THE DETERMINATION OF PLOUGH DRAFT .1. PREDICTION FROM SOIL AND METEOROLOGICAL DATA WITH CONE INDEX AS THE SOIL STRENGTH PARAMETER

被引:0
|
作者
OSKOUI, KE
WITNEY, BD
机构
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
引用
收藏
页码:97 / 106
页数:10
相关论文
共 26 条
  • [1] THE DETERMINATION OF PLOUGH DRAFT .2. THE MEASUREMENT AND PREDICTION OF PLOUGH DRAFT FOR 2 MOULDBOARD SHAPES IN 3 SOIL SERIES
    OSKOUI, KE
    RACKHAM, DH
    WITNEY, BD
    [J]. JOURNAL OF TERRAMECHANICS, 1982, 19 (03) : 153 - 164
  • [2] Determination of soil density by cone index data
    Pillinger, Gyorgy
    Geczy, Attila
    Hudoba, Zoltan
    Kiss, Peter
    [J]. JOURNAL OF TERRAMECHANICS, 2018, 77 : 69 - 74
  • [3] Investigation of the predictability of mouldboard plough draught from soil mechanical strength (cone index vs. shear strength) using finite element modelling
    Naderi-Boldaji, Mojtaba
    Karparvarfard, Seyed Hossein
    Azimi-Nejadian, Hadi
    [J]. JOURNAL OF TERRAMECHANICS, 2023, 108 : 21 - 31
  • [4] ANN based prediction of shear strength of soil from their index properties
    Birla Institute of Technology, Ranchi
    Jharkhand, India
    [J]. Intl. J. Earth Sci. Eng., 5 (2195-2202):
  • [5] Prediction of Shear Strength Parameter from the Particle Size Distribution and Relative Density of Granular Soil
    Sharma, Vaibhav
    Kumar, Arvind
    Priyadarshee, Akash
    Chhotu, Anil Kumar
    [J]. ENVIRONMENTAL GEOTECHNOLOGY (EGRWSE 2018), 2019, 31 : 185 - 191
  • [6] MICROBIOLOGICAL AND BIOCHEMICAL-CHARACTERIZATION OF AGRICULTURAL SOILS .1. DETERMINATION OF A SOIL MICROBIOLOGICAL INDEX
    BECK, T
    [J]. ZEITSCHRIFT FUR PFLANZENERNAHRUNG UND BODENKUNDE, 1984, 147 (04): : 456 - 466
  • [7] Analytical Approach for Determination of Soil Shear Strength Parameters from CPT and CPTu Data
    Motaghedi, Hossein
    Eslami, Abolfazl
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2014, 39 (06) : 4363 - 4376
  • [8] Analytical Approach for Determination of Soil Shear Strength Parameters from CPT and CPTu Data
    Hossein Motaghedi
    Abolfazl Eslami
    [J]. Arabian Journal for Science and Engineering, 2014, 39 : 4363 - 4376
  • [9] Predicting Undrained Shear Strength Of Soil From Cone Penetration Test Data Applying Optimized RBF Approaches
    Chen, Haojie
    Yan, Gongxing
    Li, Jie
    Cui, Haiyan
    Yao, Xiaolin
    [J]. JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2023, 26 (01): : 121 - 130
  • [10] Exploring Artificial Neural Network to Evaluate the Undrained Shear Strength of Soil from Cone Penetration Test Data
    Abu-Farsakh, Murad Y.
    Mojumder, Md Ariful Hassan
    [J]. TRANSPORTATION RESEARCH RECORD, 2020, 2674 (04) : 11 - 22