基于超声横波测试的Na基膨润土充填体强度预测模型研究

林强; 管华栋; 王观石; 程锦山

doi:10.19606/j.cnki.jmst.2024.03.011

基于超声横波测试的Na基膨润土充填体强度预测模型研究

doi: 10.19606/j.cnki.jmst.2024.03.011

1.
江西理工大学土木与测绘工程学院，江西赣州 341000
2.
江西理工大学江西省环境岩土与工程灾害控制重点实验室，江西赣州 341000

基金项目:

江西省教育厅科学技术研究项目 GJJ190499

江西理工大学人才培养项目 205200100112

详细信息

作者简介:
林强(2000—)，男，江西赣州人，硕士研究生，主要从事离子型稀土绿色提取及岩石力学等方面的研究工作。Tel：18365413750，E-mail：2791722483@qq.com

通讯作者:
管华栋(1988—)，男，江西赣州人，博士，讲师，主要从事岩石力学等方面的研究工作。E-mail：yidixuezi@126.com

中图分类号: TD853
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- 被引次数: 0
出版历程
- 收稿日期: 2023-11-20
- 修回日期: 2024-04-03
- 刊出日期: 2024-06-30

Research on the strength prediction model of Na based bentonite filling body based on ultrasonic transverse wave testing

1.
School of Civil Surveying Engineering, Jiangxi University of Seience and Technology, Ganzhou Jiangxi 341000, China
2.
Jiangxi Province Key Laboratory of Environmental Geotechnical Engineering and Hazards Control, Jiangxi University of Seience and Technology, Ganzhou Jiangxi 341000, China

摘要

摘要:
充填体作为充填采矿法的核心单元，其强度是保障安全开采的重要指标。Na基膨润土的亚甲基蓝吸附量和生坯抗压强度较高，是制备充填体的优质添加剂，然而鲜有其掺量与充填体强度之间关系的研究成果。本文基于超声波测试技术和单轴压缩试验，分析不同Na基膨润土掺量充填体的横波波速、主频幅值、幅值衰减系数、波形分形维数在各龄期的变化规律，结合敏感性分析遴选出对抗压强度变化最敏感的声学参数。建立了不同Na基膨润土掺量下充填体强度的预测模型，并结合显著性检验及对比分析，对强度预测模型进行了验证。研究成果可为开展充填体单轴抗压强度预测的相关理论研究和工程应用提供参考和帮助。
- 充填体 /
- Na基膨润土 /
- 超声波测试 /
- 单轴抗压强度 /
- 幅值衰减系数 /
- 预测模型
Abstract:
As the core unit of backfill mining method, the strength of backfill is an important indicator to ensure safe mining. Na-based bentonite features a high methylene blue adsorption capacity and green compressive strength, making it a high-quality additive for preparing filling materials. However, there are few studies probing into the relationship between the dosage and the strength of the filling materials. This paper analyzes the changes in shear wave velocity, dominant frequency amplitude, amplitude attenuation coefficient, and waveform fractal dimension of filling materials with different Na-based bentonite dosages at different ages through ultrasonic testing technology and uniaxial compression tests. Combined with sensitivity analysis, we selected the most sensitive acoustic parameters to changes in compressive strength. Furthermore, this study establishes a strength prediction model for backfill with different Na-bentonite contents and combining significance testing and comparative analysis. The research findings can serve as a valuable reference for theoretical research and engineering applications related to predicting the uniaxial compressive strength of backfill materials.
- filling body /
- Na based bentonite /
- ultrasonic testing /
- uniaxial compressive strength /
- amplitude attenuation coefficient /
- prediction model

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图 1 充填体试样制作

Figure 1. Preparation of filling sample

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图 2 实验设备

Figure 2. Experimental equipment

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图 3 不同龄期及掺量与横波波速变化曲线

Figure 3. Variation curve of shear wave velocity with different age and content

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图 4 不同龄期及掺量与主频幅值变化曲线

Figure 4. Variation curve of main frequency amplitude and dosage at different ages

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图 5 不同龄期及掺量与幅值衰减系数变化曲线

Figure 5. Variation curve of attenuation coefficient between different ages and dosage and amplitude

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图 6 不同龄期及掺量与波形分形维数变化曲线

Figure 6. Variation curve of fractal dimension of waveform with different age and dosage

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图 7 不同龄期与抗压强度关系

Figure 7. Relationship between different ages and compressive strength

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图 8 声学参数对充填体抗压强度变化敏感性分析

Figure 8. Sensitivity analysis of acoustic parameters to changes in compressive strength of filling materials

