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On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2024-06-27

Cited: 0

Clicked: 907

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Yuansheng YU

https://orcid.org/0009-0000-9777-2311

Zhen GUO

https://orcid.org/0000-0002-1869-8625

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Journal of Zhejiang University SCIENCE A 2024 Vol.25 No.6 P.483-501

http://doi.org/10.1631/jzus.A2300180


Deformation and stability of the seawall, considering the strength uncertainty of cement mixing piles


Author(s):  Yuansheng YU, Lingling LI, Xiangmiao KONG, Chengyuan LI, Zhen GUO

Affiliation(s):  Key Laboratory of Offshore Geotechnics and Material of Zhejiang Province, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   nehzoug@163.com

Key Words:  Construction uncertainty, Cement mixing (CM) pile, Strength of cement soil, Seawall stability, Random finite element method (RFEM), Monte Carlo simulation (MCS)


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.

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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.

考虑水泥搅拌桩桩强不确定性的海堤变形与稳定性分析

作者:俞元盛1,李玲玲1,孔祥苗3,李成元4,国振1,2
机构:1浙江大学,建筑工程学院,浙江省海洋岩土工程与材料重点实验室,中国杭州,310027;2浙江大学,海南研究院,中国三亚,572000;3宁海县公路与运输管理中心,中国宁波,315600;4宁海交通工程建设管理所,中国宁波,315600
目的:水泥搅拌桩桩强往往因受到原位土体含水率和水泥掺量等因素影响而存在不确定性。本文旨在基于试验所得桩强分布,通过随机有限元数值模拟研究探讨不同形式的桩强不确定性对海堤变形和稳定性的影响,并研究依据确定性参数进行计算和设计对结构的影响。
创新点:1.基于十字板剪切试验,通过蒙特-卡罗抽样和插值确定水泥搅拌桩桩强分布;2.建立考虑桩强不确定性的随机有限元模型;3.对比不同形式的桩强不确定性对海堤变形和稳定性的影响。
方法:1.通过室内试验,得到不同含水率和水泥掺量下的水泥土短期强度;2.通过蒙特-卡罗抽样和双线性插值,获得水泥土强度分布参数;3.建立有限元数值模型,通过USDFLD子程序赋予随机桩强,并通过大量算例分析桩强不确定性对海堤变形和稳定性的影响。
结论:1.水泥土不排水抗剪强度受水泥掺量和原状土含水率影响;假设其为服从正态分布的随机变量,则固化土体不排水抗剪强度服从正态分布。2.水泥搅拌桩强度的提升能够显著抑制淤泥土和水泥搅拌桩桩身的塑性应变发展,进而使海堤稳定性得到明显提升。3.当水泥搅拌桩强度均值低于一定阈值时,海堤存在整体失稳风险;单根水泥搅拌桩内部的强度空间变异性对海堤稳定性具有更显著的影响。4.当桩强客观存在不确定性时,依据确定性参数进行计算和设计将使得结构偏于不安全,因此须留有更多的安全系数裕度。

关键词:施工不确定性;水泥搅拌桩;水泥土强度;海堤稳定性;随机有限元;蒙特-卡罗模拟

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[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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