| Summary: | 碩士 === 國立中央大學 === 應用地質研究所 === 83 === Rock mass Rating(RMR) System is important in deciding the
types and amounts of tunnel supports. Traditionally, RMR
system is used to categorize rock mass into different grades.
However, rock mass with same grades do not necessarily possess
similar geologic conditions. This question is of practical
weakness to the RMR system. The purpose of this study is to
initiate a new approach of RMR system by using principal
component analysis and cluster analysis. The scope of this tudy
includes 2019 and 1804 geological data recorded from excavation
faces of the Futeh tunnel and Sanyih #1 tunnel respectively.
The objectives of principal component analysis are filtering
out data variability and undertaking the rotation of principal
component axis. Cluster analysis is performed to identify the
RMR samples with different weighting factors and then, to
classify those samples according to their similarities. This
study use Ward''s method, one of hierachical cluster analysis
method, to find the error of sum of square,and then to classify
samples accordingly. By using this method, mor reasonable
result can be achieved. To deal with the records, we still
follow the current weighting of RMR system to compare with
the source system and the emperical functions. In practice,
this method can help solving problems of which rating are
located near classification boundary of RMR system and
helps the decision of tunnel supports.
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