摘要
提出适用于隧道工程智能预测的基于皮尔曲线的自适应免疫算法,以皮尔曲线较准确地描述隧道围岩收敛趋势,采用免疫系统的方法把非线性序列的趋势项偏移量建模外推,以影响围岩稳定性的各种因素作为入侵抗原进行有效解决,通过提高交叉概率和变异概率等参数的方法实现免疫系统的自适应调整,并以分布规律性和动态稳定性保证系统的稳定和全局优化,使该系统成为随环境改变而不断完善的一个自适应鲁棒进化系统。通过对云岭隧道工程的应用研究,实现在复杂地质环境下对于非确定性系统的预测,较好地解决在隧道智能计算中由于建模的不确定性造成的困难,而这种困难是用传统计算方法难以解决的。研究结果显示,基于皮尔曲线的自适应免疫算法在隧道工程智能预测应用中的优越性和实用性。
As a powerful and complicated defensive system in the organism,immune system is provided with advantages of the self-adaptability and it can be used to resolve different disturbances and uncertain questions.Based on the Pearl curve,the adaptive immune algorithm that is proposed for the tunnel engineering prediction is put forward.The Pearl curve could describe the convergence of the tunnel surrounding rockmass accurately,and can predict the nonlinear deformation tendency by the immune system.Taking each factor that will influence the stability of the tunnel surrounding rockmass as antigen to settle it effectively,through the increase of across and mutation probability,the adaptive of immune system could be realized.The distributing rule and dynamic stability could guarantee the system stability and the whole optimization.From this point,it can enable the whole system to be a self-adaptive robustness system that can perfect itself with changing conditions.This method has been applied to the engineering of Yunling tunnel;the prediction of the uncertain system predication in the complex geological conditions could be realized.Some problems in the traditional methods have been solved with this method in intelligent calculation for tunnels.The research results show that the adaptive immune algorithm of the Pearl curve has superiority and effectiveness for intellectuality prediction of tunnel engineering.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2007年第A01期3410-3415,共6页
Chinese Journal of Rock Mechanics and Engineering
基金
国家自然科学基金资助项目(50609028)
关键词
隧道工程
自适应免疫算法
皮尔曲线
围岩收敛
tunneling engineering
adaptive immune algorithm
Pearl curve
surrounding rock mass convergence
