Volume 27 Issue s1
Dec.  2019
Turn off MathJax
Article Contents
Article Navigation >  JOURNAL OF ENGINEERING GEOLOGY  > 2019  >  27(s1): 386-391
GAO Hongling, LI Jieliang, HU Chenzhi, LI Xiaojun. 2019: DEVELOPMENT AND APPLICATION OF LOESS MACROPORE VECTORIZATION CHARACTERIZATION SOFTWARE. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 386-391. doi: 10.13544/j.cnki.jeg.2019156
Citation: GAO Hongling, LI Jieliang, HU Chenzhi, LI Xiaojun. 2019: DEVELOPMENT AND APPLICATION OF LOESS MACROPORE VECTORIZATION CHARACTERIZATION SOFTWARE. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 386-391. doi: 10.13544/j.cnki.jeg.2019156
shu

DEVELOPMENT AND APPLICATION OF LOESS MACROPORE VECTORIZATION CHARACTERIZATION SOFTWARE

doi: 10.13544/j.cnki.jeg.2019156

  • 1. Qinghai Geotechnical Investigation Consulting Co., Ltd., Xining 810012;

  • 2. College of Geological and Environmental Engineering of Xi'an University of Science and Technology, Xi'an 710054

Funds:

This study is supported by the Open Fund from State Key Laboratory of Loess and Quaternary Geology(Grant No. SKLLQG1612) and Project from Key Laboratory of Loess Disasters, Ministry of Land and Resources(Grant No. KLGLAMLR201504)

  • Received Date: 2019-06-04
  • Rev Recd Date: 2019-07-01
    Abstract
  • A large number of vertical macropores are developed in loess. The vectorization of vertical macropores in loess is the basis and difficulty of the study of fabric constitutive relations of loess. Based on industrial CT scanning and beads chain filling method, this paper develops a set of software for vectorization and characterization of loess macropores. The specific functions of the software implementation are:1)CT scan reconstruction of the 3D model of loess macropores; 2)automatic filling and pore separation of the loess ball chain; 3)Automatic statistics of the distribution characteristics of single pores; 4)Calculation of fabric tensor and fabric tensor coefficient of loess macropores model based on Stereology technology. The results show that the beads chain filling method and the developed software can vectorize the fabric characteristics of loess pores. The software lays a foundation for the fabric description of loess.
    • FullText(HTML)
  • loading
    • References(28)
  • Chen Z H,Fang X W,Zhu Y Q,et al. 2009. Research on meso-structures and their evolution laws of expansive soil and loess[J]. Rock and Soil Mechanics,30(1):1-11.
    Du T T,Li Z Q,Wang X M,et al. 2018. Model experiment study on erosion of loess slope due to rainfall[J]. Journal of Engineering Geology,26(3):732-740.
    Fang X W,Chen Z H,Shen C N,et al. 2008. Analysis on Meso-structure evolution of unsaturated natural Q2 loess during yield hardening[J]. Chinese Journal of Geotechnical Engineering,(7):1044-1050.
    Gao G R. 1980. Microstructure classification and collapsibility of loess[J]. Chinese Science,(12):1203-1208, 1237-1240.
    Lei S Y,Tang W D. 2004. Analysis of microstructure change for loess in the process of loading and collapse with CT scanning[J]. Chinese Journal of Rock Mechanics and Engineering,(24):4166-4169.
    Li L F,Zeng Y,Jia Q Q,et al. 2018. The software design of plug gauge based on MATLAB-GUI[J]. Aviation Maintenance & Engineering, (2):60-63.
    Li X M. 2017. Design and development of surface emg signal processing software based on matlab[D]. Shanghai:Shanghai University of Sport.
    Pang X Q,Hu Z Q,Li H R,et al. 2016. Structure damage evolution and mechanical properties of loess by CT-Triaxial Test[J]. Journal of Hydraulic Engineering,47(2):180-188.
    Pu Y B,Chen W Y,Liao Q R. 2000. Research on CT structure changing for damping process of loess in Longdong[J]. Chinese Journal of Geotechnical Engineering,22(1):52-57.
    Wang X. 2015. Design and Implementation of a data processing system used for range and velocity detection by radar[D]. Tianjin:Tianjin University.
    Wu Z W,Zhao Z X,Huang P K,et al. 2015. Design of mobile robot obstacle avoidance simulator based on Matlab[J]. Journal of Computer Applications,35 (S1):226-228, 242.
    Yang G S,Tian J F,Ye W J. 2014. Influence of freeze-thaw cycles on Yangqu tunnel loess meso-damage evolution[J]. Journal of Xi'an University of Science and Technology,34(6):635-640.
    Zhang Y Y,Shao Z S,Qi J Y. 2017. Dynamic constitutive model of loess based on arctangent function[J]. Journal of Engineering Geology,25(3):630-636.
    Zhu X H,Peng J B,Tong X,et al. 2017. Preliminary research on geological disaster chains in loess area[J]. Journal of Engineering Geology,25(1):117-122.
    陈正汉,方祥位,朱元青,等. 2009. 膨胀土和黄土的细观结构及其演化规律研究[J]. 岩土力学,30(1):1-11.
    杜婷婷,李志清,王晓明,等. 2018. 黄土边坡降雨冲刷模型试验研究[J]. 工程地质学报,26(3):732-740.
    方祥位,陈正汉,申春妮,等. 2008 非饱和原状Q2黄土屈服硬化过程的细观结构演化分析[J]. 岩土工程学报,(7):1044

    -1050.
    高国瑞. 1980. 黄土显微结构分类与湿陷性[J]. 中国科学,(12):1203-1208

    , 1237-1240.
    雷胜友,唐文栋. 2004. 黄土在受力和湿陷过程中微结构变化的CT扫描分析[J]. 岩石力学与工程学报,(24):4166-4169.
    李林峰,曾义,贾钦荃,等. 2018. 基于MATLAB-GUI的光面塞规软件设计[J]. 航空维修与工程,(2), 60-63.
    李向明. 2017.

    基于Matlab的表面肌电信号处理软件设计与开发[D]. 上海:上海体育学院.
    庞旭卿,胡再强,李宏儒,等. 2016. 黄土剪切损伤演化及其力学特性的CT-三轴试验研究[J]. 水利学报,47(2):180-188.
    蒲毅彬,陈万业,廖全荣. 2000. 陇东黄土湿陷过程的CT结构变化研究[J]. 岩土工程学报,22(1):52-57.
    王旭. 2015.

    用于雷达测距与测速的数据处理系统设计与实现[D]. 天津:天津大学.
    吴志伟,赵祚喜,黄培奎,等. 2015. 基于Matlab的机器人避障仿真软件设计[J]. 计算机应用,35 (S1):226-228

    , 242.
    杨更社,田俊峰,叶万军. 2014. 冻融循环对阳曲隧道黄土细观损伤演化规律影响研究[J]. 西安科技大学学报,34(6):635-640.
    张媛媛,邵珠山,齐晋阳. 2017. 基于反正切函数的西安黄土动本构模型[J]. 工程地质学报,25(3):630-636.
    朱兴华,彭建兵,同霄,等. 2017. 黄土地区地质灾害链研究初探[J]. 工程地质学报,25 (1):117-122.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views (788) PDF downloads(15) Cited by()
    Proportional views
    Related

      Contacts Us

    • Sponsor: Institute of Electronics, Chinese Academy of Sciences (IECAS) ， China Radar Industry Association
    • Phone: 010－82998121，82998124

    Supported by: Beijing Renhe Information Technology Co. Ltd  Support: info@rhhz.net   百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return