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A Mass-Conservative Numerical Solution for Finite-Strain Consolidation During Continuous Soil Deposition

机译:连续土体有限固结固结的数值守恒数值解

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Consolidation of accreting soft soils is a topic of significant interest for engineers dealing with mine tailings deposition, hydraulic fills, dredging deposits, and wetland construction. In these cases, the classical Terzaghi’s theory often fails to produce satisfactory solutions due to variations in compressibility and permeability under large deformations. The finite-strain theory introduced by Gibson allows for the non-linearity of material properties and provides an accurate description of soft soil deposits undergoing large displacements. Numerical accretion models based on Gibson’s theory need to account for both the non-linearity of the governing equation and the continuous domain change. This paper investigates the numerical performance of several one-dimensional finite-difference schemes with different time-stepping algorithms and mesh discretization procedures. An optimal massconservative scheme is selected and implemented into a numerical model. The presented field example demonstrates that the employed mapping technique ensures both mass and water conservation, essential for water balance and storage capacity prediction in slurry disposal projects.
机译:对于处理矿山尾矿沉积,水力充填,疏deposit沉积物和湿地建设的工程师来说,积聚软土是一个非常重要的话题。在这些情况下,由于大变形下可压缩性和渗透性的变化,经典的Terzaghi理论常常无法产生令人满意的解决方案。吉布森(Gibson)引入的有限应变理论考虑了材料特性的非线性,并提供了对经历大位移的软土沉积物的准确描述。基于吉布森理论的数值吸积模型需要考虑控制方程的非线性和连续域变化。本文研究了几种具有不同时间步长算法和网格离散化程序的一维有限差分方案的数值性能。选择最佳的质量守恒方案并将其实现为数值模型。给出的现场实例表明,采用的测绘技术可确保节水和节水,这对于泥浆处置项目中的水平衡和储水量预测至关重要。

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