Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Application of FDA Discriminant Analysis Methodin Classification of Tunnel Surrounding Rocks
Aiming at the classification of tunnel surrounding rock, and taking the surrounding rock of a water conveyance tunnel in southwest China as the research object, this paper comprehensively selects 8 indicators such as uniaxial saturated compressive strength of rock, volume joint count, rock mass integrity coefficient, main structural surface occurrence, rock quality, strength-stress ratio, crack weathering.and joint set in hydropower surrounding rock classification and Q system classification as the discriminant factors to establish the corresponding Fisher discriminant model, tests the modeling data one by one by the back-substitution estimation method, with the consistency rate of 89.5%, and applies the discriminant model to the remaining sections of the tunnel to obtain the prediction results, which are consistent with the actual situation. The research results show that Fisher discriminant analysis is easy to understand and accurate in the classification of surrounding rock, which can provide reference for the design, construction, monitoring and further theoretical research of tunnel engineering under similar conditions, with certain engineering application value.
Application of FDA Discriminant Analysis Methodin Classification of Tunnel Surrounding Rocks
Aiming at the classification of tunnel surrounding rock, and taking the surrounding rock of a water conveyance tunnel in southwest China as the research object, this paper comprehensively selects 8 indicators such as uniaxial saturated compressive strength of rock, volume joint count, rock mass integrity coefficient, main structural surface occurrence, rock quality, strength-stress ratio, crack weathering.and joint set in hydropower surrounding rock classification and Q system classification as the discriminant factors to establish the corresponding Fisher discriminant model, tests the modeling data one by one by the back-substitution estimation method, with the consistency rate of 89.5%, and applies the discriminant model to the remaining sections of the tunnel to obtain the prediction results, which are consistent with the actual situation. The research results show that Fisher discriminant analysis is easy to understand and accurate in the classification of surrounding rock, which can provide reference for the design, construction, monitoring and further theoretical research of tunnel engineering under similar conditions, with certain engineering application value.
Application of FDA Discriminant Analysis Methodin Classification of Tunnel Surrounding Rocks
CHEN Liang (Autor:in) / HAN Aiguo (Autor:in) / CHEN Qiang (Autor:in) / REN Guangming (Autor:in)
2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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