基于贝叶斯–粒子群优化算法的污染场地隔离墙阻隔效果CPTU原位评价方法

doi:10.13722/j.cnki.jrme.2022.0396

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (1206 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Hydraulic impermeability and homogeneity should be ensured before the newly built cutoff walls put into operation. The difficulties of the rapid evaluation of the cutoff walls lie in the high-quality sampling and time-consuming laboratory testing. In this study，piezocone penetration test(CPTU) is used to evaluate the barrier performance of a newly built cutoff wall. Based on the correlation analysis between excess pore water pressure and horizontal permeability coefficient，the random field theory is used for modeling，and the model parameters are defined to quantitatively describe the impermeability defects. Bayesian approach combined with particle swarm optimization is used to solve the model parameters，which realizes the rapid identification of impermeable defect layers and quantitative characterization. Comparing with the stratification results of traditional Robertson soil behavior type(SBT) method，the inapplicability of SBT method in evaluating the goodness of cutoff wall is pointed out. Finally，combined with the CPTU pore pressure dissipation test results，the continuous horizontal permeability coefficient profile of the cutoff wall is evaluated. Results show that the proposed CPTU in-situ evaluating method based on the excess pore water pressure can identify the impermeable defect layers and quantitively reflect its causes. The analysis results can be used as guiding information for making remediation plans.

Key words： soil mechanics cutoff wall piezocone penetration test excess pore water pressure Bayesian approach

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WU Meng1
	ZHAO Zening1
	WANG Caijin1
	CAI Guojun1
	2

Cite this article:

WU Meng1,ZHAO Zening1,WANG Caijin1, et al. In-situ evaluation of barrier performance of cutoff wall based on Bayesian-Particle swarm optimization using piezocone penetration test [J]. , 2023, 42(2): 483-496.

URL:

https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2022.0396 OR https://rockmech.whrsm.ac.cn/EN/Y2023/V42/I2/483

