Large-eddy simulation of a non-equilibrium turbulent boundary layer Article Swipe
Praveen Kumar
,
Krishnan Mahesh
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1017/jfm.2025.10270
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1017/jfm.2025.10270
Wall-resolved large-eddy simulation (LES) of a non-equilibrium turbulent boundary layer (TBL) is performed. The simulations are based on the experiments of Volino (2020 a J. Fluid Mech. 897 , A2), who reported profile measurements at several streamwise stations in a spatially developing zero pressure gradient TBL evolving through a region of favourable pressure gradient (FPG), a zero pressure gradient recovery and subsequently an adverse pressure gradient (APG) region. The pressure gradient quantified by the acceleration parameter $K$ was held constant in each of these three regions. Here, $K = -(\nu /\rho U_e^{3}) {\textrm d}P_e/{\textrm d}x$ , where $\nu$ is the kinematic viscosity, $\rho$ is density, $U_e$ is the free stream velocity and ${\textrm d}P_e/{\textrm d}x$ is the streamwise pressure gradient at the edge (denoted by the subscript ‘ $e$ ’) of the TBL. The simulation set-up is carefully designed to mimic the experimental conditions while keeping the computational cost tractable. The computational grid appropriately resolves the increasingly thinning and thickening of the TBL in the FPG and APG regions, respectively. The results are thoroughly compared with the available experimental data at several stations in the domain, showing good agreement. The results show that the computational set-up accurately reproduces the experimental conditions and the results demonstrate the accuracy of LES in predicting the complex flow field of the non-equilibrium TBL. The scaling laws and models proposed in the literature are evaluated and the response of the TBL to non-equilibrium conditions is discussed.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/jfm.2025.10270
- https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8FC073F4A5FA17A189567CD097CCB8DD/S002211202510270Xa.pdf/div-class-title-large-eddy-simulation-of-a-non-equilibrium-turbulent-boundary-layer-div.pdf
- OA Status
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- References
- 54
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- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4412008516Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1017/jfm.2025.10270Digital Object Identifier
- Title
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Large-eddy simulation of a non-equilibrium turbulent boundary layerWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-03Full publication date if available
- Authors
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Praveen Kumar, Krishnan MaheshList of authors in order
- Landing page
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https://doi.org/10.1017/jfm.2025.10270Publisher landing page
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8FC073F4A5FA17A189567CD097CCB8DD/S002211202510270Xa.pdf/div-class-title-large-eddy-simulation-of-a-non-equilibrium-turbulent-boundary-layer-div.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8FC073F4A5FA17A189567CD097CCB8DD/S002211202510270Xa.pdf/div-class-title-large-eddy-simulation-of-a-non-equilibrium-turbulent-boundary-layer-div.pdfDirect OA link when available
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Boundary layer, Large eddy simulation, Mechanics, Turbulence, Physics, Statistical physicsTop concepts (fields/topics) attached by OpenAlex
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54Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.several | 35, 181 |
| abstract_inverted_index.showing | 186 |
| abstract_inverted_index.through | 47 |
| abstract_inverted_index.(denoted | 123 |
| abstract_inverted_index.U_e^{3}) | 91 |
| abstract_inverted_index.accuracy | 206 |
| abstract_inverted_index.boundary | 8 |
| abstract_inverted_index.compared | 174 |
| abstract_inverted_index.constant | 79 |
| abstract_inverted_index.density, | 104 |
| abstract_inverted_index.designed | 138 |
| abstract_inverted_index.evolving | 46 |
| abstract_inverted_index.gradient | 44, 53, 58, 65, 70, 119 |
| abstract_inverted_index.pressure | 43, 52, 57, 64, 69, 118 |
| abstract_inverted_index.proposed | 224 |
| abstract_inverted_index.recovery | 59 |
| abstract_inverted_index.regions, | 168 |
| abstract_inverted_index.regions. | 85 |
| abstract_inverted_index.reported | 31 |
| abstract_inverted_index.resolves | 154 |
| abstract_inverted_index.response | 232 |
| abstract_inverted_index.stations | 37, 182 |
| abstract_inverted_index.thinning | 157 |
| abstract_inverted_index.velocity | 110 |
| abstract_inverted_index.{\textrm | 92 |
| abstract_inverted_index.${\textrm | 112 |
| abstract_inverted_index.available | 177 |
| abstract_inverted_index.carefully | 137 |
| abstract_inverted_index.evaluated | 229 |
| abstract_inverted_index.kinematic | 100 |
| abstract_inverted_index.parameter | 75 |
| abstract_inverted_index.spatially | 40 |
| abstract_inverted_index.subscript | 126 |
| abstract_inverted_index.turbulent | 7 |
| abstract_inverted_index.accurately | 196 |
| abstract_inverted_index.agreement. | 188 |
| abstract_inverted_index.conditions | 143, 200, 238 |
| abstract_inverted_index.developing | 41 |
| abstract_inverted_index.discussed. | 240 |
| abstract_inverted_index.favourable | 51 |
| abstract_inverted_index.large-eddy | 1 |
| abstract_inverted_index.literature | 227 |
| abstract_inverted_index.performed. | 12 |
| abstract_inverted_index.predicting | 210 |
| abstract_inverted_index.quantified | 71 |
| abstract_inverted_index.reproduces | 197 |
| abstract_inverted_index.simulation | 2, 134 |
| abstract_inverted_index.streamwise | 36, 117 |
| abstract_inverted_index.thickening | 159 |
| abstract_inverted_index.thoroughly | 173 |
| abstract_inverted_index.tractable. | 149 |
| abstract_inverted_index.viscosity, | 101 |
| abstract_inverted_index.demonstrate | 204 |
| abstract_inverted_index.experiments | 19 |
| abstract_inverted_index.simulations | 14 |
| abstract_inverted_index.acceleration | 74 |
| abstract_inverted_index.experimental | 142, 178, 199 |
| abstract_inverted_index.increasingly | 156 |
| abstract_inverted_index.measurements | 33 |
| abstract_inverted_index.subsequently | 61 |
| abstract_inverted_index.Wall-resolved | 0 |
| abstract_inverted_index.appropriately | 153 |
| abstract_inverted_index.computational | 147, 151, 194 |
| abstract_inverted_index.respectively. | 169 |
| abstract_inverted_index.d}P_e/{\textrm | 93, 113 |
| abstract_inverted_index.non-equilibrium | 6, 217, 237 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5069898553 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I27837315 |
| citation_normalized_percentile.value | 0.28297702 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |