日本地球惑星科学連合2025年大会

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[E] 口頭発表

セッション記号 H (地球人間圏科学) » H-DS 防災地球科学

[H-DS07] 地すべりおよび関連現象

2025年5月30日(金) 13:45 〜 15:15 102 (幕張メッセ国際会議場)

コンビーナ:王 功輝(京都大学防災研究所)、齋藤 仁(名古屋大学 大学院環境学研究科)、千木良 雅弘(公益財団法人 深田地質研究所)、今泉 文寿(静岡大学農学部)、座長:土井 一生(京都大学防災研究所)、李 長澤(京都大学)

14:00 〜 14:15

[HDS07-14] Centroid aggregation-based boundary detection algorithm in 3D-SPH form for simulating debris-flow dynamics considering boundary frictional effect

*Wendu XIE1,2、Zheng HAN2Gonghui WANG1 (1.Kyoto University, Japan、2.Central South University, China)


キーワード: Rough channel, Boundary frictional interaction, Particlized frictional influence domain, CA-BD-SPH model, Parallel acceleration computation

The computation of boundary frictional interaction between debris-flow and rough channel beds is crucial for simulating debris-flow dynamic behavior, owing to its impact on the resulting flow velocity and deposition area. Until now, some boundary treatment methods have been proposed in the Smoothed-Particle-Hydrodynamics (SPH) method, such as the conventional Dynamic-Boundary-Conditions (DBC) and Boundary-Critical-Layer (BCL) methods, which are limited in the effective consideration of boundary friction over complex topography. In this work, instead of the fixed and predefined boundary critical layers in conventional methods, a concept of particlized frictional influence domain is defined, and a novel centroid aggregation-based boundary detection algorithm (CA-BD) embedded in the 3D-SPH framework is proposed. The algorithm captures the diverse interaction forms and computes mutual penetration between debris-flow particles and rough boundary particles, so that the frictional forces exerting on the debris-flow particles can be determined. Additionally, to enhance the computational efficiency, a CPU-OpenMP parallel acceleration framework is implemented. To validate the proposed model, a well-documented dam-break flow experiment and a debris-flow flume experiment are simulated, wherein the proposed model better reproduces the flow behavior compared to the DBC and BCL methods as observed in the experiments. Comparison on the computational efficiency indicates that the proposed model attains a 2.9 times acceleration factor than the CPU serial solution. Sensitivity analysis also reveals that the predefined length of the frictional influence domain lf has a significant influence and the value equating to the particle smoothing length h is suggested.