Abstract：The elastic and elasto-plastic stages of rock are very difficult to be separated precisely and few of data in failure stage has been measured. To establish a model，fitting the P-S curve of rock bolts at large and affected little by the data at failure and the elastic stages，is therefore very important for the prediction of the ultimate bearing capacity of rock bolts with higher accuracy. After analysis of the hyperbolic，index and the power function，a general model was put forward to simulate the load and displacement curve of rock bolts(shorted for P-S curve). According to the actual P-S curve(through the origin，non-negative bounded，monotone increasing，infinite convergence and convex)，a mathematical function for P-S curve of rock bolts based on the general model was established. The exponential function model was revised and the hyperbola model were adjusted so that，a mixed function model was established. The application of the mixed function model simulated the P-S curve and the ultimate bearing capacity of rock bolts with higher accuracy.
Key words：geotechnical engineering；rock bolt P-S curve；mixed function model of improved exponential and power function；the ultimate bearing capacity of rock bolt
孙晓云，张 涛，王明明，王振东. 基于改进指–幂混合函数模型的锚杆承载力预测方法研究[J]. 岩石力学与工程学报, 2015, 34(08): 1641-1649.
SUN Xiaoyun，ZHANG Tao，WANG Mingming，WANG Zhendong. A REVISED MODEL FOR PREDICTING THE BEARING CAPACITY OF ROCK BOLTS BASED ON MIXED EXPONENTIAL AND POWER UNCTION. , 2015, 34(08): 1641-1649.
许 明，张永兴，阴 可. 锚杆极限承载力的人工神经网络预测[J]. 岩石力学与工程学报，2002，21(5)：755-758.(XU Ming，ZHANG Yongxing，YIN Ke. Prediction of limit bearing capacity of bolt using artifical neural networks[J]. Chinese Journal of Rock Mechanics and Engineering，2002，21(5)：755-758.(in Chinese))
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2015, Vol. 34 
