Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method
A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Aleksandrov, A. V. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2020 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2020 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Computational mathematics and modeling - Springer US, 1990, 31(2020), 3 vom: Juli, Seite 308-319 |
|---|---|
| Übergeordnetes Werk: |
volume:31 ; year:2020 ; number:3 ; month:07 ; pages:308-319 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10598-020-09493-9 |
|---|
| Katalog-ID: |
OLC2120357196 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2120357196 | ||
| 003 | DE-627 | ||
| 005 | 20230504175200.0 | ||
| 007 | tu | ||
| 008 | 230504s2020 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10598-020-09493-9 |2 doi | |
| 035 | |a (DE-627)OLC2120357196 | ||
| 035 | |a (DE-He213)s10598-020-09493-9-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 004 |q VZ |
| 100 | 1 | |a Aleksandrov, A. V. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media, LLC, part of Springer Nature 2020 | ||
| 520 | |a A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. | ||
| 650 | 4 | |a synthetic turbulence | |
| 650 | 4 | |a anisotropic turbulence | |
| 650 | 4 | |a stochastic simulation | |
| 650 | 4 | |a Monte-Carlo method | |
| 700 | 1 | |a Dorodnitsyn, L. V. |4 aut | |
| 700 | 1 | |a Duben’, A. P. |4 aut | |
| 700 | 1 | |a Kolyukhin, D. R. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Computational mathematics and modeling |d Springer US, 1990 |g 31(2020), 3 vom: Juli, Seite 308-319 |w (DE-627)130898163 |w (DE-600)1043251-6 |w (DE-576)034187774 |x 1046-283X |7 nnns |
| 773 | 1 | 8 | |g volume:31 |g year:2020 |g number:3 |g month:07 |g pages:308-319 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s10598-020-09493-9 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OPC-MAT | ||
| 951 | |a AR | ||
| 952 | |d 31 |j 2020 |e 3 |c 07 |h 308-319 | ||
| author_variant |
a v a av ava l v d lv lvd a p d ap apd d r k dr drk |
|---|---|
| matchkey_str |
article:1046283X:2020----::eeainfohmgnosublnvlctfedbmdfer |
| hierarchy_sort_str |
2020 |
| publishDate |
2020 |
| allfields |
10.1007/s10598-020-09493-9 doi (DE-627)OLC2120357196 (DE-He213)s10598-020-09493-9-p DE-627 ger DE-627 rakwb eng 004 VZ Aleksandrov, A. V. verfasserin aut Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. synthetic turbulence anisotropic turbulence stochastic simulation Monte-Carlo method Dorodnitsyn, L. V. aut Duben’, A. P. aut Kolyukhin, D. R. aut Enthalten in Computational mathematics and modeling Springer US, 1990 31(2020), 3 vom: Juli, Seite 308-319 (DE-627)130898163 (DE-600)1043251-6 (DE-576)034187774 1046-283X nnns volume:31 year:2020 number:3 month:07 pages:308-319 https://doi.org/10.1007/s10598-020-09493-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT AR 31 2020 3 07 308-319 |
| spelling |
10.1007/s10598-020-09493-9 doi (DE-627)OLC2120357196 (DE-He213)s10598-020-09493-9-p DE-627 ger DE-627 rakwb eng 004 VZ Aleksandrov, A. V. verfasserin aut Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. synthetic turbulence anisotropic turbulence stochastic simulation Monte-Carlo method Dorodnitsyn, L. V. aut Duben’, A. P. aut Kolyukhin, D. R. aut Enthalten in Computational mathematics and modeling Springer US, 1990 31(2020), 3 vom: Juli, Seite 308-319 (DE-627)130898163 (DE-600)1043251-6 (DE-576)034187774 1046-283X nnns volume:31 year:2020 number:3 month:07 pages:308-319 https://doi.org/10.1007/s10598-020-09493-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT AR 31 2020 3 07 308-319 |
| allfields_unstemmed |
10.1007/s10598-020-09493-9 doi (DE-627)OLC2120357196 (DE-He213)s10598-020-09493-9-p DE-627 ger DE-627 rakwb eng 004 VZ Aleksandrov, A. V. verfasserin aut Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. synthetic turbulence anisotropic turbulence stochastic simulation Monte-Carlo method Dorodnitsyn, L. V. aut Duben’, A. P. aut Kolyukhin, D. R. aut Enthalten in Computational mathematics and modeling Springer US, 1990 31(2020), 3 vom: Juli, Seite 308-319 (DE-627)130898163 (DE-600)1043251-6 (DE-576)034187774 1046-283X nnns volume:31 year:2020 number:3 month:07 pages:308-319 https://doi.org/10.1007/s10598-020-09493-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT AR 31 2020 3 07 308-319 |
| allfieldsGer |
10.1007/s10598-020-09493-9 doi (DE-627)OLC2120357196 (DE-He213)s10598-020-09493-9-p DE-627 ger DE-627 rakwb eng 004 VZ Aleksandrov, A. V. verfasserin aut Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. synthetic turbulence anisotropic turbulence stochastic simulation Monte-Carlo method Dorodnitsyn, L. V. aut Duben’, A. P. aut Kolyukhin, D. R. aut Enthalten in Computational mathematics and modeling Springer US, 1990 31(2020), 3 vom: Juli, Seite 308-319 (DE-627)130898163 (DE-600)1043251-6 (DE-576)034187774 1046-283X nnns volume:31 year:2020 number:3 month:07 pages:308-319 https://doi.org/10.1007/s10598-020-09493-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT AR 31 2020 3 07 308-319 |
