English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3903021      Online Users : 377
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/94818


    Title: 以方格覆蓋法重新解釋卵礫石篩分析之粒徑分布特徵
    Other Titles: Interpretation of the Particle-Size Distribution Using Box-Counting Method
    Authors: 楊長義;楊振榮
    Contributors: 淡江大學土木工程學系
    Keywords: 卵礫石;篩分析;粒徑分布;碎形理論;碎形維度;Gravel;Sieve Analysis;Size Distribution;Fractal Theory;Fractal Dimension
    Date: 2001-08
    Issue Date: 2014-02-08 19:36:53 (UTC+8)
    Abstract: 在篩分析時,當顆粒尺寸大於篩網孔徑時會被停留在該號篩網上;而顆粒較小則會通過。依序在每一篩網上重複進行上述的篩選邏輯。這與碎形理論中,量測碎形維度(D)的方格覆蓋法之以大小不等方格尺寸之網格(Mesh)分別覆蓋到同一組顆粒群體上,再分別計算每一種尺寸方格之顆粒總覆蓋格之道理極為相似。本文仿照碎形理論之方格覆蓋法分析邏輯,針對卵礫石篩分析資料,以雙對數型態重新表現粒徑分布曲線特性,以求得大小組成顆粒之碎形維度D,借碎形維度D值可用以反映顆粒間填充之程度。
    In fractal theory, the box-counting method uses the grids in various sizes to cover the fractal object and obtains the box dimension. This sequential counting concept is analogous to the sieve analysis test using stacked sieves. This study applies the box-count method to describe the particle size distribution of gravel. The particle-size distribution curve obtained from a sieve analysis is re-arranged in a double-logarithmic plot, according to a fractal model, to obtain its fractal dimension of the particle collection.
    Relation: 第九屆大地工程學術研討會論文集=Proceedings of 9th Conference on Current Researches in Geotechnical Engineering
    Appears in Collections:[土木工程學系暨研究所] 會議論文

    Files in This Item:

    File SizeFormat
    以方格覆蓋法重新解釋卵礫石篩分析之粒徑分布特徵_英文摘要.docx16KbMicrosoft Word140View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback