The aim of this study was to estimate brittleness of intact rock by applying differential evolution (DE) algorithm and then to compare the results obtained from the optimum model with literature. For this aim, several models including linear and nonlinear were developed for predicting the brittleness via DE algorithm using the dataset obtained from 48 tunnel cases around the world. Each model were developed using 80% of the dataset as training and 20% of the dataset as testing in random. After that, developed models are compared according to the coefficient of correlations (r ²), computer process unit (CPU), mean-squared error (MSE) and number of function evaluation (NFE) values to choose the best accurate one among them. It is found that the values r ², MSE, NFE and CPU ranged between 0.9385–0.9501, 8.2616–9.938, 7217–11,176 and 4.91–36.22, respectively, with the quadratic model (QM) indicating the best performance. It is concluded that the DE algorithm is itself very powerful tool for estimating the brittleness; however, the QM is superior especially for simulations in which computational time and optimisation is a critical.

这项研究的目的是通过应用差分演化（DE）算法估算完整岩石的脆性，然后将最佳模型的结果与文献进行比较。为此，开发了包括线性和非线性在内的几种模型，使用从全球48个隧道案例获得的数据集，通过DE算法预测脆性。每个模型都是使用80％的数据集作为训练和20％的数据集作为随机测试开发的。之后，根据相关系数（r ²），计算机处理单元（CPU），均方误差（MSE）和功能评估数（NFE）值对开发的模型进行比较，以从中选择最准确的模型。发现值r ²，MSE，NFE和CPU的范围分别在0.9385-0.9501、8.2616-9.938、7217-11,176和4.91-36.22之间，而二次模型（QM）则表明性能最佳。结论是，DE算法本身是评估脆性的非常强大的工具。但是，QM尤其适用于计算时间和优化至关重要的仿真。