Hierarchical response surface method for reliability analysis of a pile-slope system

被引:4
|
作者
Zhang, Jie [1 ]
Wu, Chenguang [1 ]
Tan, Xiaohui [2 ]
Huang, Hongwei [1 ]
机构
[1] Tongji Univ, Dept Geotech Engn, Key Lab Geotech & Underground Engn, Minist Educ, 1239 Siping Rd, Shanghai 200092, Peoples R China
[2] Hefei Univ Technol, Sch Resources & Environm Engn, Hefei 230009, Peoples R China
基金
中国国家自然科学基金;
关键词
system reliability; stabilizing piles; slopes; response surface method; STABILIZING PILES; DESIGN; BEHAVIOR; ROW;
D O I
10.1139/cgj-2022-0150
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Stabilizing piles have been widely used as an effective measure to reinforce slopes. In this paper, a hierarchical response surface method is presented to evaluate the reliability of a pile-slope system efficiently. The suggested method can be used to identify the minimum reliability indexes of different types of failure modes. It can also be used to identify the representative failure modes governing the failure probability of the pile-slope system. This study found that the most critical sliding surface of an unreinforced slope and a reinforced slope is different. It may be nonconservative to design a pile-slope system according to the representative sliding surface of the slope without reinforcements. Even if many failure modes may exist, the reliability index of the pile-slope system is often controlled by several representative failure modes. For the slope examined in this paper, the reliability index of the pile-slope system is controlled by the reliability index of first representative failure mode. The first representative failure mode may vary with the reinforcement ratio, pile length, pile spacing, and location of the piles. The approach presented in this study provides a practical means to quantify the effect of such factors on the design of a pile-slope system.
引用
收藏
页码:397 / 409
页数:13
相关论文
共 50 条
  • [41] An improved response surface method for reliability analysis of structures
    Basaga, Hasan Basri
    Bayraktar, Alemdar
    Kaymaz, Irfan
    STRUCTURAL ENGINEERING AND MECHANICS, 2012, 42 (02) : 175 - 189
  • [42] Advanced response surface method for mechanical reliability analysis
    Zhen-zhou Lü
    Jie Zhao
    Zhu-feng Yue
    Applied Mathematics and Mechanics, 2007, 28 : 19 - 26
  • [43] An intelligent response surface method for analyzing slope reliability based on Gaussian process regression
    Zhu, Bin
    Pei, Huafu
    Yang, Qing
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2019, 43 (15) : 2431 - 2448
  • [44] Calculation method of earth slope reliability based on response surface method and morgenstern-price procedure
    Institute of Geotechnical Engineering, Hunan University, Changsha 410082, China
    不详
    Gongcheng Lixue, 2008, 10 (166-172):
  • [45] Multiple response surfaces for slope reliability analysis
    Li, Liang
    Chu, Xuesong
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2015, 39 (02) : 175 - 192
  • [46] Pseudostatic Seismic Response Analysis of a Pile Group in a Soil Slope
    Elahi, H.
    Poulos, H. G.
    Hajimollaali, H.
    Elahi, A.
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2018, 36 (02) : 855 - 874
  • [47] Reliability analysis of the pile shaft of bridge pile foundation structure system
    Wan, Shiming
    Zhao, Shanrui
    Huang, Guangsheng
    2000, Sci Publ House (35):
  • [48] Numerical analysis for reinforcement response of pile in stratified rock slope
    Xu, Ai-Min
    Liu, Qun-Yi
    Zhu, Zi-Qiang
    Lu, Guang-Yin
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2011, 42 (08): : 2453 - 2458
  • [49] 3D slope reliability analysis based on the intelligent response surface methodology
    Song, LaiFu
    Yu, Xiang
    Xu, Bin
    Pang, Rui
    Zhang, ZeYu
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2021, 80 (02) : 735 - 749
  • [50] 3D slope reliability analysis based on the intelligent response surface methodology
    LaiFu Song
    Xiang Yu
    Bin Xu
    Rui Pang
    ZeYu Zhang
    Bulletin of Engineering Geology and the Environment, 2021, 80 : 735 - 749