Size segregation under different gravity levels by using polyhedral particles

Wen, Tongge; Zeng, Xia; Li, Ziwen; Zhang, Yonglong

doi:10.1016/j.pss.2023.105634

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Then, the algorithm queries the triangular facets enveloped by the leaf BVs for overlap. The corresponding algorithm is consistent with the previous CPU code and is omitted here for simplicity (see Wen et al 2023;Zeng et al 2022 for more details). Finally, the contact force and torque of a pair of intersected triangular facets, i.e., active contact elements, can be obtained through Equation (2).…”

Section: Contact Detection By Using Lbvhmentioning

confidence: 95%

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Accelerating Polyhedral Discrete Element Method with CUDA

Wen,

Zeng

2023

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This paper presents an efficient CUDA-based implementation of a nonspherical discrete element method where irregular particles are described by using polyhedrons. Two strategies are employed to exploit the parallelism of the numerical method. One is to perform contact detection based on the contact pair level instead of the traditional particle level. The second is to reduce the computational burden of each kernel function by allocating thread blocks reasonably. Contact detection between potential contact pairs is the most complicated, time-consuming, and essential process for the polyhedral discrete element method. The linear bounding volume hierarchies are introduced to fix this issue. The hierarchies of the bounding volume tree are organized in a spatially coherent way. Such a structure can minimize branch divergence and is very suitable for parallel implementation with GPU. Two numerical examples are presented to show the performance of the code. It is found from the scenario of two sphere collision that improving the mesh resolution of polyhedral particles can reduce the computational error while slowing down the computational speed correspondingly. A trade-off must be made between accuracy and efficiency. The other example of self-gravitating aggregation demonstrates the code is convergent, stable, and highly efficient. Particularly, with a mainstream GPU, the proposed method easily performs hundreds of times faster than the serial CPU code that does the same function.

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Section: Contact Detection By Using Lbvhmentioning

confidence: 95%

“…The effective Youngʼs modulus E eff and effective shear modulus G eff are defined as half of the average of the two contacting bodies' modified Youngʼs modulus and modified shear modulus. Readers can refer toWen et al (2023),Zeng et al…”

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confidence: 99%

Accelerating Polyhedral Discrete Element Method with CUDA

Wen,

Zeng

2023

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Modeling and Trajectory Tracking Control for a Novel Multinode Flexible Small-Body Lander Based on a Port-Hamilton Framework

Chai,

Gong,

Mei

et al. 2024

Space Sci Technol

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Small bodies have the characteristics of noncooperative, irregular gravity, and complex terrain on the surface, which cause difficulties in successful landing for conventional landers. In this paper, a multinode flexible lander is put forward to address the problem. The dynamics of this new lander are constructed based on the port-Hamilton framework. The trajectory-tracking formation controller for the lander is designed in a passive way. The proposed dynamics and controller are further validated through numerical simulations. This research presents a fresh concept that holds inspiration for future design involving small-body landers.

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Size segregation under different gravity levels by using polyhedral particles

Cited by 2 publications

References 21 publications

Accelerating Polyhedral Discrete Element Method with CUDA

Accelerating Polyhedral Discrete Element Method with CUDA

Modeling and Trajectory Tracking Control for a Novel Multinode Flexible Small-Body Lander Based on a Port-Hamilton Framework

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