A three-dimensional mechanistic-empirical model for geocell-reinforced unpaved roads

被引:0
|
作者
Xiaoming Yang
Jie Han
Dov Leshchinsky
Robert L. Parsons
机构
[1] Oklahoma State University,School of Civil and Environmental Engineering
[2] University of Kansas,Department of Civil, Environmental, and Architectural Engineering
[3] University of Delaware,Department of Civil and Environmental Engineering
来源
Acta Geotechnica | 2013年 / 8卷
关键词
Geocell; Mechanistic-empirical model; Numerical analysis; Reinforced base; Unpaved road;
D O I
暂无
中图分类号
学科分类号
摘要
Geocell is a three-dimensional geosynthetic product that was originally developed to confine granular bases and minimize permanent deformation of unpaved roads. Many laboratory and field tests have demonstrated the effectiveness of geocell reinforcement in roadway constructions. However, the lack of a well-established design method that can quantify the benefit of geocell reinforcement has greatly limited the application of geocell in roadways. This paper presents the development of a three-dimensional mechanistic-empirical (M-E) model for geocell-reinforced unpaved roads. The constitutive equation for the tangential resilient modulus of the base material was derived under a general three-dimensional condition. Two analytical models were introduced to estimate the compaction- and repeated load-induced residual stresses in the base layer. These analytical models consider the material properties and construction effects in a rational way thus can be used for various situations. Finally, the proposed M-E model was validated against the test results from four unpaved road sections. Comparisons between the calculated results and the test data show that the three-dimensional M-E model effectively simulated the permanent deformation behavior of geocell-reinforced unpaved roads under a large number of load repetitions, given that the unpaved road was stable under a repeated load.
引用
收藏
页码:201 / 213
页数:12
相关论文
共 50 条
  • [41] Freeze–Thaw Effects on Mechanical Behavior of Geocell-Reinforced Sands from Element and Model Tests
    Mian Huang
    Cheng Lin
    Sanat K. Pokharel
    International Journal of Geosynthetics and Ground Engineering, 2021, 7
  • [42] Mechanistic-empirical rut prediction model for in-service pavements
    Kim, HB
    Buch, N
    Park, DY
    ISSUES IN PAVEMENT DESIGN AND REHABILITATION: PAVEMENT DESIGN MANAGEMENT AND PERFORMANCE, 2000, (1730): : 99 - 109
  • [43] A Hybrid Mechanistic-Empirical Model for the Accumulation of Lead in Household Dust
    Henning, C.
    Murphy, D.
    Pekar, Z.
    Lee, M.
    EPIDEMIOLOGY, 2008, 19 (06) : S134 - S134
  • [44] Mechanistic-empirical approach to characterizing permanent deformation of reinforced soft soil subgrade
    Tang, Xiaochao
    Stoffels, Shelley M.
    Palomino, Angelica M.
    GEOTEXTILES AND GEOMEMBRANES, 2016, 44 (03) : 429 - 441
  • [45] Development of a mechanistic-empirical structural design procedure for continuously reinforced concrete pavements
    Selezneva, O
    Rao, C
    Darter, MI
    Zollinger, D
    Khazanovich, L
    PAVEMENT DESIGN AND ACCELERATED TESTING 2004, 2004, (1896): : 46 - 56
  • [46] A Mechanistic-Empirical Model to Predict Suction Profile in Subgrade Soil
    Javid, Amir Hossein
    Bulut, Rifat
    TRAN-SET 2020: PROCEEDINGS OF THE TRAN-SET CONFERENCE 2020, 2021, : 87 - 99
  • [47] Development of a mechanistic-empirical model to characterize rutting in flexible pavements
    Chen, JS
    Lin, CH
    Stein, E
    Hothan, J
    JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 2004, 130 (04): : 519 - +
  • [48] Calibration of mechanistic-empirical rutting model for in-service pavements
    Ali, HA
    Tayabji, SD
    La Torre, F
    DESIGN AND REHABILITATION OF PAVEMENTS 1998, 1998, (1629): : 159 - 168
  • [49] Mechanistic-Empirical Pavement Design for Low-Volume Roads Impacted by Freeze-Thaw
    Orr, David P.
    Scott, Geoffrey R.
    Kuzmik, Nick
    TRANSPORTATION RESEARCH RECORD, 2023,
  • [50] Dataset of three-dimensional traces of roads
    Javier Ariza-Lopez, Francisco
    Tomas Mozas-Calvache, Antonio
    Antonio Urena-Camara, Manuel
    Gil de la Vega, Paula
    SCIENTIFIC DATA, 2019, 6 (1)