A case study of TBM performance prediction using a Chinese rock mass classification system – Hydropower Classification (HC) method

Author:

Liu Quansheng,Liu Jianping,Pan Yucong,Kong Xiaoxuan,Hong Kairong

Funder

China National Key Basic Research Program

Key Program of National Natural Science Foundation of China

National Funded Program for Graduate Students Studying Abroad of China Scholarship Council

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference90 articles.

1. On the influence of discontinuities at the application of tunnelling machines;Aeberli,1978

2. Advance rates of hard rock TBMs and their effects on project economics;Alber;Tunn. Undergr. Space Technol.,2000

3. Modelling tunnel boring machine performance by neuro-fuzzy methods;Alvarez Grima;Tunn. Undergr. Space Technol.,2000

4. Rock test indices are being successfully correlated with tunnel boring machine performance;Bamford,1984

5. Engineering classification of rock masses for the design of tunnel support;Barton;Rock Mech.,1974

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