A fuzzy model for high-speed railway tunnel convergence prediction in weak rock

Electronic Journal of Geotechnical Engineering

Volumn 16 Q, Issue , 2011, Pages 1275-1295

  Adoko, Amoussou Coffi ^a   Zuo, Qing Jun ^a   Wu, Li ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Mamdani fuzzy Systems; New austrian tunnelling method (NATM); Tunnel convergence

Indexed keywords

COEFFICIENT OF DETERMINATION; CONSTRUCTION SITES; DATA SETS; EARLY PREDICTION; EFFECTIVE PARAMETERS; FUZZY MODELS; GROUND ENGINEERINGS; HIGH-SPEED RAILWAYS; HUNAN PROVINCE; MAMDANI; MAMDANI FUZZY SYSTEM; MODEL PERFORMANCE; MONITORING STATIONS; NEW AUSTRIAN TUNNELLING METHOD; PREDICTION ACCURACY; ROCK DENSITY; ROOT MEAN SQUARE ERRORS; STATISTICAL REGRESSION; SURROUNDING ROCK MASS; TUNNEL CONSTRUCTION; TUNNEL OVERBURDEN; WEAK ROCK; WORKING FACE;

FORECASTING; MEAN SQUARE ERROR; RAILROAD ENGINEERING; RAILROAD TUNNELS; REGRESSION ANALYSIS; SUPPORTS;

TUNNELS;

ALGORITHM; CONVERGENCE; DATA SET; FUZZY MATHEMATICS; NATM; PARAMETERIZATION; PREDICTION; RAILWAY; REGRESSION ANALYSIS; ROCK MASS RESPONSE; SENSITIVITY ANALYSIS; TUNNEL; WEAK ROCK;

CHINA; HUNAN;

EID: 84856574335     PISSN: None     EISSN: 10893032     Source Type: Journal    
DOI: None     Document Type: Article

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