Geomechanics and Engineering

  • 제36권5호
  • /
  • Pages.475-487
  • /
  • 2024
  • /
  • 2005-307X(pISSN)
  • /
  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A new viewpoint on stability theorem for engineering structural and geotechnical parameter

  • Timothy Chen (Guangdong University of Petrochem Technol, Sch Sci) ;
  • Ruei-Yuan Wang (Guangdong University of Petrochem Technol, Sch Sci) ;
  • Yahui Meng (Guangdong University of Petrochem Technol, Sch Sci) ;
  • Z.Y. Chen (Guangdong University of Petrochem Technol, Sch Sci)
  • 투고 : 2023.01.03
  • 심사 : 2024.02.19
  • 발행 : 2024.03.10
⟨ 이전 논문 다음 논문 ⟩

초록

Many uncertainties affect the stability assessment of rock structures. Some of these factors significantly influence technology decisions. Some of these factors belong to the geological domain, and spatial uncertainty measurements are useful for structural stability analysis. This paper presents an integrated approach to study the stability of rock structures, including spatial factors. This study models two main components: discrete structures (fault zones) and well known geotechnical parameters (rock quality indicators). The geostatistical modeling criterion are used to quantify geographic uncertainty by producing simulated maps and RQD values for multiple equally likely error regions. Slope stability theorem would be demonstrated by modeling local failure zones and RQDs. The approach proided is validated and finally, the slope stability analysis method and fuzzy Laypunov criterion are applied to mining projects with limited measurement data. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results of linear and nonlinear structures show that the proposed method is able to identify structural parameters and their changes due to damage and unknown excitations. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and fuzzy theory.

키워드

과제정보

The authors are grateful for the research grants of GDUPT, Peoples R China under Grant NO. 2019rc098, and the Grant NO. NO. 2021rc002 in Guangdong Province, Peoples R China. Also, the authors wish to appreciate to constructive suggestions from the anonymous reviewers.

