Modeling Shearing and Bending Behavior of Kiwifruit Branches Using the Discrete Element Method

被引:0
|
作者
Zhao, Hongbo [1 ]
Zheng, Zhiqi [1 ]
Tan, Ruihong [1 ]
Liu, Wenzheng [2 ]
Zhang, Zhiqiang [1 ]
机构
[1] Northwest A&F Univ, Coll Mech & Elect Engn, Xianyang 712100, Peoples R China
[2] Northwest A&F Univ, Coll Enol, Xianyang 712100, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 23期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
kiwifruit branch; DEM; shearing test; three-point bend test; parameter calibration; PARAMETER CALIBRATION; SIMULATION;
D O I
10.3390/app142310920
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Returning pruned branches into the field is a key procedure in kiwifruit cultivation. It utilizes discarded branches and aids in orchard management. Shearing and bending behaviors dominate the mechanized process of branch return; however, current research lacks appropriate modeling methods for these processes. In this study, we developed a discrete element method (DEM) model to simulate the shearing and bending behaviors of kiwifruit branches. Initially, laboratory experiments determined the shear strength and elastic modulus of branch samples to be 31.38 MPa and 1.21 GPa, respectively. An annular kiwifruit branch DEM model was constructed. A Plackett-Burman design test identified significant influencing factors: effective modulus of bond, bond cohesion, effective modulus between ball and wall, and the normal-to-shear stiffness ratio. Utilizing the response surface method, we derived relationships between DEM parameters and mechanical responses. Optimal parameter combinations were found: an effective modulus of bond at 2.2 x 109 Pa, bond cohesion at 2.56 x 108 Pa, effective modulus between ball and wall at 1.27 x 108 Pa, and a normal-to-shear stiffness ratio of 1.16. Finally, simulations of the shearing and bending processes were conducted. The optimal parameter combination was verified with a relative error of 4.5%. Displacement-force curves showed general consistency, indicating reliability in the modeling approach.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Impact of Particle Size Distribution on Drained Shearing Response of Saturated Clays Using Discrete Element Method
    Jaradat, Karam A.
    Abdelaziz, Sherif L.
    MODELING, GEOMATERIALS, AND SITE CHARACTERIZATION (GEO-CONGRESS 2020), 2020, (317): : 302 - 310
  • [32] A combined approach for modeling particle behavior in granular impact damper using discrete element method and cellular automata
    Komatsuzaki, Toshihiko
    Iwata, Yoshio
    INTERNATIONAL JOURNAL OF MECHANICS AND MATERIALS IN DESIGN, 2017, 13 (03) : 407 - 417
  • [33] Numerical simulation of creep behavior of clay using discrete element method
    Shahabi, Hossein
    Mirghasemi, Ali Asghar
    Khabazian, Moein
    POWDER TECHNOLOGY, 2024, 432
  • [34] Evaluation of sand–geomembrane interface behavior using discrete element method
    Abdulmuttalip Ari
    Suat Akbulut
    Granular Matter, 2022, 24
  • [35] A combined approach for modeling particle behavior in granular impact damper using discrete element method and cellular automata
    Toshihiko Komatsuzaki
    Yoshio Iwata
    International Journal of Mechanics and Materials in Design, 2017, 13 : 407 - 417
  • [36] Seismic Behavior of the Cube of Zoroaster Tower Using the Discrete Element Method
    Tavafi, Elham
    Mohebkhah, Amin
    Sarhosis, Vasilis
    INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE, 2021, 15 (08) : 1097 - 1112
  • [37] Evaluation of Fatigue Behavior of Asphalt Field Cores Using Discrete Element Modeling
    Xiao, Min
    Chen, Yu
    Feng, Haohao
    Huang, Tingting
    Xiong, Kai
    Zhu, Yaoting
    MATERIALS, 2024, 17 (13)
  • [38] Evaluating the influence of particle shape on liquefaction behavior using discrete element modeling
    Ashmawy, AK
    Sukumaran, B
    Hoang, VV
    PROCEEDINGS OF THE THIRTEENTH (2003) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 2, 2003, : 542 - 549
  • [39] Effect of Ballast Degradation on Track Dynamic Behavior Using Discrete Element Modeling
    Liu, Zhongyi
    Feng, Bin
    Tutumluer, Erol
    TRANSPORTATION RESEARCH RECORD, 2022, 2676 (08) : 452 - 462
  • [40] Modeling of Magnetorheological Fluids by the Discrete Element Method
    Kargulewicz, Mickael
    Iordanoff, Ivan
    Marrero, Victor
    Tichy, John
    JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME, 2012, 134 (03):