Tianhang Xiao

Prof. Tianhang Xiao


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2017 in Aerospace Science and Technology
Verified
Journal Article
Closed access
TXTianhang Xiao
Tianhang Xiao
NQNing Qin
Ning Qin
ZLZhaoyan Lu
Zhaoyan Lu
XSXuan Sun
Xuan Sun
MTMingbo Tong
Mingbo Tong
ZWZhengzhong Wang
Zhengzhong Wang

1 March 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
JCJichang Chen
Jichang Chen
TXTianhang Xiao
Tianhang Xiao
MWMingzhen Wang
Mingzhen Wang
YLYujin Lu
Yujin Lu
MTMingbo Tong
Mingbo Tong
Aircraft, such as amphibious planes, airliners, helicopters and re-entry capsules, are frequently subject to impacting loads from water-landing/ditching on various free surfaces, especially under wave conditions. Understanding and quantifying the water-landing/ditching performance on wave surfaces are of fundamental important for the design and certification of crashworthiness in the field of aerospace engineering. This study aims to numerically assess the effect of wave surface on water-landing process of an amphibious aircraft. The numerical implementation is realized in Reynolds-averaged Navier–Stokes (RANS) framework by combining finite volume method (FVM), volume of fluid (VOF) approach and velocity-inlet wavemaker. The temporal-spatial characteristic of numerical wave and the accuracy of presented model are, respectively, validated by analytical wave and convergence studies. The aircraft landing simulations with different free surface conditions, i.e., calm water, regular wave with different wave heights are then performed and quantitatively compared through several physical parameters, including acceleration, velocity, pressure, pitch angle and free surface deformation. It was found that the aircraft regular wave-landing process experiences several unique stages comparing with the calm-water-landing case. The results clearly confirm that wave surface can influence the aircraft landing performance to a great extent. The fundamental mechanism is found to be that the wave surface slope and wave particle velocity remarkably change the impacting position and effective impacting velocity of the aircraft.

1 January 2021 in Aerospace Science and Technology
Verified
Journal Article
Closed access
MWMingjian Wu
Mingjian Wu
ZSZhiwei Shi
Zhiwei Shi
TXTianhang Xiao
Tianhang Xiao
HAHaisong Ang
Haisong Ang

1 November 2019 in Acta Astronautica
Verified
Journal Article
Closed access
MWMingjian Wu
Mingjian Wu
ZSZhiwei Shi
Zhiwei Shi
TXTianhang Xiao
Tianhang Xiao
ZCZ.L.J. Chen
Z.L.J. Chen
HAHaisong Ang
Haisong Ang

1 June 2022 in AIAA Journal
Verified
Journal Article
Closed access
HZHaolin Zhi
Haolin Zhi
TXTianhang Xiao
Tianhang Xiao
SDShuanghou Deng
Shuanghou Deng
MTMingbo Tong
Mingbo Tong
PCPuhui Chen
Puhui Chen
BWBin Wu
Bin Wu
The present study numerically explores the distinct aerodynamic characteristics of an airfoil flying in proximity to water waves. The water wave is treated by both two-phase-flow wavy water and rig...

1 March 2007 in International Journal of Computational Fluid Dynamics
Verified
Journal Article
Closed access
TXTianhang Xiao
Tianhang Xiao
HAHaisong Ang
Haisong Ang
SYShaozhi Yu
Shaozhi Yu
In this paper an effective method is developed to solve unsteady low speed viscous flow problems with moving objects by using the governing equations of compressible fluids. The method is based on a dual time-stepping scheme, combined with low Mach number preconditioning and an implicit matrix-free Lower-Upper Symmetric Gauss-Seidel iteration on unstructured dynamic meshes. Because preconditioning modifies the governing equations, that induces the change of system's eigenvalues and eigenvectors, characteristic boundary conditions are also modified to suit the preconditioned characteristic system. Several test cases are simulated, including an in-line oscillating cylinder in a fluid at rest, flow over a flapping NACA0014 airfoil and low speed flow past a flapping-wing micro-air vehicle. Compared with experimental results whenever possible, the computed results indicate that this algorithm shows satisfactory improvement of solution efficiency and accuracy for low speed flow problems.