[1] DU Y J，FAN R D，LIU S Y，et al. Workability，compressibility and hydraulic conductivity of zeolite-amended clayey soil/calcium-bentonite backfills for slurry-trench cutoff walls[J]. Engineering Geology，2015，195：258–268. [2] TAKAI A，INUI T，KATSUMI T. Evaluating the hydraulic barrier performance of soil-bentonite cutoff walls using the piezocone penetration test[J]. Soils and Foundations，2016，56(2)：277–290. [3] KATSUMI T，KAMON M，INUI T，et al. Hydraulic barrier performance of SBM cut-off wall constructed by the trench cutting and re-mixing deep wall method[C]// Proceeding of GeoCongress. [S. l.]：Geotechnics of Waste Management and Remediation，2008：628–635. [4] MALUSIS，MICHAEL A，BARLOW，et al. Comparison of laboratory and field measurements of backfill hydraulic conductivity for a large-scale soil-bentonite cutoff wall[J]. Journal of Geotechnical and Geoenvironmental Engineering，2020，146(8)：04020070. [5] WU M，CAI G J，LIU L L，et al. Quantitative identification of cutoff wall construction defects using Bayesian approach based on excess pore water pressure[J]. Acta Geotechnica，2021，17(6)：2 553–2 571. [6] BENNERT T A，MAHER A，JAFARI F. Piezocone evaluation of a shallow soil-bentonite slurry wall[C]// GeoFrontiers 2005：Waste Containment and Remediation. Austin，Texas，United States：[s. n.]，2005：1–14. [7] LI Y C，TONG X，CHEN Y，et al. Non-monotonic piezocone dissipation curves of backfills in a soil-bentonite slurry trench cutoff wall[J]. Journal of Zhejiang University-Science A：Applied Physics and Engineering，2018，19(4)：277–288. [8] MANASSERO M. Hydraulic conductivity assessment of slurry wall using piezocone test[J]. Journal of Geotechnical Engineering，1994，120(10)：1 725–1 746. [9] ELSWORTH D，LEE D S. Permeability determination from on-the-fly piezocone sounding[J]. Journal of Geotechnical and Geoenvironmental Engineering，2005，131(5)：643–653. [10] CHAI J C，AGUNG P，HINO T，et al. Estimating hydraulic conductivity from piezocone soundings[J]. Géotechnique，2011，61(8)：699–708. [11] MONFORTE L，ARROYO M，GENS A，et al. Hydraulic conductivity from CPTU on-the-fly：a numerical evaluation[J]. Géotechnique Letters，2018，8(4)：1–28. [12] CHAI J C，CHANMEE N. A modified method for estimating permeability of clayey soils based on piezocone sounding results[J]. Canadian Geotechnical Journal，2018，55(9)：1 268–1 281. [13] GILBERT R B，TANG W H. Model uncertainty in offshore geotechnical reliability[C]// Proceedings of the 27th Offshore Technology Conference. Houston：[s. n.]，1995：557. [14] ZHAO Z N，CONGRESS S S C，CAI G J，et al. Bayesian probabilistic characterization of consolidation behavior of clays using CPTU data[J]. Acta Geotechnica，2022，17(3)：931–948. [15] ZHANG L，TANG W H，ZHANG L，et al. Reducing Uncertainty of Prediction from Empirical Correlations[J]. Journal of Geotechnical and Geoenvironmental Engineering，2004，130(5)：526–534. [16] ZHANG J，ZHANG L M，TANG W H. Bayesian framework for characterizing geotechnical model uncertainty[J]. Journal of Geotechnical and Geoenvironmental Engineering，2009，135(7)：932–940. [17] ZOU H，LIU S，CAI G，et al. Probabilistic identification of contaminated soils using resistivity piezocone penetration tests[J]. Acta Geotechnica，2020，15(5)：1–19. [18] NAJJAR S S. The importance of lower-bound capacities in geotechnical reliability assessments[Ph. D Thesis][D]. Texas：The University of Texas at Austin，2005. [19] CHING J，PHOON K K，CHEN Y C. Reducing shear strength uncertainties in clays by multivariate correlations[J]. Canadian Geotechnical Journal，2010，47(1)：16–33. [20] CAO Z，YU W. Bayesian Approach for probabilistic site characterization using cone penetration tests[J]. Journal of Geotechnical and Geoenvironmental Engineering，2013，139(2)：267–276. [21] ROBERTSON P K. Soil classification using the cone penetration test[J]. Canadian Geotechnical Journal，1990，27(1)：151–158. [22] ZHANG J，YANG S，ZHANG L L，et al. Bayesian estimation of soil-water characteristic curves[J]. Canadian Geotechnical Journal，2022，59(4)：569–582. [23] FANG Y，SU Y. On the use of the global sensitivity analysis in the reliability-based design：Insights from a tunnel support case[J]. Computers and Geotechnics，2020，117：103280. [24] HU J Z，ZHANG J，HUANG H W，et al. Value of information analysis of site investigation program for slope design[J]. Computers and Geotechnics，2021，131：103938. [25] LIN P，LIU J. Evaluation and calibration of ultimate bond strength models for soil nails using maximum likelihood method[J]. Acta Geotechnica，2020，15(7)：1 993–2 015. [26] 田密，李典庆，曹子君，等. 基于贝叶斯理论的土性参数空间变异性量化方法[J]. 岩土力学，2017，38(11)：3 355–3 362 (TIAN Mi，LI Dianqing，CAO Zijun，et al. Quantification of spatial variability of soil parameters using Bayesian approaches[J]. Rock and Soil Mechanics，2017，38(11)：3 355–3 362.