›› 2017, Vol. 38 ›› Issue (6): 1725-1732.doi: 10.16285/j.rsm.2017.06.022

• Geotechnical Engineering • Previous Articles     Next Articles

The experimental study on structural parameters of unconsolidated layers soil of Nanpiao mining

LIU Wen-sheng1, WU Zuo-qi2, 3, LIANG Huai-jie4   

  1. 1. College of Civil Engineering and Transportation, Liaoning Technical University, Fuxin, Liaoning 123000, China; 2. Mine Safety Technology Branch of China Coal Research Institute, Beijing 100013, China; 3. State Key Laboratory of Coal Mining and Clean Utilization (China Coal Research Institute), Beijing 100013, China; 4. Liaoning South Coal and Electricity Co., Ltd., Coal Mine of Dayaogou, Huludao, Liaoning 125027, China
  • Received:2015-07-18 Online:2017-06-12 Published:2018-06-05
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (51274111).

Abstract: The structural and mechanical properties of the soil foundations on the construction site are critical for the investigation on the deformation and failure of structures in the goaf region. A series of true triaxial tests on the unconsolidated soils from Nanpiao mining area was conducted using TSW-40 apparatus. The variations of stress ratio and structural parameters of unconsolidated layers soil under true 3D stress state were measured under different conditions of the confining pressure, the moisture content and the intermediate principal stress ratio. A mathematical model of the structural parameters was established. The results show that undisturbed soil present three types of relationships between q and???s, i.e., strain softening, ideal elastoplasticity, and strain hardening. However, the remolded soil and saturated soil exhibit strain-hardening type of q???s relationship. The structural parameters m? decrease with increasing the shearing strain, moisture content, confining pressures, and intermediate principal stress ratio. In the initial stage of shearing, the structural parameter m? decreases significantly. Then mh tends to be stable gradually as ?s is equal to 5%. The m? equals to 1 when ?s equals 15%. The proposed mathematical model shows that of the number of mh is significantly dependent on confining pressures, whereas less sensitive to the moisture content, and the intermediate principal stress ratio. The proposed model describes well on the structural parameter of unconsolidated soils under different experimental conditions, and compares well with the experimental measurements.

Key words: comprehensive structure potential, stress ratio structural parameters, unconsolidated soil layers, the generalized shear strain, mining subsidence

CLC Number: 

  • TU 411

[1] GUO Xu-wei, YANG Xiao-qin, CHAI Shuang-wu. Optimization of the segmented Knothe function and its dynamic parameter calculation [J]. Rock and Soil Mechanics, 2020, 41(6): 2091-2097.
[2] ZHANG Bing, CUI Xi-min, . Optimization of segmented Knothe time function model for dynamic prediction of mining subsidence [J]. , 2017, 38(2): 541-548.
[3] XU Guo-sheng,LI De-hai,HOU De-feng,ZHANG Yan-bin. Measurement and prediction of the transientsurface movement and deformation induced by mining under thick alluvium [J]. , 2016, 37(7): 2056-2062.
[4] ZHAO Xiao-dong, CHEN Yang, JIANG Jian. Probability integral method of arbitrary shape face to predict mining subsidence and its application [J]. , 2016, 37(12): 3387-3392.
[5] DENG Guo-hua ,SHAO Sheng-jun . Research on change structural characteristics of loess based on true triaxial tests [J]. , 2013, 34(3): 679-684.
[6] WANG Zheng-shuai , DENG Ka-zhong. Richards model of surface dynamic subsidence prediction in mining area [J]. , 2011, 32(6): 1664-1668.
[7] WANG Xiao-lin ,SHUAI Jian,ZHANG Jian-qiang . Mechanical response analysis of buried pipeline crossing mining subsidence area [J]. , 2011, 32(11): 3373-3378.
[8] ZHANG Chun-hui, ZHAO Quan-sheng. Early warning system of mining subsidence damage based on ARCGIS [J]. , 2009, 30(7): 2197-2202.
[9] REN Song, JIANG De-yi, YANG Chun-he, JIANG Zai-wen. Study on a new probability integral 3D model for forecasting solution mining subsidence of rock s [J]. , 2007, 28(1): 133-138.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!