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Title: An adaptive reconstruction for Lagrangian, direct-forcing, immersed-boundary methods

Authors:
; ; ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1549243
Grant/Contract Number:  
GA 689074
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Computational Physics
Additional Journal Information:
Journal Name: Journal of Computational Physics Journal Volume: 351 Journal Issue: C; Journal ID: ISSN 0021-9991
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

Citation Formats

Posa, Antonio, Vanella, Marcos, and Balaras, Elias. An adaptive reconstruction for Lagrangian, direct-forcing, immersed-boundary methods. United States: N. p., 2017. Web. doi:10.1016/j.jcp.2017.09.047.
Posa, Antonio, Vanella, Marcos, & Balaras, Elias. An adaptive reconstruction for Lagrangian, direct-forcing, immersed-boundary methods. United States. doi:10.1016/j.jcp.2017.09.047.
Posa, Antonio, Vanella, Marcos, and Balaras, Elias. Fri . "An adaptive reconstruction for Lagrangian, direct-forcing, immersed-boundary methods". United States. doi:10.1016/j.jcp.2017.09.047.
@article{osti_1549243,
title = {An adaptive reconstruction for Lagrangian, direct-forcing, immersed-boundary methods},
author = {Posa, Antonio and Vanella, Marcos and Balaras, Elias},
abstractNote = {},
doi = {10.1016/j.jcp.2017.09.047},
journal = {Journal of Computational Physics},
number = C,
volume = 351,
place = {United States},
year = {2017},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.jcp.2017.09.047

Citation Metrics:
Cited by: 5 works
Citation information provided by
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