Optimization of parameters of soil nailing is an important task in reinforcement soil problems. This paper focuses on the effect of nail geometric parameters on soil nailed wall analysis and identifies which factors that most affect their stability and cost using response surface methodology (RSM). RSM has been chosen to achieve an optimum combination of the soil nailing wall design. The influence of three factors has been considered; it included nail length, its inclination, and vertical spacing between nails. After a finite element analysis to model and perform the soil nailing simulations, a Box–Behnken design was applied, based on a set of experiments using various combinations. For this purpose, 15 runs were conducted to analyze tested parameters and to determine their interactions. The analysis of variance (ANOVA) and contour lines plots were investigated, and therefore, the most important parameters affecting the safety factor and the cost were identified. From the goodness-of-fit analyses of the model and the illustrative example, the proposed regression model provides a reasonably good estimate of the overall safety factor for soil nail walls and their cost. The results obtained from this study showed that RSM is an efficient and effective tool to identify the optimal combination, and it emerges that the safety factor and cost are most influenced by nail length and vertical spacing.

土钉参数优化是加固土体问题中的一项重要任务。本文重点研究钉几何参数对土钉墙分析的影响，并使用响应面法 (RSM) 确定最影响其稳定性和成本的因素。选择 RSM 以实现土钉墙设计的最佳组合。考虑了三个因素的影响；它包括钉子长度、倾斜度和钉子之间的垂直间距。在进行有限元分析以模拟和执行土钉模拟之后，基于使用各种组合的一组实验，应用了 Box-Behnken 设计。为此，进行了 15 次运行以分析测试参数并确定它们的相互作用。研究了方差分析 (ANOVA) 和等高线图，因此，确定了影响安全系数和成本的最重要参数。从模型和示例的拟合优度分析来看，建议的回归模型提供了对土钉墙的整体安全系数及其成本的合理估计。从这项研究中获得的结果表明，RSM 是一种确定最佳组合的有效工具，并且安全系数和成本受钉子长度和垂直间距的影响最大。建议的回归模型为土钉墙的整体安全系数及其成本提供了合理的良好估计。从这项研究中获得的结果表明，RSM 是一种确定最佳组合的有效工具，并且安全系数和成本受钉子长度和垂直间距的影响最大。建议的回归模型为土钉墙的整体安全系数及其成本提供了合理的良好估计。从这项研究中获得的结果表明，RSM 是一种确定最佳组合的有效工具，并且安全系数和成本受钉子长度和垂直间距的影响最大。