참고문헌

  1. Bai, B., Zhou, R., Cai, G., Hu, W. and Yang, G. (2021), "Coupled thermo-hydro-mechanical mechanism in view of the soil particle rearrangement of granular thermodynamics", Comput. Geotech., 137, 104272. https://doi.org/10.1016/j.compgeo.2021.104272.
  2. Canakci, H., Aziz, A. and Celik, F. (2016), "Soil stabilization of clay with lignin, rice husk powder and ash", Geomech. Eng., 8(1), 67-79. https://doi.org/10.12989/gae.2015.8.1.067.
  3. Cao, J., Bu, F., Wang, J., Bao, C., Chen, W. and Dai, K. (2023), "Reconstruction of full-field dynamic responses for large-scale structures using optimal sensor placement", J. Sound Vib., 554, 117693. https://doi.org/10.1016/j.jsv.2023.117693.
  4. Cao, J., He, H., Zhang, Y., Zhao, W., Yan, Z. and Zhu, H. (2023), "Crack detection in ultrahigh-performance concrete using robust principal component analysis and characteristic evaluation in the frequency domain", Struct. Health Monit., https://doi.org/10.1177/14759217231178457.
  5. Cao, J., Quek, S., Xiong, H. and Yang, Z. (2023), "Comparison of constrained unscented and cubature Kalman filters for nonlinear system parameter identification", J. Eng. Mech., 149(11), 4023088. https://doi.org/10.1061/JENMDT.EMENG-7091.
  6. Ceylan, H., Gopalakrishnan, K. and Kim, S. (2019), "Soil stabilization with bioenergy coproduct", Transp. Res. Record, 2186, 130-137. https://doi.org/10.3141/2186-14.
  7. Chang, I., Im, J., Lee, S.K. and Cho, G.C. (2017), "Strength durability of gellan gum biopolymer-treated Korean sand with cyclic wetting and drying", Constr. Build. Mater., 143, 210-221. https://doi.org/10.1016/j.conbuildmat.2017.02.061.
  8. Chen, L., Wang, Z., Li, X. and Gao, L. (2023), "Enhancing the accuracy of the scale of fluctuation estimating for tunnel surrounding rock mass characteristics", Int. J. Rock Mech. Min. Sci., 170. https://doi.org/10.1016/j.ijrmms.2023.105513.
  9. Chen, Y., Zhu, L., Hu, Z., Chen, S. and Zheng, X. (2023), "Risk propagation in multilayer heterogeneous network of coupled system of large engineering project", J. Management Eng., 38(3), 4022003. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001022.
  10. Cui, W., Caracoglia, L., Zhao, L. and Ge, Y. (2023), "Examination of occurrence probability of vortex-induced vibration of long-span bridge decks by Fokker-Planck-Kolmogorov equation", Struct. Saf., 105, 102369. https://doi.org/10.1016/j.strusafe.2023.102369.
  11. Cui, W., Zhao, L. and Ge, Y. (2023), "Wind-induced buffeting vibration of long-span bridge considering geometric and aerodynamic nonlinearity based on reduced-order modeling", J. Struct. Eng., 149(11), 4023160. https://doi.org/10.1061/JSENDH.STENG-11543.
  12. Cui, W., Zhao, L., Ge, Y. and Xu, K. (2024), "A generalized van der Pol nonlinear model of vortex-induced vibrations of bridge decks with multistability", Nonlinear Dynam., 112(1), 259-272. https://doi.org/10.1007/s11071-023-09047-9.
  13. Dai, Z., Li, X. and Lan, B. (2023), "Three-dimensional modeling of Tsunami waves triggered by submarine landslides based on the smoothed particle hydrodynamics method", J. Mar. Sci. Eng., 11(10), 2015. https://doi.org/10.3390/jmse11102015.
  14. Du, W. and Wang, G. (2014), "Fully probabilistic seismic displacement analysis of spatially distributed slopes using spatially correlated vector intensity measures", Earthq. Eng. Struct. D., 43(5), 661-679. https://doi.org/10.1002/eqe.2365.
  15. Ham, S.M., Chang, I., Noh, D.H. and Kwon, T.H. (2018), "Improvement of surface erosion resistance of sand by microbial biopolymer formation", Geotech. Geoenviron. Eng., 144(7), 06018004-1-6. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001900.
  16. Han, S., Li, H., Li, M., Zhang, J., Ma, J. and Zhao, W. (2022), "Deep learning-based stochastic modelling and uncertainty analysis of fault networks", Bull. Eng. Geol. Environ., 81, 242. https://doi.org/10.1007/s10064-022-02735-7.
  17. He, H., Shuang, E., Wen, T., Yao, J., Wang, X., He, C. and Yu, Y. (2023), "Employing novel N-doped graphene quantum dots to improve chloride binding of cement", Constr. Build. Mater., 401, 132944. doi: https://doi.org/10.1016/j.conbuildmat.2023.132944
  18. Huang, H., Li, M., Zhang, W. and Yuan, Y. (2022), "Seismic behavior of a friction-type artificial plastic hinge for the precast beam-column connection", Arch. Civil Mech. Eng., 22(4), 201. https://doi.org/10.1007/s43452-022-00526-1.
  19. Huang, H., Yao, Y., Zhang, W. and Zhou, L. (2023), "A push-out test on partially encased composite column with different positions of shear studs", Eng. Struct., 289, 116343. https://doi.org/10.1016/j.engstruct.2023.116343.
