Drained expansion responses of a cylindrical cavity under biaxial in situ stresses: numerical investigation with implementation of anisotropic S-CLAY1 model

Wang, Hui; Li, Lin; Li, Jingpei; Sun, De'an

doi:10.1139/cgj-2022-0278

Cited by 22 publications

(15 citation statements)

References 58 publications

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“…In the single wind field simulation, the turbulence model is chosen to be the standard k-ε model, which can better show the rotational, separation, and return characteristics of the airflow in the study of the flow field characteristics around the sand fence, and the feasibility of this turbulence model has been confirmed in previous studies [21][22][23][24][25][26]. The wind-sand flow model is simulated using the Euler-Euler model and the Realizable k-ε turbulence model, which solves the velocity and pressure fields by the COUPLE algorithm, and the accuracy of the calculated residuals is set to 10 −6 .…”

Section: Control Equations and Solution Setupmentioning

confidence: 99%

Numerical Simulation and Parameter Optimization of a New Reed–Nylon Net Combined Sand Fence

Peng,

Jin,

Zhang

et al. 2023

Sustainability

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This paper introduces a kind of double-row reed–nylon net combined sand barrier. Using the computational fluid dynamics (CFD) method and the Euler–Euler double-fluid model, the new sand fences’ windproof effect and airflow features are simulated under different porosities and spacings, and the optimal configuration parameters are selected. The new sand fence has better windproof performance and practical significance than double-row reed and double-row nylon net fences. The new sand fences with a porosity of 0.3–0.4 and spacing of 28 H provide a longer protection range and a better wind protection effect. Considering the serious sand damage in China’s Taklamakan Desert, the new fences’ impact on sand buildup is examined. The combined sand fences have powerful sand blocking and accumulation effects, even though there is only a small quantity of sand accumulation on the leeward side of the second row. The sand particles primarily settle between sand fences in the center and rear areas. The combination of sand fences made of different materials combines the advantages of both, improves the construction efficiency and service life, and provides a more economical and efficient sand barrier arrangement for the arrangement of wind and sand-blocking facilities around railroads and highways in desert areas.

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Section: Control Equations and Solution Setupmentioning

confidence: 99%

Numerical Simulation and Parameter Optimization of a New Reed–Nylon Net Combined Sand Fence

Peng,

Jin,

Zhang

et al. 2023

Sustainability

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“…SVM is another widely adopted machine learning algorithm, which can describe the complex relationship between multiple variables based on the limited number of sample data [ 53 , 54 ]. Also, SVM can project low-dimensional data to high-dimensional data by adopting the kernel function so that the non-linear modelling can be transformed into linear modelling [ 55 , 56 ].…”

Section: Machine Learning Algorithmmentioning

confidence: 99%

Predicting the Temperature-Dependent Long-Term Creep Mechanical Response of Silica Sand-Textured Geomembrane Interfaces Based on Physical Tests and Machine Learning Techniques

Chao,

Wang,

et al. 2023

Materials

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Preciously assessing the creep mechanical response of sand–geomembrane interfaces is vital for the design of relevant engineering applications, which is inevitable to be influenced by temperature and stress statuses. In this paper, based on the self-developed temperature-controlled large interface shear apparatus, a series of long-term creep shear tests on textured geomembrane–silica sand interfaces in different temperatures, normal pressure, and creep shear pressure were conducted, and a database compiled from the physical creep shear test results is constructed. By adopting the database, three disparate machine learning algorithms of the Back Propagation Artificial Neural Network (BPANN), the Support Vector Machine (SVM) and the Extreme Learning Machine (ELM) were adopted to assess the long-term creep mechanical properties of sand–geomembrane interfaces while also considering the influence of temperature. Then, the forecasting results of the different algorithms was compared and analyzed. Furthermore, by using the optimal machine learning model, sensitivity analysis was carried out. The research indicated that the BPANN model has the best forecasting performance according to the statistics criteria of the Root-Mean-Square Error, the Correlation Coefficient, Wilmot’s Index of Agreement, and the Mean Absolute Percentage Error among the developed models. Temperature is the most important influence factor on the creep interface mechanical properties, followed with time. The research findings can support the operating safety of the related engineering facilities installed with the geomembrane.

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“…The expansion or contraction of a cavity in geotechnical media represents a fundamental one-dimensional problem [1][2][3]. Addressing this necessitates a fusion of continuum media mechanics principles and fundamental mathematical models capable of delineating intrinsic geotechnical media relationships [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Elastoplastic Solution of Cylindrical Cavity Expansion in Unsaturated Offshore Island Soil Considering Anisotropy

Cui,

Jin,

Jing

et al. 2024

JMSE

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An elastoplastic analysis scheme for the cylindrical cavity expansion in offshore islands unsaturated soils considering anisotropy is established. The hydraulic properties and anisotropy caused by stress of unsaturated soils are coupled in an elastoplastic constitutive matrix for unsaturated soil to obtain the governing equations for the cylindrical cavity expansion problem, with an analytical solution that utilizes the original hydro-mechanical state of the soil as the initial conditions. Through a comparative analysis with other analytical solutions, the effectiveness of the new solution is verified. Moreover, the swelling response of the cylindrical cavity expansion in unsaturated soils is examined by systematically analyzing different parameters of the surrounding soil. The findings reveal that the development and rate of anisotropy in normal consolidated soil and over-consolidated soil exert a significant impact on the soil’s mechanical characteristics. Nevertheless, the alteration in the model constant h has little effect on the soil’s mechanical characteristics. The analytical solution introduces anisotropy and broadens the expansion theory of unsaturated soils to yield a more comprehensive theoretical framework for the comprehensive analysis of offshore islands’ unsaturated soils.

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Drained expansion responses of a cylindrical cavity under biaxial in situ stresses: numerical investigation with implementation of anisotropic S-CLAY1 model

Cited by 22 publications

References 58 publications

Numerical Simulation and Parameter Optimization of a New Reed–Nylon Net Combined Sand Fence

Numerical Simulation and Parameter Optimization of a New Reed–Nylon Net Combined Sand Fence

Predicting the Temperature-Dependent Long-Term Creep Mechanical Response of Silica Sand-Textured Geomembrane Interfaces Based on Physical Tests and Machine Learning Techniques

Elastoplastic Solution of Cylindrical Cavity Expansion in Unsaturated Offshore Island Soil Considering Anisotropy

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