2024-03-29T10:53:02Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1381662022-02-07T15:42:41Zcom_10366_138150com_10366_4512com_10366_3823col_10366_138151
López González, José Iván
5a268dad-6517-48e8-8728-e005ceb7e8eb
500
Brovka, Marina
8f164992-3a1f-4d44-b8cd-e179cf60ca9e
500
Escobar, José María
dde48f44-0af4-45e6-8a75-f86cf5c62527
500
Montenegro Armas, Rafael
d3e8455f-adb3-4242-b261-5066fa2501a1
500
Socorro-Marrero, Guillermo Valentín
571aad6e-68f7-4896-81b6-71ac24906442
500
2018-08-31T06:46:45Z
2018-08-31T06:46:45Z
2016-05-12
J.I. López, M. Brovka, J.M. Escobar, R. Montenegro, G.V. Socorro (2017) Strategies for optimization of hexahedral meshes and their comparative. Engineering with Computers, Vol. 33(1), pp. 33-43
0177-0667
http://hdl.handle.net/10366/138166
In this work, we study several strategies based on different objective functions for optimization of hexahedral meshes. We consider two approaches to construct objective functions. The first one is based on the decomposition of a hexahedron into tetrahedra. The second one is derived from the Jacobian matrix of the trilinear mapping between the reference and physical hexahedral element. A detailed description of all proposed strategies is given in the present work. Some computational experiments have been developed to test and compare the untangling capabilities of the considered objective functions. In the experiments, a sample of highly distorted hexahedral elements is optimized with the proposed objective functions, and the rate of success of each function is obtained. The results of these experiments are presented and analyzed.
Secretaría de Estado de Universidades e Investigación del Ministerio de Economía y Competitividad del Gobierno de España; Programa de FPU del Ministerio de Educación, Cultura y Deporte; Programa de
FPI propio de la ULPGC; Fondos FEDER
application/pdf
eng
Springer-Verlag
Engineering with Computers;Volume 33, Issue 1
CTM2014- 55014-C3-3R
CTM2014-55014-C3-1-R
Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Hexahedral meshes
Mesh optimization
Mesh untangling
Strategies for optimization of hexahedral meshes and their comparative study
info:eu-repo/semantics/article
TEXT
SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf.txt
SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf.txt
Extracted text
text/plain
46585
https://gredos.usal.es/bitstream/10366/138166/5/SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf.txt
af8655b256f7009139861b599ea09e14
MD5
5
ORIGINAL
SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf
SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf
application/pdf
1099912
https://gredos.usal.es/bitstream/10366/138166/1/SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf
9f7b837ff08533fcae36a769524b28b9
MD5
1
LICENSE
license.txt
license.txt
text/plain; charset=utf-8
2374
https://gredos.usal.es/bitstream/10366/138166/2/license.txt
c01660a91797318ab11c17561332e8ad
MD5
2
THUMBNAIL
SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf.jpg
SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf.jpg
IM Thumbnail
image/jpeg
1996
https://gredos.usal.es/bitstream/10366/138166/3/SINUMCC_ULPGC_LopezMonte_Strategies_2017.pdf.jpg
e33f7567eb05228b0db359964fada728
MD5
3
10366/138166
oai:gredos.usal.es:10366/138166
2022-02-07 16:42:41.947
Gestión del Repositorio Documental de la Universidad de Salamanca
oca@usal.es
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