This collection aims to honour Dr. Peng Wang’s contributions to the field in which he worked and provide readers with a glimpse of the exciting ongoing research in the field.
The collection includes five papers by leading experts in the field, covering topics such as a three-dimensional high-order compact GKS, an adaptive DUGKS for all flow regimes, a DUGKS for multiphase flows, a DUGKS for gas mixture flows, and an accelerated low-variance DSMC by GSIS.
With wave-particle decomposition, a unified gas-kinetic wave-particle (UGKWP) method has been developed for multiscale flow simulations. With the variation of the cell Knudsen number, the UGKWP method captures the transport process in all flow regimes without the kinetic solver’s constraint on the numerical mesh size and time step being determined by the kinetic particle mean free path and particle collision time. In the current UGKWP method, the cell Knudsen number, which is defined as the ratio of particle collision time to numerical time step, is used to distribute the components in the wave-particle decomposition. The adaptation of particles in the UGKWP method is mainly for the capturing of the non-equilibrium transport. In this aspect, the cell Knudsen number alone is not enough to identify the non-equilibrium state. For example, in the equilibrium flow regime with a Maxwellian distribution function, even at a large cell Knudsen number, the flow evolution can be still modelled by the Navier-Stokes solver. More specifically, in the near space environment both the hypersonic flow around a space vehicle and the plume flow from a satellite nozzle will encounter a far field rarefied equilibrium flow in a large computational domain. In the background dilute equilibrium region, the large particle collision time and a uniform small numerical time step can result in a large local cell Knudsen number and make the UGKWP method track a huge number of particles for the far field background flow in the original approach. But, in this region the analytical wave representation can be legitimately used in the UGKWP method to capture the nearly equilibrium flow evolution. Therefore, to further improve the efficiency of the UGKWP method for multiscale flow simulations, an adaptive UGKWP (AUGKWP) method is developed with the introduction of an additional local flow variable gradient-dependent Knudsen number. As a result, the wave-particle decomposition in the UGKWP method is determined by both the cell and gradient Knudsen numbers, and the use of particles in the UGKWP method is solely to capture the non-equilibrium flow transport. The current AUGKWP method becomes much more efficient than the previous one with the cell Knudsen number only in the determination of wave-particle composition. Many numerical tests, including Sod shock tube, normal shock structure, hypersonic flow around cylinder, flow around reentry capsule, and an unsteady nozzle plume flow, have been conducted to validate the accuracy and efficiency of the AUGKWP method. Compared with the original UGKWP method, the AUGKWP method achieves the same accuracy, but has advantages in memory reduction and computational efficiency in the simulation for flows with the co-existing of multiple regimes.
Aims and scope
Advances in Aerodynamics (AIA) is aimed to report the scientific and technological advances in aerodynamics from the aspects of academic research, industrial development, and engineering applications; and to provide a platform for ideas exchange and discussion in this fast-changing field. The journal welcomes reviews and regular papers of novel studies on aerodynamic science and engineering. The topics include but are not limited to:
- Theoretical and Computational Aerodynamics
- Equilibrium and non-equilibrium flow
- Numerical method and validation
- Turbulent flow modeling and simulation
- Multiple physical field simulation
- Experimental Aerodynamics
- Wind tunnel experiments
- Propulsion and combustion
- Flow visualization
- Measurement and control techniques
- Wind Engineering and Industrial Aerodynamics
- Buildings and bridges
- Automobiles and high-speed ground vehicles
- Renewable energies
- Environmental wind engineering
- Related Cross-disciplinary Aerodynamics
- Aerodynamic stealth
Message from the Editors-in-Chief
On behalf of the editorial board, we are honored to announce the launch of a new journal, Advances in Aerodynamics (AIA), and we are very pleased to share with you our vision for the development of this journal. AIA is an international peer-reviewed open access journal which publishes high quality papers with originality, novelty, and significant contributions to the progress in aerodynamics. The journal will provide authors with an open and fair platform to promote their research and identify themselves in the aerodynamics community. Read more.
Advances in Aerodynamics is affiliated with the Chinese Aerodynamics Research Society, which is supported by China Aerodynamics Research and Development Center.
Abstracted and Indexed in
Emerging Sources Citation Index
TD Net Discovery Service
OCLC WorldCat Discovery Service
EBSCO Discovery Service
Astrophysics Data System (ADS)
Annual Journal Metrics
2022 Citation Impact
2.3 - 2-year Impact Factor
2.3 - 5-year Impact Factor
1.092 - SNIP (Source Normalized Impact per Paper)
0.598 - SJR (SCImago Journal Rank)
6 days submission to first editorial decision for all manuscripts (Median)
78 days submission to accept (Median)
13 Altmetric mentions
- ISSN: 2524-6992 (electronic)