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Characterization of soybeans and calibration of their DEM input parameters

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Hang Jing, Xu Guo & Pengfei Yang. (2024) PFC–FLAC coupling-based numerical simulation of triaxial test on soybean granular material. Particulate Science and Technology 42:4, pages 527-540.
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Tien-Thinh Le. (2022) Practical machine learning-based prediction model for axial capacity of square CFST columns. Mechanics of Advanced Materials and Structures 29:12, pages 1782-1797.
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Articles from other publishers (11)

Zongyou Ben, Xiao Sun, Yu Bai, Duoxing Yang, Kunjie Chen & Yan Dong. (2024) Parameter calibration of discrete element model for gluten densification molding. Journal of Food Science.
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Xinting Ding, Binbin Wang, Zhi He, Yinggang Shi, Kai Li, Yongjie Cui & Qichang Yang. (2023) Fast and precise DEM parameter calibration for Cucurbita ficifolia seeds. Biosystems Engineering 236, pages 258-276.
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Jinming Zheng, Lin Wang, Xiaochan Wang, Yinyan Shi & Zhenyu Yang. (2023) Parameter Calibration of Cabbages (Brassica oleracea L.) Based on the Discrete Element Method. Agriculture 13:3, pages 555.
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Tien-Thinh Le, Thong Chung Nguyen, Xuan Son Nguyen, Huan Thanh Duong, Lu Minh Le, Anh Tu Nguyen & Van Hai Nguyen. 2023. Advances in Engineering Research and Application. Advances in Engineering Research and Application 412 418 .
Dongxu Yan, Jianqun Yu, Yang Wang, Kai Sun, Long Zhou, Ye Tian & Na Zhang. (2022) Measurement and Calibration of DEM Parameters of Soybean Seed Particles. Agriculture 12:11, pages 1825.
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Guiju Fan, Siyu Wang, Wenjie Shi, Zhenfeng Gong & Ming Gao. (2022) Simulation Parameter Calibration and Test of Typical Pear Varieties Based on Discrete Element Method. Agronomy 12:7, pages 1720.
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Haozhou Ma, Xuewen Wang, Bo Li, Zisheng Wang, Chao Liang & Qingbao Bao. (2021) Calibration of discrete element microparameters of coal based on the response surface method. Particulate Science and Technology 40:5, pages 543-557.
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Dongxu Yan, Jianqun Yu, Yang Wang, Long Zhou, Kai Sun & Ye Tian. (2022) A Review of the Application of Discrete Element Method in Agricultural Engineering: A Case Study of Soybean. Processes 10:7, pages 1305.
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Tien-Thinh Le & Hieu Chi Phan. (2020) Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method. Advances in Civil Engineering 2020, pages 1-16.
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Quang Hung Nguyen, Hai-Bang Ly, Van Quan Tran, Thuy-Anh Nguyen, Viet-Hung Phan, Tien-Thinh Le & Binh Thai Pham. (2020) A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns. Molecules 25:15, pages 3486.
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Jian Xu, Xiaoming Wang, Zhenbang Zhang & Weibin Wu. (2020) Discrete Element Modeling and Simulation of Soybean Seed Using Multi-Spheres and Super-Ellipsoids. IEEE Access 8, pages 222672-222683.
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