| allfieldsSound |
10.1007/s10598-020-09493-9 doi (DE-627)OLC2120357196 (DE-He213)s10598-020-09493-9-p DE-627 ger DE-627 rakwb eng 004 VZ Aleksandrov, A. V. verfasserin aut Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. synthetic turbulence anisotropic turbulence stochastic simulation Monte-Carlo method Dorodnitsyn, L. V. aut Duben’, A. P. aut Kolyukhin, D. R. aut Enthalten in Computational mathematics and modeling Springer US, 1990 31(2020), 3 vom: Juli, Seite 308-319 (DE-627)130898163 (DE-600)1043251-6 (DE-576)034187774 1046-283X nnns volume:31 year:2020 number:3 month:07 pages:308-319 https://doi.org/10.1007/s10598-020-09493-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT AR 31 2020 3 07 308-319 |
| language |
English |
| source |
Enthalten in Computational mathematics and modeling 31(2020), 3 vom: Juli, Seite 308-319 volume:31 year:2020 number:3 month:07 pages:308-319 |
| sourceStr |
Enthalten in Computational mathematics and modeling 31(2020), 3 vom: Juli, Seite 308-319 volume:31 year:2020 number:3 month:07 pages:308-319 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
synthetic turbulence anisotropic turbulence stochastic simulation Monte-Carlo method |
| dewey-raw |
004 |
| isfreeaccess_bool |
false |
| container_title |
Computational mathematics and modeling |
| authorswithroles_txt_mv |
Aleksandrov, A. V. @@aut@@ Dorodnitsyn, L. V. @@aut@@ Duben’, A. P. @@aut@@ Kolyukhin, D. R. @@aut@@ |
| publishDateDaySort_date |
2020-07-01T00:00:00Z |
| hierarchy_top_id |
130898163 |
| dewey-sort |
14 |
| id |
OLC2120357196 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2120357196</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504175200.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230504s2020 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10598-020-09493-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2120357196</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10598-020-09493-9-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aleksandrov, A. V.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">synthetic turbulence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">anisotropic turbulence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">stochastic simulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Monte-Carlo method</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dorodnitsyn, L. V.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duben’, A. P.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kolyukhin, D. R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computational mathematics and modeling</subfield><subfield code="d">Springer US, 1990</subfield><subfield code="g">31(2020), 3 vom: Juli, Seite 308-319</subfield><subfield code="w">(DE-627)130898163</subfield><subfield code="w">(DE-600)1043251-6</subfield><subfield code="w">(DE-576)034187774</subfield><subfield code="x">1046-283X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:31</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:308-319</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10598-020-09493-9</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">31</subfield><subfield code="j">2020</subfield><subfield code="e">3</subfield><subfield code="c">07</subfield><subfield code="h">308-319</subfield></datafield></record></collection>
|
| author |
Aleksandrov, A. V. |
| spellingShingle |
Aleksandrov, A. V. ddc 004 misc synthetic turbulence misc anisotropic turbulence misc stochastic simulation misc Monte-Carlo method Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method |
| authorStr |
Aleksandrov, A. V. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)130898163 |
| format |
Article |
| dewey-ones |
004 - Data processing & computer science |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1046-283X |
| topic_title |
004 VZ Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method synthetic turbulence anisotropic turbulence stochastic simulation Monte-Carlo method |
| topic |
ddc 004 misc synthetic turbulence misc anisotropic turbulence misc stochastic simulation misc Monte-Carlo method |
| topic_unstemmed |
ddc 004 misc synthetic turbulence misc anisotropic turbulence misc stochastic simulation misc Monte-Carlo method |
| topic_browse |
ddc 004 misc synthetic turbulence misc anisotropic turbulence misc stochastic simulation misc Monte-Carlo method |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Computational mathematics and modeling |
