Journal of Fluid Mechanics· 2026Q1
Turbulent boundary layers under adverse pressure gradients. Part 1. Decoupling the influences of local and upstream pressure gradients through high-Reynolds-number experiments
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- Q1SCImago
- 2026year
Short summary
High-Reynolds-number experiments show the additive coefficient in the logarithmic velocity profile of turbulent boundary layers under adverse pressure gradients varies with local and upstream pressure conditions, while the von Kármán coefficient remains invariant.
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Key points
- The additive coefficient in the logarithmic velocity profile of turbulent boundary layers under adverse pressure gradients varies with local and upstream pressure conditions.
- The von Kármán coefficient in the logarithmic velocity profile remains invariant across different pressure gradient conditions.
- Upstream pressure gradient history primarily influences large-scale turbulent motions, while local adverse pressure gradients energize both large- and small-scale motions in the wake region.
- Neither upstream history nor local adverse pressure gradients were observed to extend into the inner region of the boundary layer at high Reynolds numbers.
AI-generated from the title and abstract; the full text is not read.
Abstract
This study reports a carefully controlled examination of the universality of the von Kármán and additive coefficients associated with the classical logarithmic scaling law for the mean streamwise velocity profile in high-friction-Reynolds-number ( upper R e Subscript tau R e τ $Re_{\tau }$ ) turbulent boundary layers (TBLs) subjected to low-to-moderate adverse pressure gradients (APGs). The present approach leverages a recently developed methodology that enables systematic variation of the upstream pressure gradient (PG) history, e.g. introducing weak APG perturbations or maintaining nominally zero-pressure-gradient conditions (a ‘minimal’ PG history), while also obtaining locally matched upper R e Subscript tau R e τ $Re_{\tau }$ and beta β $\beta$ at the downstream measurement locations. As such, this unique experimental configuration allows for systematic decoupling of the influences of upper R e Subscript tau R e τ $Re_{\tau }$ , local APGs and PG history, and assessment of their individual contributions to single-point turbulence statistics and energy spectra across different regions of the TBL. The conscious choice of a high- upper R e Subscript tau R e τ $Re_{\tau }$ and low-to-moderate APG conditions yields a well-defined and sufficiently broad overlap region in the TBL streamwise velocity profile, permitting a rigorous examination of the classical logarithmic scaling law. The von Kármán coefficient was found to remain invariant across all cases, within experimental uncertainty, while the additive coefficient varied systematically with both the local APG and PG history, possibly explaining variabilities in the logarithmic scaling behaviours reported across the APG TBL literature. Local APGs were also observed to energise both large- and small-scale motions in the wake region, as expected, while PG history was found to primarily influence large-scale motions extending farther towards the overlap region. In contrast to previous lower- upper R e Subscript tau R e τ $Re_{\tau }$ studies, neither effect was observed to extend into the inner region, highlighting the importance of investigating this problem with sufficient separation of scales and TBL regions. Collectively, these measurements provide a high-fidelity dataset that reveals the underlying influence of PG history, improving fundamental understanding and providing the basis for developing composite mean velocity profile formulations for APG TBLs that account for the distinct influences of upper R e Subscri
The authors' abstract, as published at the source. Journal of Fluid Mechanics, 2026 · DOI ↗
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Field: Computational Mechanics
Computational MechanicsEngineering