  20. Jia, B. and Zhou, G. (2023), "Estimation of global karst carbon sink from 1950s to 2050s using response surface methodology", Geo-spatial Inform. Sci., https://doi.org/10.1080/10095020.2023.2165974.
  21. Jia, S., Dai, Z., Zhou, Z., Ling, H., Yang, Z., Qi, L., Wang, Z., Zhang, X., Thanh, H.V. and Soltanian, M.R. (2023), "Upscaling dispersivity for conservative solute transport in naturally fractured media", Water Res., 235, 119844. https://doi.org/10.1016/j.watres.2023.119844.
  22. Johari, A. and Fooladi, H. (2023), "System reliability analysis of site slope using the conditional spatial variability of soil characteristics", Iran J. Sci. Technol. Trans. Civ. Eng., https://doi.org/10.1007/s40996-023-01200-z.
  23. Kring, K. and Chatterjee, S. (2020), "Uncertainty quantification of structural and geotechnical parameter by geostatistical simulations applied to a stability analysis case study with limited exploration data", Int. J. Rock Mech. Min. Sci., 125. https://doi.org/10.1016/j.ijrmms.2019.104157.
  24. Li, D., Nie, J., Wang, H. and Ren, W. (2024), "Loading condition monitoring of high-strength bolt connections based on physics-guided deep learning of acoustic emission data", Mech. Syst. Signal Pr., 206, 110908. https://doi.org/10.1016/j.ymssp.2023.110908.
  25. Li, J., Chen, M. and Li, Z. (2022), "Improved soil-structure interaction model considering time-lag effect", Comput. Geotech., 148, 104835. https://doi.org/10.1016/j.compgeo.2022.104835.
  26. Li, J., Liu, Y. and Lin, G. (2023), "Implementation of a coupled FEM-SBFEM for soil-structure interaction analysis of large-scale 3D base-isolated nuclear structures", Comput. Geotech., 162, 105669. https://doi.org/10.1016/j.compgeo.2023.105669.
  27. Li, J., Zhang, Y., Lin, L. and Zhou, Y. (2023), "Study on the shear mechanics of gas hydrate-bearing sand-well interface with different roughness and dissociation", Bull. Eng. Geol. Environ., 82(11), 404. https://doi.org/10.1007/s10064-023-03432-9.
  28. Li, X., Zhu, H. and Yuan, Q. (2023), "Dilatancy equation based on the property-dependent plastic potential theory for geomaterials", Fractal and Fractional, 7(11), 824. https://doi.org/10.3390/fractalfract7110824.
  29. Liu, C., Cui, J., Zhang, Z., Liu, H., Huang, X. and Zhang, C. (2021), "The role of TBM asymmetric tail-grouting on surface settlement in coarse-grained soils of urban area: Field tests and FEA modelling", Tunn. Undergr. Sp. Tech., 111, 103857. https://doi.org/10.1016/j.tust.2021.103857.
  30. Liu, W., Liang, J. and Xu, T. (2023), "Tunnelling-induced ground deformation subjected to the behavior of tail grouting materials", Tunn. Undergr. Sp. Tech., 140, 105253. https://doi.org/10.1016/j.tust.2023.105253.
  31. Liu, W., Zhou, H., Zhang, S. and Zhao, C. (2023), "Variable parameter creep model based on the separation of viscoelastic and viscoplastic deformations", Rock Mech. Rock Eng., 56(6), 4629-4645. https://doi.org/10.1007/s00603-023-03266-7.
  32. Long, X., Mao, M., Su, T., Su, Y. and Tian, M. (2023), "Machine learning method to predict dynamic compressive response of concrete-like material at high strain rates", Defence Tech., 23, 100-111. https://doi.org/10.1016/j.dt.2022.02.003.
  33. Ren, C., Yu, J., Liu, S., Yao, W., Zhu, Y. and Liu, X. (2022), "A plastic strain-induced damage model of porous rock suitable for different stress paths", Rock Mech. Rock Eng., 55(4), 1887-1906. https://doi.org/10.1007/s00603-022-02775-1.
  34. Ren, C., Yu, J., Liu, X., Zhang, Z. and Cai, Y. (2022), "Cyclic constitutive equations of rock with coupled damage induced by compaction and cracking", Int. J. Min. Sci. Tech., 32(5), 1153-1165. https://doi.org/10.1016/j.ijmst.2022.06.010
  35. Ren, C., Yu, J., Zhang, C., Liu, X., Zhu, Y. and Yao, W. (2023), "Micro-macro approach of anisotropic damage: A semi-analytical constitutive model of porous cracked rock", Eng. Fract. Mech., 290, 109483. https://doi.org/10.1016/j.engfracmech.2023.109483.
  36. She, A., Wang, L., Peng, Y. and Li, J. (2023), "Structural reliability analysis based on improved wolf pack algorithm AKSS", Structures, 57, 105289. https://doi.org/10.1016/j.istruc.2023.105289.
  37. Shi, M., Hu, W., Li, M., Zhang, J., Song, X. and Sun, W. (2023). "Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine", Mech. Syst. Signal Pr., 188, 110022. https://doi.org/10.1016/j.ymssp.2022.110022.
  38. Shi, M., Lv, L. and Xu, L. (2023), "A multi-fidelity surrogate model based on extreme support vector regression: fusing different fidelity data for engineering design", Eng. Comput., 40(2), 473-493. https://doi.org/10.1108/EC-10-2021-0583.
  39. Stavropoulou, M., Exadakytlos, G. and Saratsis, G. (2022), "A combined three-dimensional geological-geostatistical-numerical model of underground excavations in rock", Rock Mech. Rock Eng., 213-243.
