Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Zhiyin Yang"'
Publikováno v:
Modelling, Vol 5, Iss 2, Pp 483-501 (2024)
Three-dimensional (3D) computational fluid dynamics (CFD) simulations have been carried out to investigate the complex interaction of a planar shock wave (Ma = 1.22) with a cylindrical bubble. The unsteady Reynolds-averaged Navier–Stokes (URANS) ap
Externí odkaz:
https://doaj.org/article/01b4459b174b49e7916734bd5f33b3f1
Publikováno v:
Energy and AI, Vol 16, Iss , Pp 100360- (2024)
This paper describes the utilization of artificial intelligence (AI) techniques to identify an optimal machine learning (ML) model for predicting dodecane fuel consumption in diesel combustion. The study incorporates sensitivity analysis to assess th
Externí odkaz:
https://doaj.org/article/7ffd354a201846689f4eaec84604b80b
Publikováno v:
Physical Review Research, Vol 5, Iss 4, p 043253 (2023)
To understand how the long connections of a brain functional network come from the short connections of its corresponding structural network, remote synchronization (RS) was recently studied in star graph networks. However, the motif of the star grap
Externí odkaz:
https://doaj.org/article/5c2fb8b553d944bbb50cc0a7648933b6
Autor:
Terrance Charles, Zhiyin Yang
Publikováno v:
Modelling, Vol 3, Iss 3, Pp 300-313 (2022)
The aerodynamic efficiency of trucks is very low because of their non-streamlined box shape, which is subject to practical constraints, leaving little room for improvement in terms of aerodynamic efficiency. Hence, other means of improving the aerody
Externí odkaz:
https://doaj.org/article/49dbae43e29849ec8ec01060e95bc7bd
Publikováno v:
Chinese Medical Journal, Vol 135, Iss 6, Pp 714-723 (2022)
Abstract. Background:. Circular RNAs (circRNAs) are considered to be important regulators in cancer biology. In this study, we focused on the effect of circRNA baculoviral inhibitor of apoptosis protein (IAP) repeat containing 6 (circBIRC6) on non-sm
Externí odkaz:
https://doaj.org/article/2eee85a8a69b45e495cf744adccb6da9
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 7, Iss 2, Pp 528-534 (2021)
Numerical simulations have been carried out to advance our current understanding of flow around two dimensional (2D) and three dimensional (3D) square shaped tandem bluff bodies at a Reynolds number of 22,000, especially to shed light on the sudden c
Externí odkaz:
https://doaj.org/article/dd099231cd7749ad8f0349c22907d20a
Publikováno v:
Sensors, Vol 23, Iss 9, p 4492 (2023)
In any healthcare setting, it is important to monitor and control airflow and ventilation with a thermostat. Computational fluid dynamics (CFD) simulations can be carried out to investigate the airflow and heat transfer taking place inside a neonatal
Externí odkaz:
https://doaj.org/article/09e9a9b1eb084f3899e45b49b1217f25
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 7, Iss 1, Pp 45-53 (2021)
Aerodynamic drag reduction of tractor-trailer combination trucks is critically important to improve their fuel consumption which consequently results in lower emissions. One practical method to reduce aerodynamic drag of a truck is by mounting drag r
Externí odkaz:
https://doaj.org/article/ff2776a93dd7490ea682b5db3783ab90
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 6, Iss Special Issue, Pp 1210-1219 (2020)
Reducing aerodynamic drag of heavy trucks is crucially important for the reduction of fuel consumption and hence results in less air pollution. One way to reduce the aerodynamic drag is the deployment of drag reduction devices at the rear of trucks a
Externí odkaz:
https://doaj.org/article/042232deb16042a992915aed325773a0
Autor:
Solomon Onwuegbu, Zhiyin Yang
Publikováno v:
AIP Advances, Vol 12, Iss 2, Pp 025215-025215-15 (2022)
Two-dimensional and three-dimensional computational fluid dynamics studies of a spherical bubble impacted by a supersonic shock wave (Mach 1.25) have been performed to fully understand the complex process involved in shock–bubble interaction (SBI).
Externí odkaz:
https://doaj.org/article/14d07b1ed659475e99ea96816984a83d