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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic

Fandi Zeng¹, Hongwei Diao¹, Yinzeng Liu¹

¹College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China.

Sensors (Basel, Switzerland)

|August 29, 2024

Summary

This study calibrated maize straw simulation parameters using physical experiments, virtual simulation, and machine learning. Optimal parameters improve the accuracy of maize straw breaking equipment design.

Keywords:

DEM GA–BP maize straw neural network peak compression force

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Area of Science:

Agricultural Engineering
Computational Mechanics
Material Science

Background:

Accurate simulation models are crucial for designing maize straw-breaking equipment.
Existing models lack precise parameters for maize straw's complex mechanical behavior.

Purpose of the Study:

To calibrate simulation parameters for maize straw using a multi-disciplinary approach.
To improve the accuracy of virtual simulations in predicting maize straw behavior during mechanical processing.

Main Methods:

Established a bimodal-distribution discrete element model for maize straw.
Utilized physical experiments to measure intrinsic and contact parameters.
Employed Plackett-Burman and steepest-climb tests for parameter significance analysis.
Developed a GA-BP neural network for peak compression force prediction.

Main Results:

Identified Poisson ratio, shear modulus, and normal stiffness as significant parameters affecting peak compression force.
Determined optimal parameter ranges: Poisson ratio (0.32-0.36), shear modulus (1.24–1.72 × 10⁸ Pa), and normal stiffness (5.9–6.7 × 10⁶ N/m³).
Achieved high accuracy with a GA-BP model, predicting optimal parameters: Poisson ratio (0.357), shear modulus (1.511 × 10⁸ Pa), and normal stiffness (6.285 × 10⁶ N/m³).

Conclusions:

The integrated approach successfully calibrated maize straw simulation parameters.
Accurate simulation parameters enhance the design of maize straw-breaking equipment.
Findings provide a foundation for analyzing maize straw grinding and damage mechanisms.