App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Density-aware adaptive parallel pbf fluid simulation method

Zou Changjun
Li Xirun
Mou Yuanjin
Luo Hui
School of Information and Software Engineering, East China Jiaotong University, Nanchang 330013, China
DOI: 10.19734/j.issn.1001-3695.2025.11.0485

Abstract

Traditional Position-Based Fluids (PBF) methods suffer from interpolation inaccuracies and computational inefficiency due to fixed smoothing lengths. To address these issues, this study proposed an adaptive smoothing length model driven by density awareness and implemented its full-stream parallel acceleration on Graphics Processing Units (GPUs) . By integrating two key metrics—local neighbor count and density error—the model dynamically adjusts the smoothing length of each particle. This effectively mitigates surface distortion in sparse regions caused by insufficient interpolation and reduces performance degradation in dense regions from computational redundancy. A symmetry handling mechanism based on maximum smoothing length and an efficient spatial hashing neighbor search algorithm were designed to resolve the asymmetry issue introduced by dynamic smoothing lengths. Experimental results across various scenarios, including dam breaks and falling droplets, demonstrate that the proposed method maintains numerical stability while significantly improving computational efficiency. The optimal strategy achieved up to 91.91× speedup in a droplet scene with 300, 592 particles and up to 79.51× speedup in a dam-break scene with 407, 885 particles compared to the Central Processing Unit (CPU) serial implementation. Moreover, a significant reduction in the variance of particle neighbor counts was observed, indicating enhanced system stability.

Foundation Support

国家自然科学基金资助项目(62162027)
江西省高校人文社会科学研究项目(JC24205)
华东交通大学创新创业教育研究课题(24hjct18)
大学生创新创业训练计划项目(202510404021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0485
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-09] Accepted Paper

Cite This Article

邹长军, 李希润, 牟渊金, 等. 基于密度感知的自适应并行PBF流体模拟方法 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0485. (Zou Changjun, Li Xirun, Mou Yuanjin, et al. Density-aware adaptive parallel pbf fluid simulation method [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0485. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)