| hierarchy_parent_id |
130898163 |
| dewey-tens |
000 - Computer science, knowledge & systems |
| hierarchy_top_title |
Computational mathematics and modeling |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)130898163 (DE-600)1043251-6 (DE-576)034187774 |
| title |
Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method |
| ctrlnum |
(DE-627)OLC2120357196 (DE-He213)s10598-020-09493-9-p |
| title_full |
Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method |
| author_sort |
Aleksandrov, A. V. |
| journal |
Computational mathematics and modeling |
| journalStr |
Computational mathematics and modeling |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
000 - Computer science, information & general works |
| recordtype |
marc |
| publishDateSort |
2020 |
| contenttype_str_mv |
txt |
| container_start_page |
308 |
| author_browse |
Aleksandrov, A. V. Dorodnitsyn, L. V. Duben’, A. P. Kolyukhin, D. R. |
| container_volume |
31 |
| class |
004 VZ |
| format_se |
Aufsätze |
| author-letter |
Aleksandrov, A. V. |
| doi_str_mv |
10.1007/s10598-020-09493-9 |
| dewey-full |
004 |
| title_sort |
generation of nonhomogeneous turbulent velocity fields by modified randomized spectral method |
| title_auth |
Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method |
| abstract |
A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. © Springer Science+Business Media, LLC, part of Springer Nature 2020 |
| abstractGer |
A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. © Springer Science+Business Media, LLC, part of Springer Nature 2020 |
| abstract_unstemmed |
A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow. © Springer Science+Business Media, LLC, part of Springer Nature 2020 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT |
| container_issue |
3 |
| title_short |
Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method |
| url |
https://doi.org/10.1007/s10598-020-09493-9 |
| remote_bool |
false |
| author2 |
Dorodnitsyn, L. V. Duben’, A. P. Kolyukhin, D. R. |
| author2Str |
Dorodnitsyn, L. V. Duben’, A. P. Kolyukhin, D. R. |
| ppnlink |
130898163 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s10598-020-09493-9 |
| up_date |
2024-07-04T03:55:31.355Z |
| _version_ |
1803619224906629120 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2120357196</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504175200.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230504s2020 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10598-020-09493-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2120357196</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10598-020-09493-9-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aleksandrov, A. V.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Generation of Nonhomogeneous Turbulent Velocity Fields by Modified Randomized Spectral Method</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">A new version of the synthetic turbulent velocity generator is proposed for simulation of turbulent flows. The method is fully stochastic and generates a statistically anisotropic and nonhomogeneous random field, which provides the initial and boundary conditions for the deterministic eddy-resolving model of turbulence. The simulation method has been tested on a three-dimensional problem of developed turbulent channel flow.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">synthetic turbulence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">anisotropic turbulence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">stochastic simulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Monte-Carlo method</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dorodnitsyn, L. V.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duben’, A. P.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kolyukhin, D. R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computational mathematics and modeling</subfield><subfield code="d">Springer US, 1990</subfield><subfield code="g">31(2020), 3 vom: Juli, Seite 308-319</subfield><subfield code="w">(DE-627)130898163</subfield><subfield code="w">(DE-600)1043251-6</subfield><subfield code="w">(DE-576)034187774</subfield><subfield code="x">1046-283X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:31</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:308-319</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10598-020-09493-9</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">31</subfield><subfield code="j">2020</subfield><subfield code="e">3</subfield><subfield code="c">07</subfield><subfield code="h">308-319</subfield></datafield></record></collection>
|
| score |
7.4006233 |