Assessing the mechanical performance of different cable bolts based on design of experiments techniques and analysis of variance
Assessing the mechanical performance of different cable bolts based on design of experiments techniques and analysis of variance
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DOI：
10.1016/j.ijrmms.2020.104307
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发表时间：
2020-06-01
影响因子：
7.2
通讯作者：
Saydam, Serkan
中科院分区：
文献类型：
--
作者：
Li, Danqi;Li, Yingchun;Saydam, Serkan
为了研究锚索在轴向和剪切载荷作用下的力学性能，人们进行了大量的试验研究。所有这些研究的共同局限性是仅包括单变量描述性分析，导致对一系列参数对锚索力学性能的交互影响的理解不足。此外，为包括广泛参数的测试程序定义合理的实验次数一直是学者和实践者的挑战。因此，为了以合理和合乎逻辑的方式解决这些限制，引入了两种统计技术，即田口和响应面方法（RSM），以证明其有效性，从而在不影响输出质量的情况下，使试验次数最少。这样的任务是在文献中报告的数据进行。此外，使用方差分析（ANOVA）进行定量后数据处理。具体而言，方差分析主要用于量化不同的独立参数（如约束介质和浆液强度以及钻孔直径）对相关参数（如峰值和残余载荷以及初始刚度）的单独和交互作用的贡献。RSM也用于数据后的多变量统计分析。最后，得出的结论是，与援助的实验设计技术，如田口，它是可行的，以开发一个最小数量的实验，以获得最具代表性的测试结果，而不损害质量的研究成果沿着与一些定量后数据处理，使用方差分析。此外，它被证明，RSM的最重要的规格之一是提供定量和可视化的交互作用的独立参数对不同的电缆螺栓的机械性能，使用多元回归建模。
Many experimental studies have been carried out to characterise the mechanical performance of cable bolts under axial or shear loading. The common limitation in all these studies is that only single-variate descriptive analysis was included leading to an insufficient understanding of interactive influences of a range of parameters on the mechanical performance of cable bolt. Also, defining a reasonable number of experiments for the testing program that includes wide range of parameters has been a challenge for the scholars and practitioners. Thus, to address these limitations in a sound and logical manner, two statistical techniques being Taguchi and Response Surface Methodology (RSM) were introduced to demonstrate their effectiveness for a proper design of experiments leading to a minimum number of tests without compromising the output quality. Such a task was performed on the data reported in the literature. In addition, the quantitative post-data processing was conducted using Analysis of Variance (ANOVA). To be specific, ANOVA was mainly performed to quantify the contribution of different independent parameters (e.g. confining medium and grout strengths as well as borehole dimeter) on the dependent ones (e.g. peak and residual loads as well as the initial stiffness) individually and interactively. RSM was also used for the post-data multivariate statistical analysis. Finally, it was concluded that with the aid of Design of Experiments techniques such as Taguchi it is feasible to develop a minimum number of experiments to obtain the most representative tests results without compromising the quality of research outcome along with some quantitative post-data processing using ANOVA. Also, it was demonstrated that one of the most important specifications of RSM is to provide the quantitative and visual interactive effects of independent parameters on the mechanical performance of different cable bolts using multiple regression modelling.