Comparison between Mohr-Coulomb failure criterion and Vipulanandan failure models to predict the maximum J_2 Invariant and behaviour of clay (CH)

References

• Mawlood, Y., et al., 2021a. Comparison of artificial neural network (ANN) and linear regression modeling with residual errors to predict the unconfined compressive strength and compression index for Erbil City soils, Kurdistan-Iraq. Arabian Journal of Geosciences, 14 (6), 1–14. doi:10.1007/s12517-021-06712-4.
   Web of Science ®Google Scholar
• Vipulanandan, C., Vembu, K., and Gattu, V.K., 2018a. Highway bridge supported on ACIP piles in clay soils: instrumentation, monitoring and performance of service piles. In: Innovations in geotechnical engineering. 50–67. doi:10.1061/9780784481639.002.
   Google Scholar
• Zeng, J., et al., 2021a. Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance. Engineering with Computers, 1–17. doi:10.1007/s00366-020-01225-2.
   Web of Science ®Google Scholar
• Das, B.M., 2015. Principles of foundation engineering. Cengage learning.
   Google Scholar
• Brady, N.C., Weil, R.R., and Weil, R.R., 2008. The nature and properties of soils. Vol. 13. Upper Saddle River, NJ: Prentice Hall, 662–710.
   Google Scholar
• Westerberg, B., Müller, R., and Larsson, S., 2015. Evaluation of undrained shear strength of Swedish fine-grained sulphide soils. Engineering Geology, 188, 77–87. doi:10.1016/j.enggeo.2015.01.007
   Web of Science ®Google Scholar
• Mohammed, A., 2017a. Property correlations and statistical variations in the geotechnical properties of (CH) clay soils. Geotechnical and Geological Engineering, 1–16. doi:10.1007/s10706-017-0325-6.
   Web of Science ®Google Scholar
• Mohammed, A.S., 2014. Characterization and modeling of polymer-treated and nano particle modified sulfate contaminated soils, drilling muds, and hydraulic fracturing fluids under groundwater. Doctoral dissertation. Houston, Texas: Department of Civil and Environmental Engineering, University of Houston.
   Google Scholar
• Arulrajah, A. and Bo, M.W., 2008. Characteristics of Singapore marine clay at Changi. Geotechnical and Geological Engineering, 26 (4), 431. doi:10.1007/s10706-008-9179-2.
   Google Scholar
• Mohammed, A.S., 2017b. Effect of temperature on the rheological properties with shear stress limit of iron oxide nanoparticle modified bentonite drilling muds. Egyptian Journal of Petroleum, 26 (3), 791–802. doi:10.1016/j.ejpe.2016.10.018.
   Google Scholar
• Yılmaz, I., 2000. Evaluation of shear strength of clayey soils by using their liquidity index. Bulletin of Engineering Geology and the Environment, 59 (3), 227–229. doi:10.1007/s100640000056.
   Google Scholar
• Tiwari, B. and Ajmera, B., 2011. A new correlation relating the shear strength of reconstituted soil to the proportions of clay minerals and plasticity characteristics. Applied Clay Science, 53 (1), 48–57. doi:10.1016/j.clay.2011.04.021.
   Web of Science ®Google Scholar
• Turkoz, M. and Vural, P., 2013. The effects of cement and natural zeolite additives on problematic clay soils. Science and Engineering of Composite Materials, 20 (4), 395–405. doi:10.1515/secm-2012-0104.
   Web of Science ®Google Scholar
• Yao, Y., Ni, J., and Li, J., 2021. Stress-dependent water retention of granite residual soil and its implications for ground settlement. Computers and Geotechnics, 129, 103835. doi:10.1016/j.compgeo.2020.103835
   Web of Science ®Google Scholar
• Zhang, J., et al., 2021. Numerical simulation of the moisture migration of unsaturated clay embankments in southern China considering stress state. Bulletin of Engineering Geology and the Environment, 80 (1), 11–24. doi:10.1007/s10064-020-01916-6.
