Abstract Shahbazi et al. (2017) adopted the response surface methodology (RSM) technique to evaluate the combined efficiency of slag treatment and fiber reinforcement in the stabilization of an expansive soil mixture. The swell percent ( S p ), swelling pressure ( P s ), and unconfined compressive strength ( q u ) were represented as a function of three independent variables (i.e. slag content, fiber content, and fiber aspect ratio) by the second-order polynomial regression model, and ANOVA analysis was adopted to allocate a contribution percentage to each component of the regression model. It was noticed that the reported fitting parameters for S p and P s provided ambiguous predictions, and thus were recalculated to avoid any misleading information for readers. The statistical technique proposed by the authors is limited to allocating contribution factors to regressional components rather than evaluating the net favorable impact of each independent variable on the desired dependent variable. Therefore, the partial derivative sensitivity analysis approach was proposed as a simple and practical alternative to address the aforementioned uncertainty. The new approach presented in this discussion not only provides a unique contribution factor for each independent variable but also accounts for the combined favorable contribution offered by all three independent variables.

中文翻译：

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M. Shahbazi、M. Rowshanzamir、SM Abtahi、SM Hejazi 讨论“使用响应面方法优化地毯废料纤维和钢渣颗粒以加固膨胀土”[Appl. 粘土科学，doi:10.1016/j.clay.2016.11.027]

摘要 Shahbazi 等。(2017) 采用响应面法 (RSM) 技术来评估矿渣处理和纤维增强在膨胀土混合物稳定中的综合效率。溶胀百分比 ( Sp )、溶胀压力 ( P s ) 和无侧限抗压强度 ( qu ) 由二阶多项式表示为三个自变量（即渣含量、纤维含量和纤维纵横比）的函数回归模型，并采用方差分析为回归模型的每个组成部分分配一个贡献百分比。注意到报告的 S p 和 P s 拟合参数提供了模棱两可的预测，因此重新计算以避免对读者产生任何误导性信息。作者提出的统计技术仅限于将贡献因子分配给回归组件，而不是评估每个自变量对所需因变量的净有利影响。因此，偏导数敏感性分析方法被提出作为解决上述不确定性的一种简单实用的替代方法。本次讨论中提出的新方法不仅为每个自变量提供了独特的贡献因子，而且还考虑了所有三个自变量提供的综合有利贡献。偏导数敏感性分析方法被提议作为解决上述不确定性的一种简单实用的替代方法。本次讨论中提出的新方法不仅为每个自变量提供了独特的贡献因子，而且还考虑了所有三个自变量提供的综合有利贡献。偏导数敏感性分析方法被提议作为解决上述不确定性的一种简单实用的替代方法。本次讨论中提出的新方法不仅为每个自变量提供了独特的贡献因子，而且还考虑了所有三个自变量提供的综合有利贡献。