隧道工程围岩开挖渐进破坏近场动力学GPU高效算法

doi:10.3724/1000-6915.jrme.2025.0089

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Abstract Peridynamics (PD) encounters challenges in tunnel excavation simulations, primarily due to difficulties in determining fracture parameters, high memory consumption, and low computational efficiency. This study systematically investigates a parallel PD algorithm designed for progressive failure analysis of surrounding rock during tunnel excavation through theoretical analysis, algorithm development, and numerical experiments. The results indicate that the strain energy equivalence method for determining fracture parameters, derived from theoretical analysis and validated by numerical simulations, serves as a simplified alternative when fracture energy data is unavailable. Additionally, a GPU-accelerated algorithm based on a “point-pair” mapping strategy reduces memory usage by nearly 50% in large-scale three-dimensional models containing millions of particles, significantly improving computational efficiency by two to three orders of magnitude compared to serial implementations. Furthermore, the model, adjusted based on favorable agreement with field data from the Canadian Mine-by tunnel, analyzes the effects of the lateral pressure coefficient and tunnel cross-sectional shape on the evolution of damage and displacement fields in the surrounding rock. The findings confirm the applicability and potential of this efficient algorithm for engineering-scale problems, offering an effective and reliable computational tool for tunnel design and stability assessment of surrounding rock.

Key words： tunnelling engineering peridynamics efficient GPU algorithm failure analysis tunnel excavation

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	Articles by authors
	LIU Jiadian1
	2
	CHEN Weizhong1
	LIU Shenhua3

Cite this article:

LIU Jiadian1,2,CHEN Weizhong1, et al. The efficient GPU algorithm for peridynamics of progressive excavation damage of surrounding rock in tunnel engineering[J]. , 2025, 44(9): 2334-2344.

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https://rockmech.whrsm.ac.cn/EN/10.3724/1000-6915.jrme.2025.0089 OR https://rockmech.whrsm.ac.cn/EN/Y2025/V44/I9/2334

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