摘要
将遗传规划方法用于岩体流变模型辨识中,该方法不需要事先假定流变模型的形式,可以一次性地同时确定流变模型的结构形式及参数,避免了模型假定所带来的误差.采用Matlab语言编制的遗传规划程序对红板岩的蠕变实验进行了研究,得出了常应力水平下,应变与时间的非线性关系,并将其结果与基于最小二乘的西原体蠕变模型参数识别的结果进行了对比,结果表明:遗传规划用于岩石的流变模型辨识是可行的.
Genetic programming was adopted to identify the rheological constitutive model of rock, genetic programming＇s such merits as simultaneous determining the structure and parameters of rheological constitutive model without presumption of rheological constitutive model can avoid the error from the assumption of model efficiently. The creep test of red slate rock materials were studied by means of genetic programming in Matlab language, the nonlinear relation between strain and time under constant stress level were obtained, whose prediction results were compared with that of traditional method for the identification of creep model parameters, the results show that it is feasible to apply the genetic programming to the identification of rheological constitutive model of rock.
出处
《河北大学学报（自然科学版）》
CAS
北大核心
2008年第6期578-582,共5页
Journal of Hebei University(Natural Science Edition)
基金
河北省科学技术研究与发展指导计划项目(072156142)
河北省教育厅指令科研项目(2007415)
关键词
蠕变实验
本构模型
模式识别
遗传规划
creep test
constitutive model
model identification
genetic programming
