In tunnelling, rock mass support is designed based on the observed rock mass conditions. These conditions are determined by rock mass characterization. Measurement while drilling (MWD), one such characterization method, acquires drill parameter data during drilling. These data can be used to predict rock mass conditions ahead of the face. In this study, grout-hole MWD data are collected at one of the main tunnels in the large infrastructural project Stockholm bypass tunnels. The normalized and filtered MWD data are correlated to the rock mass characteristics using multilinear regression and the Levenberg-Marquardt method. Although a strong numerical correlation cannot be obtained, the results are promising. As a result, a holistic visual approach, which linked the MWD parameters with the rock mass classification and rock support requirements, was developed.

在隧道施工中，根据观察到的岩体状况设计岩体支护。这些条件由岩体特征确定。一种这样的表征方法随钻测量（MWD）在钻探期间获取钻探参数数据。这些数据可用于预测工作面前方的岩体状况。在这项研究中，在大型基础设施项目斯德哥尔摩旁路隧道的主要隧道之一中收集了灌浆随钻测井数据。使用多线性回归和Levenberg-Marquardt方法将归一化和过滤后的MWD数据与岩体特征相关。尽管无法获得很强的数值相关性，但结果令人鼓舞。结果，采用了一种整体视觉方法，将MWD参数与岩体分类和岩石支撑要求联系在一起，