Principal invariants of acceleration gradient tensor and their statistics in compressible channel flow

In this study, we utilize the acceleration gradient tensor (AGT) as a tool to probe turbulence. It is demonstrated that the AGT principal invariants include not only the spatial characteristics described by the velocity gradient tensor, but also the evolution features such as the temporal evolution of dilatation, strain rate, and rotation rate. Based on the statistical differences in AGT invariants within the viscous sublayer of compressible channel flow, it is confirmed that alternating positive and negative structures near the wall in high-speed flows with strong compressibility induce intense temporal evolution of dilatation.

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Publication Details

Journal
Physical Review Fluids
Published
2025-06-02
DOI
https://doi.org/10.1103/physrevfluids.10.064604
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
0.00

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article

Principal invariants of acceleration gradient tensor and their statistics in compressible channel flow

Xi‐Yun Lu, Lin Fu, Zhiye Zhao
Physical Review Fluids
Fluid Dynamics and Turbulent Flows
article

Principal invariants of acceleration gradient tensor and their statistics in compressible channel flow

Xi‐Yun Lu, Lin Fu, Zhiye Zhao
article en

Abstract

In this study, we utilize the acceleration gradient tensor (AGT) as a tool to probe turbulence. It is demonstrated that the AGT principal invariants include not only the spatial characteristics described by the velocity gradient tensor, but also the evolution features such as the temporal evolution of dilatation, strain rate, and rotation rate. Based on the statistical differences in AGT invariants within the viscous sublayer of compressible channel flow, it is confirmed that alternating positive and negative structures near the wall in high-speed flows with strong compressibility induce intense temporal evolution of dilatation.

Physical Review FluidsVol. 10(6)
University of Science and Technology of China (CN), Hong Kong University of Science and Technology (HK)
National Natural Science Foundation of China, Chinese Academy of Sciences, Research Grants Council, University Grants Committee, Science Challenge Project, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 87%
Fluid Dynamics and Turbulent Flows
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Principal invariants of acceleration gradient tensor and their statistics in compressible channel flow — Xi‐Yun Lu, Lin Fu, et al. · Physical Review Fluids (2025) | TGRS Research Map | TGRS