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Graph."],"published-print":{"date-parts":[[2023,12,5]]},"abstract":"<jats:p>Multiple fluid simulation has raised wide research interest in recent years. Despite the impressive successes of current works, simulation of scenes containing mixing or unmixing of high-density-ratio phases using particle-based discretizations still remains a challenging task. In this paper, we propose a peridynamic mixture-model theory that stably handles high-density-ratio multi-fluid simulations. With assistance of novel scalar-valued volume flow states, a particle based discretization scheme is proposed to calculate all the terms in the multi-phase Navier-Stokes equations in an integral form, We also design a novel mass updating strategy for enhancing phase mass conservation and reducing particle volume variations under high density ratio settings in multi-fluid simulations. As a result, we achieve significantly stabler simulations in mixture-model multi-fluid simulations involving mixing and unmixing of high density ratio phases. Various experiments and comparisons demonstrate the effectiveness of our approach.<\/jats:p>","DOI":"10.1145\/3618347","type":"journal-article","created":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T10:20:48Z","timestamp":1701771648000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["High Density Ratio Multi-Fluid Simulation with Peridynamics"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6641-9383","authenticated-orcid":false,"given":"Han","family":"Yan","sequence":"first","affiliation":[{"name":"TMCC, College of Computer Science, Nankai University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8179-9122","authenticated-orcid":false,"given":"Bo","family":"Ren","sequence":"additional","affiliation":[{"name":"TMCC, College of Computer Science, Nankai University, China"}]}],"member":"320","published-online":{"date-parts":[[2023,12,5]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185558"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3180486"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/1272690.1272719"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2159516.2159522"},{"key":"e_1_2_2_5_1","volume-title":"Peridynamics-Based Fracture Animation for Elastoplastic Solids. 37, 1","author":"Chen Wei","year":"2018","unstructured":"Wei Chen, Fei Zhu, Jing Zhao, Sheng Li, and Guoping Wang. 2018. 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