Benutzer: Gast  Login
Titel:

Level-set based pre-processing techniques for particle methods

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yu, Yongchuan; Zhu, Yujie; Zhang, Chi; Haidn, Oskar J.; Hu, Xiangyu
Abstract:
Obtaining high-quality particle distribution representing clean geometry in pre-processing is essential for accurate and stable simulation with particle methods. In this paper, several level-set-based techniques for cleaning up ‘dirty’ geometry automatically and generating isotropic particle distribution are presented. First, under a given resolution, an identification method for non-resolved structures based on a level-set field is employed to detect the tiny fragments which dirty the geometry....     »
Stichworte:
Kernel support completing; Level-set; Particle methods; Static confinement; ‘Dirty’ geometry cleaning
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Horizon 2020:
10107567
Zeitschriftentitel:
Computer Physics Communications
Jahr:
2023
Band / Volume:
289
Seitenangaben Beitrag:
108744
Nachgewiesen in:
Scopus
Sprache:
en
Volltext / DOI:
doi:10.1016/j.cpc.2023.108744
Verlag / Institution:
Elsevier BV
E-ISSN:
0010-4655
Hinweise:
Funding text Y.C. Yu is fully supported by the China Scholarship Council (CSC) (No: 201806120023 ). C. Zhang and X.Y. Hu would like to express their gratitude to Deutsche Forschungsgemeinschaft for their sponsorship of this research under grant number DFG HU1527/12-4 . This work used the EGI infrastructure with the dedicated support of Fraunhofer SCAI and EGI-ACE, the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101017567 .
Publikationsdatum:
01.08.2023
TUM Einrichtung:
Lehrstuhl für Aerodynamik und Strömungsmechanik
 BibTeX