The application of artificial neural networks in estimating the pile bearing capacity

被引：0
|
作者：
Liu, H [1 ]
Li, TJ [1 ]
Zhang, YF [1 ]
机构：
[1] Chinese Acad Sci, Inst Rock & Soil Mech, Wuhan, Peoples R China
来源：
COMPUTER METHODS AND ADVANCES IN GEOMECHANICS, VOL 1 | 1997年
关键词：
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A system with neural networks kernel is utlized in the dynamic pile testing to determine the bearing capacity of pile foundation. Three steps are given to take to establish such a system Some effective results are shown to illustrate the application of this software. This paper also suggests a new way to solve the stochastic, fuzzy,high nonlinear problems encounted. in the rock and soil engineering.
引用
收藏
页码：635 / 638
页数：4
相关论文
共 50 条
  • [1] Prediction of pile bearing capacity using artificial neural networks
    Lee, IM
    Lee, JH
    COMPUTERS AND GEOTECHNICS, 1996, 18 (03) : 189 - 200
  • [2] Application of artificial neural networks for predicting the bearing capacity of the tip of a pile embedded in a rock mass
    Millan, M. A.
    Picardo, A.
    Galindo, R.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 124
  • [3] Development of Deep Learning Neural Network for Estimating Pile Bearing Capacity
    Tuan Anh Pham
    Duy Hung Nguyen
    Hong-Anh Thi Duong
    CIGOS 2021, EMERGING TECHNOLOGIES AND APPLICATIONS FOR GREEN INFRASTRUCTURE, 2022, 203 : 1815 - 1823
  • [4] Analysis of Ultimate Bearing Capacity of Single Pile Using the Artificial Neural Networks Approach: A Case Study
    Wardani, S. P. R.
    Surjandari, N. S.
    Jajaputra, A. A.
    CHALLENGES AND INNOVATIONS IN GEOTECHNICS: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON SOIL MECHANICS AND GEOTECHNICAL ENGINEERING, VOL 1, 2013, : 837 - 840
  • [5] Application of Artificial Neural Networks for Predicting the Bearing Capacity of Shallow Foundations on Rock Masses
    Millan, M. A.
    Galindo, R.
    Alencar, A.
    ROCK MECHANICS AND ROCK ENGINEERING, 2021, 54 (09) : 5071 - 5094
  • [6] Application of Artificial Neural Networks for Predicting the Bearing Capacity of Shallow Foundations on Rock Masses
    M. A. Millán
    R. Galindo
    A. Alencar
    Rock Mechanics and Rock Engineering, 2021, 54 : 5071 - 5094
  • [7] PHC Pile Bearing Capacity and Application
    Su, Erwei
    NEW MATERIALS AND PROCESSES, PTS 1-3, 2012, 476-478 : 759 - 762
  • [8] Application of Artificial Neural Networks for estimating index floods
    Simor, Viliam
    Hlavcova, Kamila
    Kohnova, Silvia
    Szolgay, Jan
    CONTRIBUTIONS TO GEOPHYSICS AND GEODESY, 2012, 42 (04): : 295 - 311
  • [9] DETERMINING THE PILE BEARING CAPACITY USE OF PDA TEST RESULTS AND NEURAL NETWORKS
    Jahromi, Saeed Ghaffarpour
    Sharafuddin, Mohammad
    ACTA GEOTECHNICA SLOVENICA, 2020, 17 (02): : 34 - 45
  • [10] CONTRIBUTION TO ESTIMATING BEARING CAPACITY OF PILE IN CLAYEY SOILS
    Drusa, Marian
    Gago, Filip
    Vlcek, Jozef
    CIVIL AND ENVIRONMENTAL ENGINEERING, 2016, 12 (02) : 128 - 136
12345