The uniaxial compressive strength (UCS) represents the strength of the rock. It frequently requires during the introductory phase of mining projects such as tunneling, rock excavation, blast hole designs, etc. Usually, the determination of UCS of rocks is carrying out in a concerned laboratory. The main drawback of determining the UCS in a laboratory requires at least five core samples of high-grade quality. Many problems and limitations are associated with removing the core, and also preparing the test specimen for UCS is tedious, time-consuming, and expensive. Therefore an attempt is made to develop an efficient indirect method to estimate the UCS of rocks without using the core samples. In this experimental investigation, the drilling response, such as thrust, is gathered by drill tool dynamometer considering the different drill operating parameters. The prediction model is developed with a regression technique using the measured thrust and calculated torque. The prediction capacity and validation of the model are carried out using the standard procedure. The experimental results show that the model could explain the variance in UCS up to 93.60%. RMSE and MAPE values in terms of percentage are 3.49% and 11.27%, respectively. Besides, the model's validation is checked for sandstone and limestone having the UCS 28 MPa and 35 MPa, respectively, and yielded the best prediction results with an error of 8.51% and 8.01% suggesting that the developed model could predict the UCS of sedimentary rock types within acceptable error limit, and reasonably. The correlation of UCS of rocks and drilling specific energy is also tested and found that linear relationship between them with an R² value of 92.10%.

单轴抗压强度 (UCS) 表示岩石的强度。在隧道掘进、岩石开挖、爆破孔设计等采矿项目的引入阶段经常需要它。通常，岩石UCS的测定是在相关实验室进行的。在实验室中确定 UCS 的主要缺点是需要至少五个高质量的岩心样品。许多问题和限制都与移除岩心有关，而且为 UCS 准备测试样本是乏味、耗时且昂贵的。因此，尝试开发一种有效的间接方法来估计岩石的 UCS，而不使用岩心样本。在本次实验研究中，钻井响应，如推力、考虑到不同的钻机操作参数，由钻具测功机收集。预测模型是使用测得的推力和计算的扭矩通过回归技术开发的。模型的预测能力和验证使用标准程序进行。实验结果表明，该模型可以解释UCS中高达93.60%的方差。就百分比而言，RMSE 和 MAPE 值分别为 3.49% 和 11.27%。此外，模型对UCS分别为28 MPa和35 MPa的砂岩和石灰岩进行了验证，预测结果最好，误差分别为8.51%和8.01%，表明该模型可以预测沉积岩类型的UCS在可接受的误差范围内，并且合理。²值为 92.10%。