   Web of Science ®Google Scholar
• Zhang, J., et al., 2020. Prediction of permanent deformation for subgrade soils under traffic loading in southern China. International Journal of Pavement Engineering, 1–10. doi:10.1080/10298436.2020.1765244.
   Web of Science ®Google Scholar
• Anantanasakul, P., Yamamuro, J.A., and Lade, P.V., 2012. Three-dimensional drained behavior of normally consolidated anisotropic kaolin clay. Soils and Foundations, 52 (1), 146–159. doi:10.1016/j.sandf.2012.01.014.
   Web of Science ®Google Scholar
• Zhao, X.D., Zhou, G.Q., and Tian, Q.H., 2009. Study on the shear strength of deep reconstituted soils. Mining Science and Technology (China), 19 (3), 405–408. doi:10.1016/S1674-5264(09)60076-4.
   Google Scholar
• Shen, Z.J., 1995. Summary on the failure criteria and yield functions. Chinese Journal of Geotechnical Engineering, 17, 1–8.
   Google Scholar
• Yu, M.H., et al., 2002. A unified strength criterion for rock material. International Journal of Rock Mechanics and Mining Sciences, 39 (8), 975–989. doi:10.1016/S1365-1609(02)00097-7.
   Web of Science ®Google Scholar
• Salih, A., et al., 2021. Various simulation techniques to predict the compressive strength of cement-based mortar modified with micro-sand at different water-to-cement ratios and curing ages. Arabian Journal of Geosciences, 14 (5), 1–14. doi:10.1007/s12517-021-06779-z.
   Web of Science ®Google Scholar
• Mohammed, A. and Mahmood, W., 2018a. Vipulanandan failure models to predict the tensile strength, compressive modulus, fracture toughness and ultimate shear strength of calcium rocks. International Journal of Geotechnical Engineering. doi:10.1080/19386362.2018.1468663.
   Google Scholar
• Mohammed, A. and Mahmood, W., 2018b. Statistical variations and new correlation models to predict the mechanical behavior and ultimate shear strength of gypsum rock. Open Engineering, 8 (1), 213–226. doi:10.1515/eng-2018-0026.
   Web of Science ®Google Scholar
• Ye, W., et al., 2010. Shear strength of an unsaturated weakly expansive soil. Journal of Rock Mechanics and Geotechnical Engineering, 2 (2), 155–161. doi:10.3724/SP.J.1235.2010.00155.
   Google Scholar
• Fredlund, D.G., Rahardjo, H., and Gan, J.K.M., 1987. Non-linearity of strength envelope for unsaturated soils. In: Proceedings of the 6th international conference on expansive soils, December New Delhi, India, Vol.1, 49–54.
   Google Scholar
• Hoek, E. and Brown, E.T., 1997. Practical estimates of rock mass strength. International Journal of Rock Mechanics and Mining Sciences, 34 (8), 1165–1186. doi:10.1016/S1365-1609(97)80069-X.
   Web of Science ®Google Scholar
• Liu, M.D. and Carter, J.P., 2003. General strength criterion for geomaterials. International Journal of Geomechanics, 3 (2), 253–259. doi:10.1061/(ASCE)1532-3641(2003)3:2(253).
   Google Scholar
• Zeng, J., et al., 2021b. The effectiveness of ensemble-neural network techniques to predict peak uplift resistance of buried pipes in reinforced sand. Applied Sciences, 11 (3), 908. doi:10.3390/app11030908.
   Google Scholar
• Vipulanandan, C. and Mohammed, A., 2016. XRD and TGA, swelling and compacted properties of polymer treated sulfate contaminated CL soil. Journal of Testing and Evaluation, 44 (6), 2270–2284. doi:10.1520/JTE20140280.
   Web of Science ®Google Scholar
• Qadir, W., Ghafor, K., and Mohammed, A., 2019. Characterizing and modeling the mechanical properties of the cement mortar modified with fly ash for various water-to-cement ratios and curing times. Advances in Civil Engineering, 2019, 1–11. Article ID 7013908. doi:10.1155/2019/7013908.
