Abstract：According to tunnel boring machine(TBM) advance rate，surrounding rockmass is classified into 4 grades，i. e. good，comparatively good，comparatively bad and bad in working condition. Based on fuzzy mathematics method，two indices of uniaxial compressive strength UCS and rock mass integrity index KV are adopted；and their membership functions of the 4-grade classification of rock mass about TBM construction are established. Meanwhile，Sigmoid function is adopted to depict the weight of UCS and KV rather than a constant as QTBM and traditional fuzzy mathematics method. Based on the maximum membership degree criterion of fuzzy mathematics，the rockmass quality of TBM construction could be classified. Applications of three construction cases show that the prediction results coincide well with the TBM construction advance rate reality. The classification method is simple and feasible；and it can be put into practice.
白郁宇，张瑞仁. TBM掘进速率预测模型的比较[J]. 现代隧道技术，2005，42(5)：7-16.(BAI Yuyu，ZHANG Ruiren. Comparison of TBM advance rate prediction models[J]. Modern Tunnelling Technology，2005，42(5)：7-16.(in Chinese))
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2011, Vol. 30 
