CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2024-06-27
Cited: 0
Clicked: 906
Citations: Bibtex RefMan EndNote GB/T7714
Yuansheng YU, Lingling LI, Xiangmiao KONG, Chengyuan LI, Zhen GUO. Deformation and stability of the seawall, considering the strength uncertainty of cement mixing piles[J]. Journal of Zhejiang University Science A, 2024, 25(6): 483-501.
@article{title="Deformation and stability of the seawall, considering the strength uncertainty of cement mixing piles",
author="Yuansheng YU, Lingling LI, Xiangmiao KONG, Chengyuan LI, Zhen GUO",
journal="Journal of Zhejiang University Science A",
volume="25",
number="6",
pages="483-501",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2300180"
}
%0 Journal Article
%T Deformation and stability of the seawall, considering the strength uncertainty of cement mixing piles
%A Yuansheng YU
%A Lingling LI
%A Xiangmiao KONG
%A Chengyuan LI
%A Zhen GUO
%J Journal of Zhejiang University SCIENCE A
%V 25
%N 6
%P 483-501
%@ 1673-565X
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2300180
TY - JOUR
T1 - Deformation and stability of the seawall, considering the strength uncertainty of cement mixing piles
A1 - Yuansheng YU
A1 - Lingling LI
A1 - Xiangmiao KONG
A1 - Chengyuan LI
A1 - Zhen GUO
J0 - Journal of Zhejiang University Science A
VL - 25
IS - 6
SP - 483
EP - 501
%@ 1673-565X
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2300180
Abstract: The cement mixing (CM) pile is a common method of improving soft offshore ground. The strength growth of CM piles under complex conditions is affected by many factors, especially the cement and moisture contents, and shows significant uncertainty. To investigate the stochasticity of the early strength of CM piles and its impact on the displacement and stability of a seawall, a series of laboratory tests and numerical analyses were carried out in this study. Vane shear tests were conducted on the cement-solidified soil to determine the relationships between the undrained shear strength su of the cement soil curing in the seawater and the cement content ac, as well as the in situ soil moisture content w. It can be inferred that the 24 h undrained shear strength follows a normal distribution. A numerical model considering the random CM pile strength was established to investigate the deformation of the seawall. Due to the uncertainty of CM pile strength, the displacement of the seawall demonstrates a certain discreteness. The decrease of the mean undrained shear strength of CM piles causes a corresponding increase in the average displacement of the seawall. When the mean strength of CM piles is lower than a certain threshold, there is a risk of instability. Furthermore, the heterogeneity of the strength within an individual CM pile also has an impact on seawall displacement. Attention should be paid to the uncertainty of CM pile strength to control displacement and stability.
[1]ABAQUSInc., 2016. ABAQUS User Subroutines Reference Guide. Dassault Systèmes, Paris, France.
[2]ASTM (American Society for Testing and Materials), 2014. Standard Test Methods for Specific Gravity of Soil Solids by Water Pycnometer, ASTM D854-14. ASTM, West Conshohocken, USA.
[3]ASTM (American Society for Testing and Materials), 2016. Standard Test Methods for Laboratory Miniature Vane Shear Test for Saturated Fine-Grained Clayey Soil, ASTM D4648M-16. ASTM, West Conshohocken, USA.
[4]ASTM (American Society for Testing and Materials), 2018. Standard Test Methods for Liquid Limit, Plastic Limit, and Plasticity Index of Soils, ASTM D4318-17. ASTM, West Conshohocken, USA.
[5]ASTM (American Society for Testing and Materials), 2019. Standard Test Methods for Laboratory Determination of Water (Moisture) Content of Soil and Rock by Mass, ASTM D2216-19. ASTM, West Conshohocken, USA.
[6]ASTM (American Society for Testing and Materials), 2021. Standard Test Methods for Laboratory Determination of Density and Unit Weight of Soil Specimens, ASTM D7263-21. ASTM, West Conshohocken, USA.
[7]CassidyMJ, UzielliM, TianYH, 2013. Probabilistic combined loading failure envelopes of a strip footing on spatially variable soil. Computers and Geotechnics, 49:191-205.
[8]ChaiJC, ShresthaS, HinoT, et al., 2015. 2D and 3D analyses of an embankment on clay improved by soil–cement columns. Computers and Geotechnics, 68:28-37.
[9]ChenJ, LeeFH, NgCC, 2011. Statistical analysis for strength variation of deep mixing columns in Singapore. In: Han J, Alzamora DA (Eds.), Geo-Frontiers 2011: Advances in Geotechnical Engineering. American Society of Civil Engineers, Reston, USA, p.576-584.
[10]der KiureghianA, DitlevsenO, 2009. Aleatory or epistemic? Does it matter? Structural Safety, 31(2):105-112.
[11]El-KadiAI, WilliamsSA, 2000. Generating two-dimensional fields of autocorrelated, normally distributed parameters by the matrix decomposition technique. Groundwater, 38(4):530-532.
[12]FentonGA, GriffithsDV, 2008. Risk Assessment in Geotechnical Engineering. John Wiley & Sons, Hoboken, USA.