(in Chinese)) [27] American Society for Testing and Materials(ASTM). D2487 Standard practice for classification of soils for engineering purposes(Unified Soil Classification System)[S]. West Conshohocken：ASTM，2006. [28] American Society for Testing and Materials(ASTM). D4972 Standard test method for pH of soils[S]. West Conshohocken：ASTM，2018. [29] American Society for Testing and Materials(ASTM). D2216 Standard test methods for laboratory determination of water (moisture) content of soil and rock by mass [S]. West Conshohocken：ASTM，2010. [30] American Society for Testing and Materials (ASTM). D4813 Standard test methods for specific gravity of soil solids by water pycnometer[S]. West Conshohocken：ASTM，2014. [31] American Society for Testing and Materials (ASTM). D4318 Standard test methods for liquid limit，plastic limit，and plasticity index of soils[S]. West Conshohocken：ASTM，2010. [32] CERATO A B，LUTENEGGER A J. Determination of surface area of fine-grained soils by the ethylene glycol monoethyl ether(EGME) method[J]. Geotechnical Testing Journal，2002，25(3)：315–321. [33] American Society for Testing and Materials(ASTM). D7503 Standard test method for measuring the exchange complex and cation exchange capacity of inorganic fine-grained soils[S]. West Conshohocken：ASTM，2010. [34] SHAND M A. The chemistry and technology of magnesia[M]. New Jersey：John Wiley & Sons，2006：39–96. [35] 傅贤雷，杜延军，沈胜强，等. PAC改性膨润土/砂竖向阻隔屏障回填料化学渗透膜效应及扩散特性研究[J]. 岩石力学与工程学报，2020，39(增2)：3 669–3 675.(FU Xianlei，DU Yanjun，SHEN Shengqiang，et al. Chemico-osmotic membrane behavior and diffusive properties of PAC amended bentonite/sand vertical cutoff wall backfills[J]. Chinese Journal of Rock Mechanics and Engineering，2020，39(Supp.2)：3 669–3 675.(in Chinese)) [36] 范日东，杜延军，刘松玉. 基于改进滤失试验的重金属污染膨润土渗透特性试验研究[J]. 岩土力学，2019，40(8)：2 989–2 996.(FAN Ridong，DU Yanjun，LIU Songyu. Modified fluid loss test to measure hydraulic conductivity of heavy metal-contaminated bentonite[J]. Rock and Soil Mechanics，2019，40(8)：2 989–2 996.(in Chinese)) [37] American Society for Testing and Materials(ASTM). ASTM D5778 Standard test method for electronic friction cone and piezocone penetration testing of soils[S]. West Conshohocken：ASTM，2000. [38] TEDD P，BUTCHER A P，POWELL J. Assessment of the piezocone to measure the in-situ properties of cement-bentonite slurry trench cut-off walls[M]. London：Pergamon Press，1997：48–55. [39] FENTON G A. Random field modeling of CPT data[J]. Journal of Geotechnical and Geoenvironmental Engineering，1999，126(12)：486–498. [40] DIMITROVA D S，KAISHEV V K，TAN S. Computing the Kolmogorov-Smirnov distribution when the underlying CDF is purely discrete，mixed，or continuous[J]. Journal of Statistical Software，2020，95(10)：1–42. [41] WANG Y，HUANG K，CAO Z. Bayesian identification of soil strata in London clay[J]. Géotechnique，2014，64(3)：239–246. [42] CAO Z J，ZHENG S，LI D，et al. Bayesian identification of soil stratigraphy based on soil behaviour type index[J]. Canadian Geotechnical Journal，2019，56(4)：570–586. [43] KENNEDY J，EBERHART R. Particle swarm optimization[C]// ICNN95-international Conference on Neural Networks. Perth，WA，Australia：IEEE，1995：1 942–1 948. [44] SHI Y，EBERHART R. A modified particle swarm optimizers[C]// Proceedings of the IEEE International Conference on Evolutionary Computation. Anchorage，AK，USA：IEEE，1998：69–73. [45] ZHAO Z，DUAN W，CAI G. A novel PSO-KELM based soil liquefaction potential evaluation system using CPT and Vs measurements[J]. Soil Dynamics and Earthquake Engineering，2021，150：106930. [46] ENGELBRECHT A P. Computational Intelligence：An Introduction，Second Edition[M]. Chichester，England：IEEE，2007：285–358. [47] ROBERTSON P，WRIDE C. Evaluating cyclic liquefaction potential using the cone penetration test[J]. Canadian Geotechnical Journal，1998，35(3)：442–459. [48] KERAMATIKERMAN M，CHEGENIZADEH A，NIKRAZ H. An investigation into effect of sawdust treatment on permeability and compressibility of soil-bentonite slurry cut-off wall[J]. Journal of Cleaner Production，2017，162(20)：1–6. [49] 沈胜强，杜延军，魏明俐，等. CaCl2作用下PAC改良膨润土滤饼的渗透特性研究[J]. 岩石力学与工程学报，2017，36(11)：2 810–2 817.(SHEN Shengqiang，DU Yanjun，WEI Mingli，et al. Hydraulic conductivity of filter cakes of polyanionic cellulose-amended bentonite slurries in calcium chloride solutions[J]. Rock and Soil Mechanics，2017，36(11)：2 810–2 817.(in Chinese)) [50] THE C，HOULSBY G. An analytical study of the cone penetration test in clay[J]. Geotechnique，1991，41(1)：17–34. [51] DAGGER R，SAFTNER D，MAYNE P. Cone penetration test design guide for state geotechnical engineers[R]. Minnesota：Minnesota Department of Transportation，2018. [52] BELL R，SISLEY J. Quality control of slurry cutoff wall installations[M]. [S. l.]：ASTM International，1992：26–41. [53] JOSHI K，KECHAVARZI C，SUTHERLAND K，et al. Laboratory and in situ tests for long-term hydraulic conductivity of a cement-bentonite cutoff wall[J]. Journal of Geotechnical and Geoenvironmental Engineering，2010，136(4)：562–572.