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The performance prediction of roadheaders from easy testing methods

机译：通过简单的测试方法预测掘进机的性能

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An accurate prediction of roadheader performance helps to make for more efficient and cost effective planning of tunneling projects. In this study, the performance prediction models for roadheaders were developed by using easy testing methods such as Brazilian tensile strength, point load strength, block punch strength, ultrasonic velocity, density, porosity, and the water absorption ratio. A Dosco Mk-2B axial type roadheader has been monitored during roadway construction in an underground lignite mine located in Cayirhan, a town of Ankara and the instantaneous cutting rates (ICR) were calculated. Physical and mechanical tests were conducted on the rock samples collected from each observation location. Simple regression analysis showed that the physico-mechanical rock properties were not correlated with the ICR values. Stepwise multiple regression analysis was also performed, and the best model to predict the ICR of the roadheader was selected. The best model with a high correlation coefficient (r = 0.89) includes point load strength and water absorption by weight. The simple models including two variables were also developed for alternative use in practice. In addition, the usability of the derived models in a jointed rock mass was discussed by including a correction factor to the models for geological discontinuities. A concluding remark is that the derived models can be practically used for the estimation of the ICR of roadheaders in similar formations.
机译：掘进机性能的准确预测有助于制定更高效，更具成本效益的隧道工程计划。在这项研究中，通过使用简单的测试方法（例如巴西拉伸强度，点载荷强度，块冲头强度，超声波速度，密度，孔隙率和吸水率），开发了掘进机的性能预测模型。在安卡拉市Cayirhan的地下褐煤矿井的道路施工过程中，对Dosco Mk-2B轴向掘进机进行了监控，并计算了瞬时切割率（ICR）。对从每个观察点收集的岩石样品进行了物理和机械测试。简单回归分析表明，岩石的物理力学性质与ICR值无关。还进行了逐步多元回归分析，并选择了预测掘进机ICR的最佳模型。具有高相关系数（r = 0.89）的最佳模型包括点载荷强度和重量吸水率。还开发了包括两个变量的简单模型，供实际使用。此外，通过在地质不连续性模型中加入校正因子，讨论了节理模型中导出模型的可用性。结论是，所推导的模型可以实际用于估算相似地层中掘进机的ICR。

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