Methods of Preparing Artificoal Melange Model and Volumetric Proportion Measurement

碩士 === 國立中央大學 === 土木工程研究所 === 90 === Melange - A mappable body of rock that includes fragments and blocks of all size, both exotic and native, embedded in a fragmented and generally sheared matrix, mechanical properties affected by heterogeneous and anisotropy. Melange is difficult to get sufficient...

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Bibliographic Details
Main Authors: Che-Ming Liu, 劉哲明
Other Authors: Yong-Ming Tien
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/74443694212572719997
Description
Summary:碩士 === 國立中央大學 === 土木工程研究所 === 90 === Melange - A mappable body of rock that includes fragments and blocks of all size, both exotic and native, embedded in a fragmented and generally sheared matrix, mechanical properties affected by heterogeneous and anisotropy. Melange is difficult to get sufficient amount from nature to do the experiment. In this research, artificial melange samples are made from nature rock materials (cement and kaolin) with different blending ratio for further use. First, the thesis initially uses FLAC program to analyze the influence by the scale effect of melange and bead size. According to the analyzing result, we decide to prepare artificial beads in the form of round-plate (diameter: 15mm, thickness: 3mm) to simulate the block. By knowing control volume proportion, we can calculate the number of layer and bead to make the sample. Next, we use bead lining-up machine to put the beads horizontally on each matrix, and then spread matrix on the beads to flatten the surface. Repeat the above steps until the sample reaches required height. After the sample is finished, melange specimen is drilled with various dip angles. And we can obtain melange with different inclined angles. According to the concept of stereology, rolling-scanner is used to get the surface image of the sample. By using Image process method, we calculate the volumetric block proportion of the enhanced material and compare the result obtained from Unit weight method. After the comparison, both methods are reliable, but Image process method can reduce great amount of experiment time and is more accurate than Unit weight method.