Parameter calibration and experiment of maize straw double-layer flexible model based on discrete element method

doi:10.3969/j.issn.1004-1524.20250269

Acta Agriculturae Zhejiangensis ›› 2026, Vol. 38 ›› Issue (7): 1471-1480.DOI: 10.3969/j.issn.1004-1524.20250269

• Biosystems Engineering • Previous Articles Next Articles

Parameter calibration and experiment of maize straw double-layer flexible model based on discrete element method

SHI Rongxu(), SONG Xuefeng^*(), ZHANG Fengwei, DAI Fei

Mechanical and Electrical Engineering College, Gansu Agricultural University, Lanzhou 730070, China

Received:2025-04-01 Online:2026-07-25 Published:2026-08-20

Abstract

Abstract:

To improve the accuracy of the parameters used in the discrete element simulation study of maize straw processing, this study took the straw of maize variety Dajingjiu 26 planted in Gansu Province as the research object, and used a combination of physical experiments and simulation analysis to calibrate the model parameters of the maize straw double-layer flexible model. First, the Plackett-Burman experiment was applied to screen the initial parameters of the double-layer flexible model of maize straw. The variance analysis results showed that the pith elastic ratio, rind elastic ratio, and rind plastic ratio of maize straw had a significant (p<0.05) impact on the axial compression critical fracture load of maize straw. Secondly, using the critical fracture load as the evaluation index, a quadratic polynomial regression model was established with the steepest ascent and Box-Behnken test to determine the critical fracture load and the above three parameters. Taking the actual critical fracture load of 2 235.76 N obtained from physical experiments as the target value, parameter optimization was performed, yielding an optimal parameter combination of 0.859 for pith elastic ratio, 0.848 for rind elastic ratio, and 0.869 for rind plastic ratio. Finally, a double-layer flexible model of maize straw was constructed under this parameter combination, and axial compression, radial compression, and shear tests of maize straw were compared. The research results showed that the relative error of the critical fracture load between the simulation and physical test of axial compression was 0.55%, the relative error of the critical fracture load between the simulation and physical test of radial compression was 6.87%, and the relative error of the critical shear force between the simulation and physical test of shear was 8.50%. The trend of straw stress variation was basically consistent, indicating that the optimal parameter combination is feasible and accurate. The calibrated double-layer flexible model provides theoretical references for the design optimization of maize straw processing equipment.

Key words: maize straw, discrete element method, double-layer flexible model, parameter calibration, experimental validation

CLC Number:

SHI Rongxu, SONG Xuefeng, ZHANG Fengwei, DAI Fei. Parameter calibration and experiment of maize straw double-layer flexible model based on discrete element method[J]. Acta Agriculturae Zhejiangensis, 2026, 38(7): 1471-1480.

Figures/Tables 9

References 28

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序号 No.	各因素的设定值 Setting value of each factor			破裂临界载荷/N Critical fracture load/N	相对误差/% Relative error/%
序号 No.	A	D	E	破裂临界载荷/N Critical fracture load/N	相对误差/% Relative error/%
1	0.70	0.70	0.70	1 627.36	27.21
2	0.75	0.75	0.75	1 810.82	19.01
3	0.80	0.80	0.80	1 934.51	13.47
4	0.85	0.85	0.85	2 209.24	1.37
5	0.90	0.90	0.90	2 351.53	5.18
6	0.95	0.95	0.95	2 446.78	9.44

序号 No.	各因素的设定值 Setting value of each factor			破裂临界载荷/N Critical fracture load/N	相对误差/% Relative error/%
序号 No.	A	D	E	破裂临界载荷/N Critical fracture load/N	相对误差/% Relative error/%
1	0.70	0.70	0.70	1 627.36	27.21
2	0.75	0.75	0.75	1 810.82	19.01
3	0.80	0.80	0.80	1 934.51	13.47
4	0.85	0.85	0.85	2 209.24	1.37
5	0.90	0.90	0.90	2 351.53	5.18
6	0.95	0.95	0.95	2 446.78	9.44

序号 No.	各因素的设定水平 Setting level of each factor			破裂临界载荷/N Critical fracture load/N
序号 No.	A	D	E	破裂临界载荷/N Critical fracture load/N
1	1	0	-1	2 140.77
2	0	0	0	2 205.37
3	1	1	0	2 300.97
4	0	1	1	2 320.36
5	0	0	0	2 209.85
6	0	-1	-1	1 951.44
7	-1	0	-1	2 109.01
8	-1	1	0	2 211.26
9	0	0	0	2 216.11
10	0	0	0	2 224.95
11	-1	0	1	2 179.65
12	0	-1	1	2 041.99
13	1	-1	0	2 029.04
14	0	0	0	2 242.57
15	0	1	-1	2 232.54
16	1	0	1	2 235.85
17	-1	-1	0	1 988.69

序号 No.	各因素的设定水平 Setting level of each factor			破裂临界载荷/N Critical fracture load/N
序号 No.	A	D	E	破裂临界载荷/N Critical fracture load/N
1	1	0	-1	2 140.77
2	0	0	0	2 205.37
3	1	1	0	2 300.97
4	0	1	1	2 320.36
5	0	0	0	2 209.85
6	0	-1	-1	1 951.44
7	-1	0	-1	2 109.01
8	-1	1	0	2 211.26
9	0	0	0	2 216.11
10	0	0	0	2 224.95
11	-1	0	1	2 179.65
12	0	-1	1	2 041.99
13	1	-1	0	2 029.04
14	0	0	0	2 242.57
15	0	1	-1	2 232.54
16	1	0	1	2 235.85
17	-1	-1	0	1 988.69

Parameter calibration and experiment of maize straw double-layer flexible model based on discrete element method

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Figures/Tables 9

References 28

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序号 No.	各因素的设定水平Setting level for different factors							破裂临界载荷/N Critical fracture load/N
序号 No.	A	B	C	D	E	F	G	破裂临界载荷/N Critical fracture load/N
1	-1	-1	-1	1	-1	1	1	2 030.14
2	1	-1	1	1	-1	1	1	2 164.87
3	-1	-1	1	-1	1	1	-1	2 088.23
4	1	-1	1	1	1	-1	-1	2 418.19
5	-1	1	1	1	-1	-1	-1	2 051.58
6	-1	1	1	-1	1	1	1	1 943.17
7	-1	-1	-1	-1	-1	-1	-1	1 902.05
8	1	-1	-1	-1	1	-1	1	2 173.64
9	1	1	-1	-1	-1	1	-1	1 852.11
10	-1	1	-1	1	1	-1	1	2 340.54
11	1	1	1	-1	-1	-1	1	1 855.68
12	1	1	-1	1	1	1	-1	2 335.36

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