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中文摘要：
为解决参数数量随加载级数增加而成倍增加,对参数反演带来困难这一问题,在分级加载蠕变模型中,根据粒子群算法和最小二乘法对参数反演的特点,先采用粒子群算法（PSO）对模型参数进行反演得到一个全局次优粒子,再将其作为初始值对模型参数进行最小二乘法反演。工程实例表明,粒子群-最小二乘法反演可以很好地应用于分级加载蠕变模型的参数反演。
英文摘要：
It is very important to invert the parameter of rock creep model based on the experimental results for understanding the behavior of rock mechanics.The step-load creep model is adopted to describe rock creep behavior under step load.It becomes difficult to invert parameter values as the number of parameters increases with the load steps.Based on the characteristics of PSO and Least Square,a new parameter inversion method is proposed,which proceeds as 1） the model parameters are inverted using PSO;2） Least Square is used to invert the model parameters with initial values from step 1）.A case study demonstrates that the PSO-Least Square method could be effectively used in inverting the parameters of step-load rock creep model.
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