Predicting the shear strength parameters of sandstone using genetic programming
Predicting the shear strength parameters of sandstone using genetic programming
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DOI：
10.1007/s10064-017-1023-6
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发表时间：
2018
影响因子：
4.2
通讯作者：
Jimenez R
中科院分区：
文献类型：
--
作者：
Shen J;Jimenez R
t The strength of intact rock is, together with the.rock mass structure, probably the most important properties.for rock engineering. To accurately estimate the Mohr–.Coulomb (MC) strength parameters—cohesion c and angle.of friction /—of a rock, triaxial tests must be carried out at.different stress levels so that a failure envelope can be.obtained to be linearized. However, this involves a higher.budget and time requirements that are often not available at.the early stages of a project; thus faster and cheaper indirect.methods have been developed as an alternative. In this.paper, we use genetic programming (GP) to develop a.predictive model to estimate the MC shear strength.parameters of intact sandstone using other strength measures.(the uniaxial compressive strength, UCS, and uniaxial.tensile strength, UTS) under different stress conditions.which shear failure takes place. The reliability of the proposed.GP model is evaluated and compared with alternative.linear regression models based on UCS or UTS only,.and with the traditional triaxial-based approach. Results.show that, although the triaxial method provides the better.estimations, the proposed GP model has the best prediction.performance in the absence of triaxial data, so that it can be.used for practical strength estimations for intact sandstone.at the early stage of projects or when triaxial test data are.not available.
