineral content level, the primary and secondary chemical component measurements of the different plastic index subgrade soils were carried out. The rock mineral composition and clay mineral relative content are determined. Based on the gray relational theory, the correlation between the mineral content and the shear strength and cohesion and the internal friction angle were analyzed. The results show that among the chemical components, FeO, K₂O and SiO₂ have greatest relational degree with soil shear strength, and the relational degree is greater than 0.9; P₂O₅ has the greatest relational degree with the cohesion, it is greater than 0.85; Na₂O, SiO₂, K₂O, FeO have greatest relational degree with the internal friction angle, relational degree of Na₂O, SiO₂ is greater than 0.9, and relational degree of K₂O, FeO is greater than 0.8. According to the mineral composition of the whole rock, f_s and Q have great relational degree with the shear strength, the cohesion and the internal friction angle. The relational degree is greater than 0.9. While Pl has little relation degree with the macro?mechanics properties, and its effect on shear strength and parameters can be ignored. According to relative content of clay minerals, I/S has the greatest relation degree with the shear strength and cohesion and the internal friction angle. Whereas I has greater relation degree with soil cohesion. K has little relation degree with the shear strength and parameters, so it can be ignored when soil macro?mechanics properties are analyzed.

Key words: road engineering, subgrade soil, shear strength and parameters, complete chemical analysis, gray correlation

CLC Number:

U416.1

Jing WANG,Xiang LYU,Xiao⁃long QU,Chun⁃ling ZHONG,Yun⁃long ZHANG. Analysis of relationship between subgrade soil shear strength and chemical and minerals component[J].Journal of Jilin University(Engineering and Technology Edition), 2019, 49(3): 766-772.

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References 17

1	李广信. 高等土力学[M]. 北京:清华大学出版社,2014:114⁃116.
2	龚晓南. 软黏土地基土体抗剪强度若干问题[J]. 岩土工程学报,2011,33(10):1596⁃1600.
	GongXiao⁃nan. Some problems concerning shear strength of soil in soft clay ground[J]. Chinese Journal of Geotechnical Engineering,2011,33(10):1596⁃1600.
3	周波. 公路路基黄土的湿陷性评价方法研究[D].长春:吉林大学建设工程学院,2009.
	ZhouBo. Study on collapsibility evaluation method of loess in roadbed[D]. Changchun:College of Construction Engineering,Jilin University,2009.
4	柏立懂. 合徐高速公路南段膨胀土矿物成分及微结构[J]. 水文地质工程地质,2005(4):13⁃16.
	BaiLi⁃dong. Mineral composition and microstructure of expansive soil in south part of Hefei⁃Xuzhou Expressway[J]. Hydrogeology and Engineering Geology,2005(4):13⁃16.
5	柏立懂. 合徐合安高速公路膨胀土的矿物化学成分及微结构的研究[D]. 合肥:合肥工业大学资源与环境工程学院,2005.
	BaiLi⁃dong. Research on the composition of expansive soil of He⁃Xu and He⁃An expressway and its microstructure[D]. Hefei:School of Resources and Environment,Hefei University of Technology,2005.
6	闫瑞敏，桂蕾. 滑带土抗剪强度与其矿物成分典型相关性分析[J]. 人民长江,2016,47(8):47⁃50.
	YanRui⁃min,GuiLei. Canonical correlation analysis between shear strength and mineral composition of sliding zone soil [J]. Yangtze River,2016,47(8):47⁃50.
7	王小花，刘红军，贾永刚. 黄河口粉质土矿物成分特征及对水动力条件相应的研究[J]. 海洋科学,2008,32(2):42⁃46.
	WangXiao⁃hua, LiuHong⁃jun, JiaYong⁃gang. The research on the mineral characteristics of sediment and the response to the hydrodynamic conditions of the tidal flat, at the northern Yellow River Delta[J]. Marine Sciences,2008,32(2):42⁃46.
8	何蕾. 矿物成分与水化学成分对粘性土抗剪强度的控制规律及其应用[D]. 北京:中国地质大学(北京)水资源与环境学院,2014.
	HeLei. Impact of mineralogical composition and water chemistry on the shear strength of clay and its application [D]. Beijing: Institute of Water Resources and Environment,China University of Geosciences (Beijing),2014.
9	李景阳,梁风，朱立军，等. 两种典型碳酸盐红土风化剖面的物理化学特征[J]. 中国岩溶,2005,24(1):28⁃34.
	LiJing⁃yang,LiangFeng,ZhuLi⁃jun,et al. Physical and chemical properties of two typical weathered profiles of carbonate rocks[J]. Carsologica Sinica,2005,24(1):28⁃34.
10	陈积普,徐则民. 某路基边坡化学风化机理研究[J].水文地质工程地质,2014,41(6):134⁃140.
	ChenJi⁃pu，XuZe⁃min. Study on chemical weathering mechanisms of a roadbed slope[J]. Hydrogeology and Engineering Geology,2014,41(6):134⁃140.
11	JTG E40—2007.公路土工试验规程[S].
12	JTG F10—2006.公路路基施工技术规范[S].
13	GB/T14506.28—2010. 硅酸盐岩石化学分析方法第28部分：16个主次成分量测定[S].
14	JY/T009—1996. 转靶多晶体X射线衍射方法通则[S].
15	王毅,岳光华,李维. 石灰岩矿物成分对其集料磨光值的灰色关联分析[J].江苏大学学报:自然科学版,2015,36(3):353⁃356,372.
	Wang Yi Yue Guang⁃hua Li We. Analysis of grey incidence between limestone mineral composition and polishing value of aggregate[J]. Journal of Jiangsu University(Natural Science Edition), 2015,36(3):353⁃356,372.
16	单黎黎,何向东,钟志明,等. 基于n阶灰色补偿因子的装备维修保障费用预测模型[J]. 江苏大学学报:自然科学版,2014,35(6):685⁃692.
	ShanLi⁃li,HeXiang⁃dong,ZhongZhi⁃ming,et al. Prediction model of equipment maintenance support cost based on n⁃order gray system theory[J]. Journal of Jiangsu University(Natural Science Edition), 2014,35(6):685⁃692.
17	林文玉. 岩土物理力学性质指标的关联度分析[J]. 中国农村水利水电,2007(2):27⁃28.
	LinWen⁃Yu. Correlative degree analysis of physical and mechanical properties of geotechnical[J]. China Rural Water and Hydropower,2007(2):27⁃28.

