The Effect of Block-Matrix Interface of SRM with High Volumetric Block Proportion on Its Uniaxial Compressive Strength
Source abstract
Abstract
The soil–rock mixture (SRM), as a heterogeneous and discrete geomaterial, can be widely found in nature and may present difficult design and construction issues for structures within or on top of them. Engineers face a difficult problem when determining the mechanical behavior of geomaterials with SRM, especially those with a high volumetric block proportion (VBP). As it is often very difficult to prepare undisturbed and representative samples of these materials. Thus, this paper proposes a novel method that can generate SRM models with a high VBP and produce a block-matrix interface (BMI) around the rock block, which can simulate unwelded SRM in nature. Then, the finite difference method (FDM) is applied to simulate uniaxial compression tests. The conformity of the numerical simulation results with the experimental results shows that the method is reasonable and effective. In addition, the effect of the strength of the BMI, the thickness of the BMI, and the geometrical shape of the rock blocks on the uniaxial compressive strength (UCS) of the SRM are also investigated. The modelling approach proposed in this paper is able to generate BMI in SRMs and enables the effect of the BMI on the SRMs’ properties to be better investigated in numerical simulations. This method can overcome the difficulties of preparing representative and undisturbed experimental cores while saving cost and improving efficiency. Simultaneously, the method proposed in this paper is promising to be extended to three dimensions.
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Research context
OpenAlex topics: Geotechnical Engineering and Soil Stabilization · Geotechnical Engineering and Soil Mechanics · Geotechnical Engineering and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing 210098, China
Research Institute of Geotechnical Engineering, Hohai University, Nanjing 210098, China
Funding
National Natural Science Foundation of China
References (42)
Show source-provided references
1. Gao, W., Yang, H., Wang, L., and Hu, R. (2021). Numerical simulations of the soil–rock mixture mechanical properties considering the influence of rock block proportions by pfc2d. Materials, 14.10.3390/ma14185442 ↗
2. Research on the effect of rock content and sample size on the strength behavior of soil-rock mixture10.1007/s10064-020-02050-z ↗
3. Medley, E., and Sanz, P. (2004, January 7–9). Characterization of Bimrocks (Rock/Soil Mixtures) with Application to Slope Stability Problems. Proceedings of the Eurock 2004 and Geomechanics Colloquium, Salzburg, Austria.
4. Medley, E., and Goodman, R.E. (1994, January 1–3). Estimating the block volumetric proportions of melanges and similar block-in-matrix rocks (bimrocks). Proceedings of the 1st North American Rock Mechanics Symposium, Austin, TX, USA.
5. Fracture evolution analysis of soil-rock mixture in contrast with soil by CT scanning under uniaxial compressive conditions10.1007/s11431-020-1888-9 ↗
6. A coupling method incorporating digital image processing and discrete element method for modeling of geomaterials10.1108/EC-11-2016-0390 ↗
7. Two-dimensional X-ray CT image based meso-scale fracture modelling of concrete10.1016/j.engfracmech.2014.10.016 ↗
8. Study on the mesostructure and mesomechanical characteristics of the soil–rock mixture using digital image processing based finite element method10.1016/j.ijrmms.2007.09.003 ↗
9. Numerical analysis of the failure process of soil–rock mixtures through computed tomography and PFC3D models10.1007/s40789-018-0194-5 ↗
10. Use of X-ray computed tomography to investigate the effect of rock blocks on meso-structural changes in soil-rock mixture under triaxial deformation10.1016/j.conbuildmat.2017.12.173 ↗
11. Mesoscopic structure PFC∼ 2D model of soil rock mixture based on digital image10.1016/j.jvcir.2018.12.015 ↗
12. Study on the progressive fracturing in soil and rock mixture under uniaxial compression conditions by CT scanning10.1016/j.enggeo.2020.105884 ↗