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图 9 3种模型的回归系数t值统计

Figure 9. Regression coefficient t-values for the three models

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表 1 试样的主要化学成分

Table 1. Chemical composition of sample materials %

化学成分	SiO₂	Al₂O₃	MgO	SO₃	Fe₂O₃	TiO₂	MnO	CaO	K₂O
水泥	20.41	4.68	2.66	3.16	3.20	0.27	—	62.23	0.71
粉煤灰	51.38	33.07	1.02	0.24	4.58	1.14	—	4.13	0.86
尾砂	63.72	18.77	2.77	0.75	4.08	0.50	0.21	3.98	4.26
炉渣	33.27	10.70	7.78	2.20	1.70	1.18	1.13	39.59	—

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表 2 尾砂粒径分布

Table 2. Distribution of tail sand particle size

粒径/μm	-16	-40	-80	-160	-233	-300	-400	+400
尾砂产率/%	4.64	7.81	9.15	18.25	10.30	20.63	27.21	2.01
尾砂累计/%	4.64	12.45	21.6	39.85	50.15	70.78	97.99	100.00

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表 3 炉渣粒径分布

Table 3. Particle size distribution of slag

粒径/μm	-5	+5~10	+10~20	+20~30	+30~40	+40
炉渣产率/%	12.50	37.69	28.19	15.86	5.77	0.29
炉渣累计/%	12.20	49.89	78.08	93.94	99.71	100.00

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表 4 σ-的回归关系拟合

Table 4. Regression fitting results of σ-α relationship

回归模型	龄期/d	回归方程	R²
线性	7	σ=3.88-0.007	0.74
	14	σ=8.47-0.04	0.92
	28	σ=13.73-0.06	0.95
多项式	7	σ=6.28-0.07α-(2.9E-4)α²	0.89
	14	σ=8.66-0.04α-(2.73E-5)α²	0.80
	28	σ=12.98-0.05α-(1.89E-5)α²	0.80
指数	7	σ=3.2-47.31e^(-α/12.08)	0.87
	14	σ=29.9e ^(α/611.9)-18.16	0.96
	28	σ=42.3e^(α/588.9)-11.16	0.33
幂函数	7	σ=7.17α^(-0.18)	0.64
	14	σ=69α^(-0.58)	0.77
	28	σ==67.7α^(-0.46)	0.97
对数函数	7	σ=ln(42.07-0.18α)	0.53
	14	σ=ln(848.2-7.52α)	0.95
	28	σ=ln(38 772-353.7α)	0.94

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表 5 不同模型各龄期相关性系数

Table 5. Correlation coefficients of different models at different ages

养护龄期/d	文献[10]模型相关性系数γ²	本文模型相关性系数γ²
7	0.98	0.74
14	0.92	0.92
28	0.74	0.95

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基于超声横波测试的Na基膨润土充填体强度预测模型研究

doi: 10.19606/j.cnki.jmst.2024.03.011

作者简介:
林强(2000—)，男，江西赣州人，硕士研究生，主要从事离子型稀土绿色提取及岩石力学等方面的研究工作。Tel：18365413750，E-mail：2791722483@qq.com

通讯作者:
管华栋(1988—)，男，江西赣州人，博士，讲师，主要从事岩石力学等方面的研究工作。E-mail：yidixuezi@126.com

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Research on the strength prediction model of Na based bentonite filling body based on ultrasonic transverse wave testing

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目录

留言板

基于超声横波测试的Na基膨润土充填体强度预测模型研究

doi: 10.19606/j.cnki.jmst.2024.03.011

作者简介: 林强(2000—)，男，江西赣州人，硕士研究生，主要从事离子型稀土绿色提取及岩石力学等方面的研究工作。Tel：18365413750，E-mail：2791722483@qq.com

通讯作者: 管华栋(1988—)，男，江西赣州人，博士，讲师，主要从事岩石力学等方面的研究工作。E-mail：yidixuezi@126.com

计量

出版历程

Research on the strength prediction model of Na based bentonite filling body based on ultrasonic transverse wave testing

计量

出版历程

目录

作者简介:
林强(2000—)，男，江西赣州人，硕士研究生，主要从事离子型稀土绿色提取及岩石力学等方面的研究工作。Tel：18365413750，E-mail：2791722483@qq.com

通讯作者:
管华栋(1988—)，男，江西赣州人，博士，讲师，主要从事岩石力学等方面的研究工作。E-mail：yidixuezi@126.com