基于深埋隧洞围岩反馈分析的摩尔库伦准则优化

Modified Mohr-Coulomb Criterion Based on Feedback Analysis of Surrounding Rock of Deep Buried Tunnel

传统摩尔库伦准则作为一种线性强度准则并不能准确地描述深部岩体的非线性强度特征。借鉴土工原理经验,基于遗传算法对硬岩围岩参数反分析,利用随围压变化的围岩参数内摩擦角反映深埋岩体的强度非线性行为,优化摩尔库伦准则。在对比遗传算法和人工神经网络对深埋硬岩围岩参数反分析的基础上,利用ABAQUS有限元软件平台,从理论分析和实例计算两方面验证该改进强度准则的合理性。结果表明,应用改进的摩尔库伦强度准则正演的测点位移增量值更接近监测数据,该准则对深埋隧洞硬岩围岩有较好的适用性。

As a linear strength criterion,the traditional Mohr-Coulomb criterion is widely used in geotechnical engineering,but the non-linear strength characteristics of deep rock cannot be accurately expressed.This paper studied the principles of geoengineering and applied genetic algorithm to analyze the surrounding rock parameter to modify Mohr-Coulomb criterion by using the internal friction angle that changes with the pressure of the surrounding rocks to reflect the non-linear behavior of deep buried rock.Based on the comparison of genetic algorithm and artificial neural network for analysis of the deep buried surrounding rock parameters,the rationality of the improved criterion was analyzed from two aspects of theory and case by using the ABAQUS finite element software platform.The results show that application of the improved criterion in displacement increment of measure point is closer to the monitoring data.So,this criterion has a good applicability to the deep buried tunnel.