Junlin Qi
Junlin Qi has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Dong-Yuan Chen
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, USA
1 shared publication - Hao Guo
Marine Design and Research Institute of China, Shanghai 200011, China
1 shared publication - Ji Zhao
Marine Design and Research Institute of China, Shanghai 200011, China
1 shared publication - Qiu Jin
Key Laboratory of High Performance Ship Technology, Wuhan University of Technology, Ministry of Education, Wuhan 430063, China
1 shared publication - Ran Li
Three Gorges Navigation Authority, Yichang 443000, Hubei, China
1 shared publication - Tingqiu Li
Key Laboratory of High Performance Ship Technology, Wuhan University of Technology, Ministry of Education, Wuhan 430063, China
1 shared publication
Latest Publications
- Open Access
- 1 January 2023
- Published by China Engineering Science Press Co. Ltd. in Strategic Study of CAE
- Vol. 25 (1) , 155
Innovation and Practice of High-Quality Navigation of the Three Gorges-Gezhouba Cascade Hub in 20 Years
Three Gorges project; cascade hub; navigation organization; intelligent navigation; environmental-friendly maintenance
- 1 January 2023
- Published by China Engineering Science Press Co. Ltd. in Strategic Study of CAE
- Vol. 25 (1) , 155
Open AccessInnovation and Practice of High-Quality Navigation of the Three Gorges-Gezhouba Cascade Hub in 20 Years
Three Gorges project; cascade hub; navigation organization; intelligent navigation; environmental-friendly maintenance
- Open Access
- 11 August 2022
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 10 (8) , 1101
Fast Multigrid Algorithm for Non-Linear Simulation of Intact and Damaged Ship Motions in Waves
This paper proposes a fast multigrid algorithm to simulate the non-linear motion of ships in both intact and damaged conditions. The simulations of ship motions in waves are known to require much time to calculate due to the strong non-linear interactions between ship and waves. To improve the calculation efficiency while retaining the accuracy, a prediction-correction strategy was designed to accelerate the simulation through three sets of locally refined meshes. The flow field was first estimated in a coarse mesh and then mapped to a locally refine mesh for further higher-fidelity corrections. A partitioned radial basis function (PRBF) method is proposed to interpolate and reconstruct the flow field for the refined mesh. A new two-phase flow solver was developed with a fast multigrid algorithm based on the Reynolds-averaged Navier–Stokes equations (RANSE). The new solver was applied to study the non-linear behavior of a damaged ship in beam waves and the effect of damaged compartments on ship rolling motion. Validation against the solution with the original method of single set meshes and experimental data indicates that the proposed algorithm yields satisfactory results while saving 30–40% of the computational time.
- 11 August 2022
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 10 (8) , 1101
Open AccessFast Multigrid Algorithm for Non-Linear Simulation of Intact and Damaged Ship Motions in Waves
This paper proposes a fast multigrid algorithm to simulate the non-linear motion of ships in both intact and damaged conditions. The simulations of ship motions in waves are known to require much time to calculate due to the strong non-linear interactions between ship and waves. To improve the calculation efficiency while retaining the accuracy, a prediction-correction strategy was designed to accelerate the simulation through three sets of locally refined meshes. The flow field was first estimated in a coarse mesh and then mapped to a locally refine mesh for further higher-fidelity corrections. A partitioned radial basis function (PRBF) method is proposed to interpolate and reconstruct the flow field for the refined mesh. A new two-phase flow solver was developed with a fast multigrid algorithm based on the Reynolds-averaged Navier–Stokes equations (RANSE). The new solver was applied to study the non-linear behavior of a damaged ship in beam waves and the effect of damaged compartments on ship rolling motion. Validation against the solution with the original method of single set meshes and experimental data indicates that the proposed algorithm yields satisfactory results while saving 30–40% of the computational time.