Prediction model for non-inversion soil tillage implemented on discrete element method

被引:36
|
作者
Lopez Bravo, Elvis [2 ]
Tijskens, Engelbert [1 ]
Herrera Suarez, Miguel [2 ]
Gonzalez Cueto, Omar [2 ]
Ramon, Herman [1 ]
机构
[1] Fac Biosci & Engn, Dept Biosyst, Div Mechatron Biostat & Sensors MeBioS, B-3001 Heverlee, Belgium
[2] Cent Univ Marta Abreu Las Villas, Fac Agr & Anim Sci, Dept Agr Engn, Villa Clara, Cuba
关键词
Modeling; Draft force; Soil behavior; Young's modulus; Friction; Cohesion; BULK-DENSITY; CLAY SOIL;
D O I
10.1016/j.compag.2014.05.007
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In the present study the discrete element method is used for predicting forces reactions and soil behavior during non-inversion tillage. The numerical model at particle level works with a force system integrated by normal, shear, cohesion and friction forces. Macro parameters are defined as the soil mechanical properties obtained by soil mechanical tests. The behavior of soil-soil and soil-metal interface at different dry bulk densities and gravimetric water contents were determined by modified direct shear box and triaxial compression tests. A set of statistical regression equations feasible to estimate the macro values of Young's modulus, shear strength, soil friction and soil cohesion were obtained. The relationship between macro and micro behavior of soil friction was investigated by means of the simulation of direct shear tests. The discrete soil model was used to simulate soil tillage at conditions called hard-thy, soft-wet and friable state. To calibrate the model, a soil-bin was filled with the soil previously characterized and equipped with a tool similar to the one used for the simulation. A National Instrument Data Logger system was configured aimed at measuring vertical and horizontal reaction forces. The comparison between draft forces from simulation and soil-bin tests showed a small under-predicted behavior of the model for loose soil with high moisture; this behavior was fixed toward compacted and dry soil conditions. Para-plough and moldboard were the tools used for non-inversion tillage simulation at different physical states of the soil. The result shows the pattern of movement and force distribution related with the geometry of the tool. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:120 / 127
页数:8
相关论文
共 50 条
  • [31] Non-Inversion Tillage as a Chance to Increase the Biodiversity of Ground-Dwelling Spiders in Agroecosystems: Preliminary Results
    Topa, Elzbieta
    Kosewska, Agnieszka
    Nietupski, Mariusz
    Trebicki, Lukasz
    Nicewicz, Lukasz
    Hajdamowicz, Izabela
    AGRONOMY-BASEL, 2021, 11 (11):
  • [32] Modelling of abrasive material loss at soil tillage via scratch test with the discrete element method
    Schramm, F.
    Kalacska, A.
    Pfeiffer, V
    Sukumaran, J.
    De Baets, P.
    Frerichs, L.
    JOURNAL OF TERRAMECHANICS, 2020, 91 : 275 - 283
  • [33] Soil compaction alleviation by deep non-inversion tillage and crop yield responses in no tilled soils of the Pampas region of Argentina. A meta-analysis
    Peralta, Guillermo
    Alvarez, Carina Rosa
    Taboada, Miguel Angel
    SOIL & TILLAGE RESEARCH, 2021, 211
  • [34] Construction and parameter calibration of the nonlinear elastoplastic discrete element model for no-tillage soil compaction
    Wang X.
    Zhong X.
    Geng Y.
    Wei Z.
    Hu H.
    Geng D.
    Zhang X.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2021, 37 (23): : 100 - 107
  • [35] Investigation on tillage resistance and soil disturbance in wet adhesive soil using discrete element method with three-layer soil-plough coupling model
    Li, Xun
    Luo, Zhitao
    Hao, Zhihao
    Zheng, Enlai
    Yao, Haoping
    Zhu, Yue
    Wang, Xiaochan
    POWDER TECHNOLOGY, 2024, 436
  • [36] Can non-inversion tillage and straw retainment reduce N leaching in cereal-based crop rotations?
    Hansen, E. M.
    Munkholm, L. J.
    Melander, B.
    Olesen, J. E.
    SOIL & TILLAGE RESEARCH, 2010, 109 (01): : 1 - 8
  • [37] Temperature Prediction of Icy Lunar Soil Sampling Based on the Discrete Element Method
    Zhao, Deming
    Peng, Tianyi
    Zhang, Weiwei
    Wang, He
    Cui, Jinsheng
    AEROSPACE, 2024, 11 (05)
  • [38] Prediction of soil-bulldozer blade interaction using discrete element method
    Franco, Y.
    Rubinstein, D.
    Shmulevich, I.
    TRANSACTIONS OF THE ASABE, 2007, 50 (02) : 345 - 353
  • [39] CALIBRATION OF DISCRETE ELEMENT PARAMETER OF SOIL IN HIGH-SPEED TILLAGE
    Li, Shaochuan
    Diao, Peisong
    Zhao, Yongli
    Miao, Hequan
    Li, Xianghao
    Zhao, Hongda
    INMATEH-AGRICULTURAL ENGINEERING, 2023, 71 (03): : 248 - 258
  • [40] Determination on Model Parameter of the Soil Particles Based on the Discrete Element Method
    Pan, Shi-Qiang
    Cao, Zi-Fu
    Yang, Yu-Lin
    Yu, Jian-Qun
    INTERNATIONAL CONFERENCE ON MECHANICS AND CONTROL ENGINEERING (MCE 2015), 2015, : 77 - 82