During the jet grouting process, large volumes of high pressurized fluids injected into the soils will cause significant ground displacements, which may bring harmful impacts on surrounding environment. Therefore, it is essential to provide an accurate estimation of the ground displacement in the design stage. Based on multiple nonlinear regression (MNLR) and support vector regression (SVR), the prediction approaches are established, respectively. The column radius (R_c), Young’s modulus (E), and distance from column center to target point (L_OA) are selected as the input parameters, while the displacement of target point A at the radial direction (δ_A) is taken as the output parameter. Comparisons results on the prediction performance of ground displacements indicate that the MNLR-based approach has a better prediction effect. The design charts of the MNLR-based approach for predicting the ground displacement are created, which will be helpful for the practicing engineers to get a quick estimation.

中文翻译：

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使用机器学习方法评估由安装喷射灌浆柱引起的地面位移

在喷射注浆过程中，大量高压流体注入土壤中会引起很大的地面位移，这可能会对周围环境造成有害影响。因此，在设计阶段必须提供对地面位移的准确估计。基于多元非线性回归（MNLR）和支持向量回归（SVR），分别建立了预测方法。列半径（ř _Ç），杨氏模量（ë），和距离从塔中心到目标点（大号_OA）被选择作为输入参数，而目标点A处的径向方向上的位移（δ_甲）作为输出参数。地面位移预测性能的比较结果表明，基于MNLR的方法具有较好的预测效果。创建了基于MNLR的用于预测地面位移的方法的设计图，这将有助于从业工程师快速进行估算。