   Web of Science ®Google Scholar
• Vipulanandan, C. and Mohammed, A.S., 2021. 3-dimension stresses and new failure model to predict behavior of clay soils in various liquid limit ranges. Arabian Journal of Geosciences, 14 (3), 1–13. doi:10.1007/s12517-021-06553-1.
   Web of Science ®Google Scholar
• Vipulanandan, C., Mohammed, A., and Samuel, R.G., 2018b. Fluid loss control in smart bentonite drilling mud modified with Nanoclay and quantified with vipulanandan fluid loss model. In: Offshore Technology Conference (OTC) 2018, OTC-28974-MS, Texas, Houston.
   Google Scholar
• Mohammed, A. and Vipulanandan, C., 2015. Testing and modeling the short-term behavior of lime and fly ash treated sulfate contaminated CL soil. Geotechnical and Geological Engineering, 33 (4), 1099–1114. doi:10.1007/s10706-015-9890-8.
   Web of Science ®Google Scholar
• Mohammed, A.S. and Vipulanandan, C., 2014. Compressive and tensile behavior of polymer treated sulfate contaminated CL soil. Geotechnical and Geological Engineering, 32 (1), 71–83. doi:10.1007/s10706-013-9692-9.
   Google Scholar
• Mohammed, A.S., 2018a. Vipulanandan model for the rheological properties with ultimate shear stress of oil well cement modified with nanoclay. Egyptian Journal of Petroleum, 27 (3), 335–347. doi:10.1016/j.ejpe.2017.05.007.
   Google Scholar
• Mahmood, W. and Mohammed, A., 2020. New Vipulanandan pq model for particle size distribution and groutability limits for sandy soils. Journal of Testing and Evaluation, 48 (5), 20180606. doi:10.1520/JTE20180606.
   Web of Science ®Google Scholar
• Mohammed, A.S., 2019. Vipulanandan models to predict the mechanical properties, fracture toughness, pulse velocity and ultimate shear strength of shale rocks. Geotechnical and Geological Engineering, 37 (2), 625–638. doi:10.1007/s10706-018-0633-5.
   Web of Science ®Google Scholar
• Ganji, P.K., 2006. Statistical correlations of geotechnical properties, undrained shear strength, Texas Cone Penetrometer (TCP) blow count values with depth of Houston clayey soil. Masters Thesis. Houston, Texas: Department of Civil and Environmental Engineering, University of Houston.
   Google Scholar
• Kim, M., 2007. Testing and modeling of large cone penetrometer in clay soils. Doctoral dissertation. Houston, Texas: Department of Civil and Environmental Engineering, University of Houston.
   Google Scholar
• Joseph, D., 2010. Testing and modeling of proppant particles, pavements and retaining walls. Diss. University of Houston.
   Google Scholar
• Emad, W., Salih, A., and Kurda, R., 2021. Experimental study using ASTM and BS standards and model evaluations to predict the compressive strength of the cement grouted sands modified with polymer. Case Studies in Construction Materials, 15, e00600. doi:10.1016/j.cscm.2021.e00600
   Google Scholar
• Ding, W., et al., 2021. A new development of ANFIS-based henry gas solubility optimization technique for prediction of soil shear strength. Transportation Geotechnics, 29, 100579. doi:10.1016/j.trgeo.2021.100579
   Web of Science ®Google Scholar
• Mohammed, A.S., 2018b. Vipulanandan models to predict the electrical resistivity, rheological properties and compressive stress-strain behavior of oil well cement modified with silica nanoparticles. Egyptian Journal of Petroleum, 27 (4), 1265–1273. doi:10.1016/j.ejpe.2018.07.001.
   Google Scholar
• Chang, C. and Haimson, B., 2012. A failure criterion for rocks based on true triaxial testing. In: The ISRM suggested methods for rock characterization, testing and monitoring: 2007-2014. Cham: Springer, 259–262. doi:10.1007/978-3-319-07713-0_24.
