Comparison of intact rock failure criteria using various statistical methods

被引:0
|
作者
Sarat Kumar Das
Prabir Kumar Basudhar
机构
[1] National Institute of Technology Rourkela,Department of Civil Engineering
[2] Indian Institute of Technology Kanpur,undefined
来源
Acta Geotechnica | 2009年 / 4卷
关键词
Least median square method; Least square method; Parameter estimation; Re-weighted least square method; Rock failure criteria;
D O I
暂无
中图分类号
学科分类号
摘要
This paper compares four different rock failure criteria based on triaxial test data of ten different rock strength data using various statistical methods. Least square, least median square and re-weighted least square techniques are used to determine the best fit parameters utilizing the experimental data that describes the failure state for each criterion. The least median square method could identify the scattered data and these scattered data points are observed at higher confining stress. It was observed that the fitting of failure criteria to different rock strength data depends upon the statistical methods used. The prediction of unconfined compressive strength and failure strength for different rocks estimated using various statistical methods are discussed in terms of different statistical performances of the prediction.
引用
收藏
页码:223 / 231
页数:8
相关论文
共 50 条
  • [41] Precursors to rock failure in the laboratory using ultrasonic monitoring methods
    Veltmeijer, Aukje
    Naderloo, Milad
    Barnhoorn, Auke
    [J]. GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES, 2024, 10 (01)
  • [42] Predicting Business Failure Using Neural Networks: An Empirical Comparison with Statistical Methods and Data Mining Method
    Allozi, Yaser
    Abbod, Maysam
    [J]. PROGRESSES IN ARTIFICIAL INTELLIGENCE & ROBOTICS: ALGORITHMS & APPLICATIONS, 2022, : 146 - 156
  • [43] Heterogeneous Rock Simulation Using DIP-Micromechanics-Statistical Methods
    Molladavoodi, H.
    RahimiRezaei, Y.
    [J]. ADVANCES IN CIVIL ENGINEERING, 2018, 2018
  • [44] Assessment of characteristic failure envelopes for intact rock using results from triaxial tests
    Muralha, J.
    Lamas, L.
    [J]. ROCK ENGINEERING AND ROCK MECHANICS: STRUCTURES IN AND ON ROCK MASSES, 2014, : 1525 - 1530
  • [45] Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods
    Zheng, Jinhuo
    Shen, Minglong
    Motahari, Mohammad Reza
    Khajehzadeh, Mohammad
    [J]. PERIODICA POLYTECHNICA-CIVIL ENGINEERING, 2023, 67 (03): : 902 - 913
  • [46] Evaluation of Soft Computing Methods for Estimating Tangential Young Modulus of Intact Rock Based on Statistical Performance Indices
    Koken, Ekin
    Kadakci Koca, Tumay
    [J]. GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2022, 40 (07) : 3619 - 3631
  • [47] Evaluation of Soft Computing Methods for Estimating Tangential Young Modulus of Intact Rock Based on Statistical Performance Indices
    Ekin Köken
    Tümay Kadakçı Koca
    [J]. Geotechnical and Geological Engineering, 2022, 40 : 3619 - 3631
  • [48] Comparison of prediction performance using statistical postprocessing methods
    Keunhee Han
    JunTae Choi
    Chansoo Kim
    [J]. Asia-Pacific Journal of Atmospheric Sciences, 2016, 52 : 495 - 507
  • [49] Comparison of prediction performance using statistical postprocessing methods
    Han, Keunhee
    Choi, JunTae
    Kim, Chansoo
    [J]. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2016, 52 (05) : 495 - 507
  • [50] Comparative analysis of impact failure modes between slotted rock and intact rock
    Wang, Huajian
    Liao, Hualin
    Niu, Wenlong
    Peng, Jianming
    He, Yuhang
    [J]. GEOTHERMICS, 2023, 114