[13]GarzónLX, CaicedoB, Sánchez-SilvaM, et al., 2015. Physical modelling of soil uncertainty. International Journal of Physical Modelling in Geotechnics, 15(1):19-34.
[14]GriffithsDV, FentonGA, 2009. Probabilistic settlement analysis by stochastic and random finite-element methods. Journal of Geotechnical and Geoenvironmental Engineering, 135(11):1629-1637.
[15]HorpibulskS, RachanR, SuddeepongA, et al., 2011. Strength development in cement admixed Bangkok clay: laboratory and field investigations. Soils and Foundations, 51(2):239-251.
[16]HuLH, TakahashiA, KasamaK, 2022. Effect of spatial variability on stability and failure mechanisms of 3D slope using random limit equilibrium method. Soils and Foundations, 62(6):101225.
[17]JamsawangP, VoottipruexP, BoathongP, et al., 2015. Three-dimensional numerical investigation on lateral movement and factor of safety of slopes stabilized with deep cement mixing column rows. Engineering Geology, 188:159-167.
[18]Jamshidi ChenariR, Pourvahedi RoshandehS, PayanM, 2019. Stochastic analysis of foundation immediate settlement on heterogeneous spatially random soil considering mechanical anisotropy. SN Applied Sciences, 1(7):660.
[19]JiangSH, HuangJS, 2016. Efficient slope reliability analysis at low-probability levels in spatially variable soils. Computers and Geotechnics, 75:18-27.
[20]JiangSH, LiDQ, CaoZJ, et al., 2015. Efficient system reliability analysis of slope stability in spatially variable soils using Monte Carlo simulation. Journal of Geotechnical and Geoenvironmental Engineering, 141(2):04014096.
[21]KamruzzamanAH, ChewSH, LeeFH, 2009. Structuration and destructuration behavior of cement-treated Singapore marine clay. Journal of Geotechnical and Geoenvironmental Engineering, 135(4):573-589.
[22]KirklandEJ, 2010. Bilinear interpolation. In: Kirkland EJ (Ed.), Advanced Computing in Electron Microscopy. 2nd Edition. Springer, New York, USA, p.261-263.
[23]KitazumeM, NakamuraT, TerashiM, et al., 2003. Laboratory tests on long-term strength of cement treated soil. In: Johnsen L, Bruce DA, Byle MJ, et al. (Eds.), Grouting and Ground Treatment. American Society of Civil Engineers, Reston, USA, p.586-597.
[24]LacasseS, NadimF, 1996. Uncertainties in characterising soil properties. In: Shackleford CD, Nelson PP, Roth MJS (Eds.), Uncertainty in the Geologic Environment: from Theory to Practice. American Society of Civil Engineers, New York, USA, p.49-75.
[25]LarssonS, 2005. State of practice report–execution, monitoring and quality control. Proceedings of the International Conference on Deep Mixing Best Practice and Recent Advances–Deep Mixing, p.732-785.
[26]LiDQ, ZhengD, CaoZJ, et al., 2016. Response surface methods for slope reliability analysis: review and comparison. Engineering Geology, 203:3-14.
[27]LiJH, ZhouY, ZhangLL, et al., 2016. Random finite element method for spudcan foundations in spatially variable soils. Engineering Geology, 205:146-155.
[28]LiL, LiJH, HuangJS, et al., 2017a. The bearing capacity of spudcan foundations under combined loading in spatially variable soils. Engineering Geology, 227:139-148.
[29]LiL, LiJH, HuangJS, et al., 2017b. Bearing capacity of spudcan foundations in a spatially varying clayey seabed. Ocean Engineering, 143:97-105.
[30]LiuY, LeeFH, QuekST, et al., 2015. Effect of spatial variation of strength and modulus on the lateral compression response of cement-admixed clay slab. Géotechnique, 65(10):851-865.
[31]LuWH, MiaoLC, 2015. A simplified 2-D evaluation method of the arching effect for geosynthetic-reinforced and pile-supported embankments. Computers and Geotechnics, 65:97-103.
[32]MetropolisN, UlamS, 1949. The Monte Carlo method. Journal of the American Statistical Association, 44:335-341.
[33]NakagawaS, KamegayaL, KurehaK, et al., 1996. Case history and behavioural analyses of braced large scale open excavation in very soft reclaimed land in coastal area. The International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground, p.179-184.
[34]NunezMA, BriançonL, DiasD, 2013. Analyses of a pile-supported embankment over soft clay: full-scale experiment, analytical and numerical approaches. Engineering Geology, 153:53-67.
[35]VanmarckeEH, 1977. Probabilistic modeling of soil profiles. Journal of the Geotechnical Engineering Division, 103(11):1227-1246.
[36]WuCL, LiJH, LiuJC, 2022. Experimental study of a shallow foundation on spatially variable soils. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 16(2):225-234.
[37]WuYX, ZhangHL, ShuS, 2022. Probabilistic bearing capacity of spudcan foundations under combined loading in spatially variable soils. Ocean Engineering, 248:110738.
[38]ZhuD, GriffithsDV, HuangJ, et al., 2017. Probabilistic stability analyses of undrained slopes with linearly increasing mean strength. Géotechnique, 67(8):733-746.
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