Abstract：
In light of the precision and efficiency problems related to the traditional inversion method, an inversion for the rock rheological parameters was carried out by introducing the support vector machine, heuristic optimization algorithm and 3D numerical model. Specifically, a non-linear support vector model was established for the relationship between the mechanical parameters and the displacement of the rock mass based on training sample sets provided by a uniform design and a 3D numerical model and the optimal parameters of the support vector model obtained by the heuristic algorithm; for any given set of rock parameters, the extrapolating ability of SVM was used instead of the numerical computation, and an adjustment of the inversion parameters related to the rock′s mechanical behaviors was conducted by an heuristic algorithm and an iteration calculation. Based on the case of the Dujiashan tunnel on the Guangyuan-Gansu expressway, the above inversion method is proven to be reasonable and reliable for guiding parameter design and construction control of a tunnel.
XU Guo-Wen- He- Chuan- Wang- Wei
.Heuristic Calculation-Support Vector Machine Method for Parameter Identification in a Rock Rheological Model[J] MODERN TUNNELLING TECHNOLOGY, 2016,V53(4): 43-51
2016, Vol. 53 