Analysis and Optimisation of Obstacle‐Crossing Performance of Electric Shovel Based on DEM‐MBD Coupling Method

ABSTRACT To study and enhance the obstacle‐crossing performance of the electric shovel, an obstacle‐crossing model that employs a coupling methodology integrating the discrete element method (DEM) and multi‐body dynamics (MBD) is constructed. Secondly, the influence of grouser height (GH), track velocity (TV), slope inclination (SI) and slope height (SH) on obstacle‐crossing performance is investigated through DEM‐MBD simulation, with the objective of obtaining an obstacle‐crossing surrogate model through the Kriging method and Box‐Behnken experimental design. On this basis, two optimisation solutions for the obstacle‐crossing performance of the electric shovel are proposed based on a genetic algorithm (GA), and the corresponding obstacle‐crossing performances are analysed. The results demonstrate that the coupling effect between SI and SH exerts a considerable influence on the ground pressure coefficient (GPC), power and disturbance potential energy (DPE). When the optimal TV and GH are set at 0.1 m/s and 9.38 mm, the GPC, power and disturbance kinetic energy (DKE) are observed to diminish to varying degrees, thereby indicating that the obstacle‐crossing performance of the electric shovel has been enhanced.

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Publication Details

Journal
International Journal for Numerical and Analytical Methods in Geomechanics
Published
2024-12-26
DOI
https://doi.org/10.1002/nag.3927
Citations
2
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.52

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article

Analysis and Optimisation of Obstacle‐Crossing Performance of Electric Shovel Based on DEM‐MBD Coupling Method

Zeren Chen, Ruibin Li, Guoqiang Wang, Zhengbin Liu et al.
2 citations
International Journal for Numerical and Analytical Methods in Geomechanics
Soil Mechanics and Vehicle Dynamics
0.52
article

Analysis and Optimisation of Obstacle‐Crossing Performance of Electric Shovel Based on DEM‐MBD Coupling Method

Zeren Chen, Ruibin Li, Guoqiang Wang, Zhengbin Liu, Wei Guan, Guang Li
article en
2 citations

Abstract

ABSTRACT To study and enhance the obstacle‐crossing performance of the electric shovel, an obstacle‐crossing model that employs a coupling methodology integrating the discrete element method (DEM) and multi‐body dynamics (MBD) is constructed. Secondly, the influence of grouser height (GH), track velocity (TV), slope inclination (SI) and slope height (SH) on obstacle‐crossing performance is investigated through DEM‐MBD simulation, with the objective of obtaining an obstacle‐crossing surrogate model through the Kriging method and Box‐Behnken experimental design. On this basis, two optimisation solutions for the obstacle‐crossing performance of the electric shovel are proposed based on a genetic algorithm (GA), and the corresponding obstacle‐crossing performances are analysed. The results demonstrate that the coupling effect between SI and SH exerts a considerable influence on the ground pressure coefficient (GPC), power and disturbance potential energy (DPE). When the optimal TV and GH are set at 0.1 m/s and 9.38 mm, the GPC, power and disturbance kinetic energy (DKE) are observed to diminish to varying degrees, thereby indicating that the obstacle‐crossing performance of the electric shovel has been enhanced.

International Journal for Numerical and Analytical Methods in GeomechanicsVol. 49(4)
Jilin University (CN), Taiyuan Heavy Industry (China) (CN), Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 34%
Soil Mechanics and Vehicle Dynamics
0.52
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