Microstructural analysis of sands with varying degrees of internal stability

被引:39
|
作者
Fonseca, J. [1 ]
Sim, W. W. [2 ]
Shire, T. [3 ]
O'Sullivan, C. [2 ]
机构
[1] City Univ London, London EC1V 0HB, England
[2] Univ London Imperial Coll Sci Technol & Med, London, England
[3] Atkins Ltd, Epsom, Surrey, England
来源
GEOTECHNIQUE | 2014年 / 64卷 / 05期
基金
英国工程与自然科学研究理事会;
关键词
erosion; filters; laboratory tests; EVOLUTION; DISCRETE; CT;
D O I
10.1680/geot.13.T.014
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Internal erosion involves the migration of particles through a geotechnical structure. Internal erosion poses a significant hazard to embankment dams and flood embankments. The fundamental mechanisms operate at the particle scale and a thorough understanding of these mechanisms can inform the filter design and specification process and reduce the hazard that internal erosion is known to pose to many engineered embankment structures. Engineers have long acknowledged the importance of the grain scale interactions, but until recently, explanations of the mechanisms have been purely hypothetical, as direct observation of the internal structure of filters was not possible. Recent research has used the discrete-element method to establish a particle-scale basis for Kezdi's filter internal stability criterion. The discrete-element method can provide significant useful data on soil microstructure, so a discrete-element method model is inherently ideal. This study therefore examines a number of real sand samples with varying degrees of internal stability at the particle scale using high-resolution micro-computed tomography. The correlation between coordination number and internal stability is confirmed, with the coordination number values being significantly higher for the real material.
引用
收藏
页码:405 / 411
页数:7
相关论文
共 50 条
  • [11] Stochastic stability analysis for neural networks with mixed time-varying delays
    Ma, Yuechao
    Zheng, Yuqing
    NEURAL COMPUTING & APPLICATIONS, 2015, 26 (02): : 447 - 455
  • [12] Asymptotic Stability Analysis of Genetic Regulatory Networks with Time-varying Delay
    Li, Hongjie
    Yang, Xiaochun
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 566 - 571
  • [13] New optimal analysis method to stability and H∞, performance of varying delayed systems
    Qian, Wei
    Xing, Weiwei
    Wang, Lei
    Li, Bingfeng
    ISA TRANSACTIONS, 2019, 93 : 137 - 144
  • [14] Lp stability analysis of neural networks with multiple time-varying delays
    Liang, Xue
    Wang, Xin
    Zhang, Xian
    Liu, Chunyan
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (13): : 10386 - 10408
  • [15] Stability analysis for uncertain switched neural networks with time-varying delay
    Shen, Wenwen
    Zeng, Zhigang
    Wang, Leimin
    NEURAL NETWORKS, 2016, 83 : 32 - 41
  • [16] Extended internal stability criteria for soils under seepage
    Chang, D. S.
    Zhang, L. M.
    SOILS AND FOUNDATIONS, 2013, 53 (04) : 569 - 583
  • [17] A large permeameter for study of internal stability in cohesionless soils
    Moffat, Ricardo A.
    Fannin, R. Jonathan
    GEOTECHNICAL TESTING JOURNAL, 2006, 29 (04): : 273 - 279
  • [18] Research Progress in Methods for the Analysis of the Internal Stability of Landslide Dam Soils
    Zhang, Qianjin
    Chen, Qun
    Wan, Li
    Li, Xing
    Zhou, Yaming
    Cheng, Qizhuo
    APPLIED SCIENCES-BASEL, 2024, 14 (15):
  • [19] Internal cues for optimizing reproduction in a varying environment
    Law, Leo
    Xue, BingKan
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2023, 290 (1997)
  • [20] Network analysis of heat transfer in sands
    Fei, Wenbin
    Narsilio, Guillermo A.
    COMPUTERS AND GEOTECHNICS, 2020, 127