13. DigiSim—An Open Source Software Package for Heterogeneous Material Modeling Based on Digital Image Processing10.1016/j.advengsoft.2020.102836 ↗
14. Mechanical behavior of bimrocks having high rock block proportion10.1016/j.ijrmms.2013.11.008 ↗
15. Triaxial tests of soil–rock mixtures with different rock block distributions10.1016/j.sandf.2016.01.004 ↗
16. Qian, J., Yao, Y., Li, J., Xiao, H., and Luo, S. (2020). Resilient properties of soil-rock mixture materials: Preliminary investigation of the effect of composition and structure. Materials, 13.10.3390/ma13071658 ↗
17. Experimental Study on Seepage Characteristics of a Soil-Rock Mixture in a Fault Zone10.32604/fdmp.2022.017882 ↗
18. Some geomechanical properties of soil–rock mixtures in the Hutiao Gorge area, China10.1680/geot.2007.57.3.255 ↗
19. In situ non-conventional shear tests for the mechanical characterisation of a bimrock10.1016/j.ijrmms.2010.09.012 ↗
20. Large-scale in-situ test for mechanical characterization of soil–rock mixture used in an embankment dam10.1016/j.ijrmms.2015.04.001 ↗
21. Estimating the uniaxial compressive strength of a volcanic bimrock10.1016/j.ijrmms.2005.09.014 ↗
22. An approach to predicting the shear strength of soil-rock mixture based on rock block proportion10.1007/s10064-019-01658-0 ↗
23. Microtremor survey and stability analysis of a soil-rock mixture landslide: A case study in Baidian town, China10.1007/s10346-018-1009-x ↗
24. A stochastic approach to slope stability analysis in bimrocks10.1016/j.ijrmms.2017.11.009 ↗
25. Observed performance and FEM-based parametric analysis of a top-down deep excavation in soil-rock composite stratum10.1155/2021/6964940 ↗
26. Stability analysis of soil-rock-mixture slopes using the numerical manifold method10.1016/j.enganabound.2019.09.020 ↗
27. A discrete numerical model for granular assemblies10.1680/geot.1979.29.1.47 ↗
28. Numerical direct shear tests for outwash deposits with random structure and composition10.1007/s10035-014-0504-6 ↗
29. Pierce, M., Mas Ivars, D., and Sainsbury, B. (2009, January 7–8). Use of synthetic rock masses (SRM) to investigate jointed rock mass strength and deformation behavior. Proceedings of the International Conference on Rock Joints and Jointed Rock Masses, Tucson, AZ, USA.
30. Effects of gravel content and shape on shear behaviour of soil-rock mixture: Experiment and DEM modelling10.1016/j.compgeo.2021.104476 ↗
31. Computed tomography based numerical simulation for triaxial test of soil–rock mixture10.1016/j.compgeo.2015.12.005 ↗
32. Random generation of the meso-structure of a soil-rock mixture and its application in the study of the mechanical behavior in a landslide dam10.1016/j.ijrmms.2016.04.007 ↗
33. Influence of volumetric block proportion on mechanical properties of virtual soil-rock mixtures10.1016/j.enggeo.2020.105850 ↗
34. Mesoscopic study of concrete I: Generation of random aggregate structure and finite element mesh10.1016/S0045-7949(98)00177-1 ↗
35. A numerical homogenization study of the elastic property of a soil-rock mixture using random mesostructure generation10.1016/j.compgeo.2018.01.015 ↗
36. Taghavi, R. (2011, January 14–16). Automatic clump generation based on mid-surface. Proceedings of the 2nd International FLAC/DEM Symposium, Melbourne, Australia.
37. Alonso-Marroquín, F., and Wang, Y. (2008). An efficient algorithm for granular dynamics simulation with complex-shaped objects. arXiv.10.1007/s10035-009-0139-1 ↗
38. Relationships between volumetric block proportions and overall UCS of a volcanic bimrock
39. Sonmez, H., Kasapoglu, K.E., Coskun, A., Tunusluoglu, C., Medley, E.W., and Zimmerman, R.W. (2009). ISRM Regional Symposium—EUROCK 2009, OnePetro. ISRM-EUROCK-2009-2055.
40. Rigid-Block DEM Modeling of Mesoscale Fracture Behavior of Concrete with Random Aggregates10.1061/JENMDT.EMENG-6784 ↗
41. Computational homogenization for thermal conduction in heterogeneous concrete after mechanical stress10.1016/j.conbuildmat.2017.03.016 ↗
42. An approach to predicting the overall strengths of unwelded bimrocks and bimsoils10.1016/j.enggeo.2014.10.007 ↗