  40. Suchomel, R. and Masin, D. (2022), "Comparison of different probabilistic methods for predicting stability of a slope in spatially variable c-φ soil", Comput. Geotech., 37(1-2), 132-140. https://doi.org/10.1016/j.compgeo.2009.08.005.
  41. Sung, E. (2018), "Probabilistic stability analyses of slopes using the ANN-based response surface", Comput. Geotech., 36(5), 787-797. https://doi.org/10.1016/j.compgeo.2009.01.003.
  42. Tian, H., Pei, J., Huang, J., Li, X., Wang, J., Zhou, B. and Wang, L. (2020), "Garlic and winter wheat identification based on active and passive satellite imagery and the google earth engine in Northern China", Remote Sens. (Basel, Switzerland), 12, 3539. https://doi.org/10.3390/rs12213539.
  43. Wang, X., Li, L., Xiang, Y., Wu, Y. and Wei, M. (2024), "The influence of basalt fiber on the mechanical performance of concrete-filled steel tube short columns under axial compression", Front. Mater., 10. https://doi.org/10.3389/fmats.2023.1332269.
  44. Xu, J., Zhou, G., Su, S., Cao, Q. and Tian, Z. (2022), "The development of a rigorous model for bathymetric mapping from multispectral satellite-images", Remote Sens., 14(10). https://doi.org/10.3390/rs14102495.
  45. Xu, Z., Li, X., Li, J., Xue, Y., Jiang, S., Liu, L. and Sun, Q. (2022), "Characteristics of source rocks and genetic origins of natural gas in deep formations, Gudian Depression, Songliao Basin, NE China", ACS Earth and Space Chemistry, 6(7), 1750-1771. https://doi.org/10.1021/acsearthspacechem.2c00065
  46. Xu, P., Lan, D., Wang, F. and Shin, I. (2023), "In-memory computing integrated structure circuit based on nonvolatile flash memory unit", Electronics, 12(14), 3155. https://doi.org/10.3390/electronics12143155.
  47. Xu, Y., Wang, E., Yang, Y. and Chang, Y. (2022), "A unified collaborative representation learning for neural-network based recommender systems", IEEE T. Knowledge Data Eng., 34(11), 5126-5139. https://doi.org/10.1109/TKDE.2021.3054782.
  48. Yan, T., Xu, R., Sun, S.H., Hou, Z.K. and Feng, J.Y. (2023), "A real-time intelligent lithology identification method based on a dynamic felling strategy weighted random forest algorithm", Petroleum Sci., https://doi.org/10.1016/j.petsci.2023.09.011.
  49. Yang, L., Wang, H., Xu, H., Guo, D. and Li, M. (2023, "Experimental study on characteristics of water imbibition and ion diffusion in shale reservoirs", Geoenergy Sci. Eng., 229, 212167. https://doi.org/10.1016/j.geoen.2023.212167.
  50. Yang, L., Yang, D., Zhang, M., Meng, S., Wang, S., Su, Y.,... Xu Long. (2024). Application of nano-scratch technology to identify continental shale mineral composition and distribution length of bedding interfacial transition zone - A case study of Cretaceous Qingshankou formation in Gulong Depression, Songliao Basin, NE China. Geoenergy Science and Engineering, 234, 212674. doi: https://doi.org/10.1016/j.geoen.2024.212674
  51. Yao, W., Yu, J., Liu, X., Zhang, Z., Feng, X. and Cai, Y. (2023), "Experimental and theoretical investigation of coupled damage of rock under combined disturbance", Int. J. Rock Mech. Min. Sci., 164, 105355. https://doi.org/10.1016/j.ijrmms.2023.105355
  52. Yin, H., Wu, Q., Yin, S., Dong, S., Dai, Z. and Soltanian, M.R. (2023), "Predicting mine water inrush accidents based on water level anomalies of borehole groups using long short-term memory and isolation forest", J. Hydrology, 616, 128813. https://doi.org/10.1016/j.jhydrol.2022.128813.
  53. Yin, L., Wang, L., Li, J., Lu, S., Tian, J., Yin, Z. and Zheng, W. (2023), "YOLOV4_CSPBi: Enhanced land target detection model", Land, 12(9), 1813. https://doi.org/10.3390/land12091813.
  54. Yu, J., Zhu, Y., Yao, W., Liu, X., Ren, C., Cai, Y. and Tang, X. (2021), "Stress relaxation behaviour of marble under cyclic weak disturbance and confining pressures", Measurement, 182, 109777. https://doi.org/10.1016/j.measurement.2021.109777.
  55. Zhang, J. and Zhang, C. (2023), "Using viscoelastic materials to mitigate earthquake-induced pounding between adjacent frames with unequal height considering soil-structure interactions", Soil Dyn. Earthq. Eng., 172, 107988. https://doi.org/10.1016/j.soildyn.2023.107988.
  56. Zhang, X., Wang, S., Liu, H., Cui, J., Liu, C. and Meng, X. (2024), "Assessing the impact of inertial load on the buckling behavior of piles with large slenderness ratios in liquefiable deposits", Soil Dyn. Earthq. Eng., 176, 108322. https://doi.org/10.1016/j.soildyn.2023.108322.
  57. Zhou, G., Su, S., Xu, J., Tian, Z. and Cao, Q. (2023), "Bathymetry retrieval from spaceborne multispectral subsurface reflectance", IEEE J. Selec.Topics Appl. Earth Observ. Remote Sens., 16, 2547-2558. https://doi.org/10.1109/JSTARS.2023.3249789.