摘要
提出了岩石节理抗剪强度预测的支持向量机方法,并根据分形节理力学性质和光弹试验数据进行支持向量机的学习和预测。分析结果表明,基于统计学习理论的支持向量机方法可以用来预测节理岩石的抗剪强度,对于复杂的岩体力学行为具有很好的适应性,这种方法在岩石力学研究中具有很好的应用前景。
A new method was proposed to predict the shear strength of rock joint based on support vector machine. Support vector machine learning and prediction were conducted according to the data of photoelastic tests and mechanical properties of fractal joint. The result showed this method can predict the shear strength of rock joint and is suitable for presenting the complex behavior of rock.
出处
《长江科学院院报》
CSCD
北大核心
2004年第6期45-46,50,共3页
Journal of Changjiang River Scientific Research Institute
基金
绍兴市科技局科技计划项目(2004146)
关键词
节理岩石
剪切强度
支持向量机
rock joint
shear strength
support vector machine