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土的种类	天然含水量/%	液限/%	塑限/%	塑性指数I_p	击实试验
土的种类	天然含水量/%	液限/%	塑限/%	塑性指数I_p	最佳含水量/%	最大干密度/(g·cm^?3)
土样A	2.3	24.7	13.4	11.3	11.1	2.04
土样B	4.9	35.9	20.6	15.3	15.3	1.86
土样C	5.3	40.2	20.1	20.1	14.1	1.83

土的种类	SiO₂	Al₂O₃	Fe₂O₃	FeO	CaO	MgO	K₂O	Na₂O	P₂O₅	MnO	LOI	其他	总和
土样A(I_p=11.3)	79.22	10.2	1.59	0.37	0.9	0.5	3.19	2	0.04	0.06	1.31	0.62	100
土样B(I_p=15.3)	68.76	14.53	4.13	0.37	1.25	1.32	3.07	1.99	0.08	0.09	3.46	0.95	100
土样C(I_p=20.1)	66.77	15.28	4.93	0.37	1.24	1.36	2.89	0.79	0.08	0.12	4.03	2.14	100

		SiO₂	Al₂O₃	Fe₂O₃	FeO	CaO	MgO	K₂O	Na₂O	P₂O₅	MnO	LOI	其他
抗剪强度/kPa	100	0.883	0.818	0.580	0.955	0.846	0.593	0.920	0.840	0.684	0.746	0.578	0.667
	200	0.911	0.803	0.579	0.988	0.828	0.592	0.951	0.866	0.678	0.735	0.577	0.660
	300	0.922	0.798	0.578	0.989	0.822	0.591	0.963	0.876	0.676	0.732	0.577	0.657
	平均值	0.905	0.806	0.579	0.977	0.832	0.592	0.945	0.860	0.679	0.738	0.578	0.662
黏聚力/kPa		0.615	0.785	0.610	0.643	0.750	0.630	0.629	0.593	0.859	0.782	0.606	0.647
内摩擦角/(°)		0.903	0.741	0.581	0.854	0.755	0.591	0.874	0.915	0.657	0.698	0.580	0.642

		Q	f_s	Pl	黏土总量
抗剪强度/kPa	100	0.817	0.951	0.743	0.668
	200	0.869	0.977	0.721	0.654
	300	0.992	0.962	0.481	0.435
	平均值	0.893	0.963	0.648	0.586
黏聚力/kPa		0.927	0.964	0.484	0.435
内摩擦角/(°)		0.993	0.935	0.481	0.437

		I/S	I	K
抗剪强度/kPa	100	0.961	0.634	0.418
	200	0.957	0.620	0.412
	300	0.956	0.615	0.409
	平均值	0.958	0.623	0.413
黏聚力/kPa		0.874	0.741	0.435
内摩擦角/(°)		0.939	0.577	0.399

Analysis of relationship between subgrade soil shear strength and chemical and minerals component

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