   Google Scholar
• Puppala, A.J., Mohammad, L.N., and Allen, A., 1996. Engineering behavior of lime-treated Louisiana subgrade soil. Transportation Research Record, 1546 (1), 24–31. doi:10.1177/0361198196154600103.
   Google Scholar
• Sharma, R.P. and Verma, N.C., 1997. Tensile strength of compacted clay by disc bending test. In: Proceedings of The International Conference on Soil Mechanics and Foundation Engineering-International Society For Soil Mechanics and Foundation Engineering, Vol. 1, Chicago, 197–200.
   Google Scholar
• Gregory, G.H. and Baryun, A., 2010. Correlation of fully-softened shear strength of clay soil with index properties phase I (No. FHWA-OK-10-04). Oklahoma: Department of Transportation. Planning and Research Division.
   Google Scholar
• Lytton, R., Aubeny, C., and Bulut, R., 2005. Design procedure for pavements on expansive soils. Texas: Texas Transportation Institute, Texas A and M University System.
   Google Scholar
• Degirmenci, N., Okucu, A., and Turabi A., 2017. Application of phosphogypsum in soil stabilization. Building and Environment, 42 (9), 3393–3398. doi:10.1016/j.buildenv.2006.08.010.
   Google Scholar
• Wang, J.J., et al., 2007. Experimental study on fracture toughness and tensile strength of a clay. Engineering Geology, 94 (1–2), 65–75. doi:10.1016/j.enggeo.2007.06.005.
   Web of Science ®Google Scholar
• Sivaruban, N., 2008. Construction and maintenance issues related to transportation infrastructure. Master’s Thesis. Houston, Texas: Department of Civil and Environmental Engineering, University of Houston.
   Google Scholar
• Cerato, A.B., 2001. Influence of specific surface area on geotechnical characteristics of fine-grained soils. Unpublished MSc Thesis. Amherst, Massachusetts: Department of Civil and Environmental Engineering, University of Massachusetts.
   Google Scholar
• Vipulanandan, C. and Krishnan, S., 1999. Solidification/stabilization of phenolic waste with cementitious and polymeric materials. Journal of Hazardous Materials, 24 (2–3), 123–136. doi:10.1016/0304-3894(90)87004-2.
   Google Scholar
• Bilgin, Ö. and Mansour, E., 2013. Variability of soil properties and reliability of empirical equations on soil settlement predictions. In: Foundation Engineering in the Face of Uncertainty: Honoring Fred H. Kulhawy, Proceeding, 298–307).
   Google Scholar
• Tang, C.S., et al., 2015. Tensile strength of compacted clayey soil. Journal of Geotechnical and Geoenvironmental Engineering, 141 (4), 04014122. doi:10.1061/(ASCE)GT.1943-5606.0001267.
   Web of Science ®Google Scholar
• Mawlood, Y.I. and Hummadi, R.A., 2020. Swelling pressures and size effect correlations of expansive soils. Journal of the Chinese Institute of Engineers, 43 (7), 657–665. doi:10.1080/02533839.2020.1777202.
   Web of Science ®Google Scholar
• Ahmed, C., Mohammed, A., and Tahir, A., 2020a. Geostatistics of strength, modeling and GIS mapping of soil properties for residential purpose for Sulaimani City soils, Kurdistan Region, Iraq. Modeling Earth Systems and Environment, 1–15. doi:10.1007/s40808-020-00715-y.
   Web of Science ®Google Scholar
• Ahmed, C., Mohammed, A., and Saboonchi, A., 2020b. ArcGIS mapping, characterisations and modelling the physical and mechanical properties of the Sulaimani City soils, Kurdistan Region, Iraq. Geomechanics and Geoengineering, 1–14. doi:10.1080/17486025.2020.1755464.
   Google Scholar
• Mawlood, Y., et al., 2021b. Modeling and statistical evaluations of unconfined compressive strength and compression index of the clay soils at various ranges of liquid limit. Journal of Testing and Evaluation, 50 (1).
   Web of Science ®Google Scholar