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Abstract In order to conduct surrounding rock classification ahead tunnel advancing effectively，the advanced surrounding rock classification method based on TSP 203 system and genetic algorithm(GA)-support vector machine(SVM) is put forward. The method extracts the useful information from the detection results of TSP 203，and it establishes the indicators system of advanced surrounding rock classification. In the progress of establishing advanced surrounding rock classification index system，six rock classification parameters are adopted，which TSP203 could identify effectively，i.e. rock mass integrity coefficient，Poisson¢s ratio，static Young¢s modulus，the angle between main structural surface and the tunnel axis，discontinuous structural surface and the state of groundwater. GA was adopted to optimize the SVM parameters in solution space，which improves the discrimination precision of SVM in surrounding rock classification. Finally，the method is applied to practical engineering and the results show that the method has higher prediction accuracy in predicting advanced surrounding rock classification and provides a new idea for advanced surrounding rock classification.
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Received: 27 December 2009
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