Submission Deadline: 31 May 2026 View: 647 Submit to Special Issue
Dr. Yuguang Bai
Email: baiyg@dlut.edu.cn
Affiliation: School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116023, China
Research Interests: numerical modelling and simulation, structural dynamics, aeroelasticity, fluid-structure coupling, optimization, intelligent algorithms
Dr. Youwei Zhang
Email: ywzhang@dlut.edu.cn
Affiliation: School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116023, China
Research Interests: structural dynamics, optimization, intelligent algorithms
Fluid-structure coupling problem is one of the most significant engineering problems in many applications, e.g., Aviation, navigation, etc. The biggest challenge is computational modelling, especially fast numerical modelling. When considering fluid-structure coupling modelling, it is necessary to simulate unsteady aerodynamic forces, structural transient deformation, vibration and etc. Such research often requires a large number of simulations and experiments, including complicated coupling experiments. Artificial intelligence methods can greatly improve the modelling speed of complex engineering problems. If it is combined with studies of fluid-structure coupling problems, it can enhance the research efficiency of such problems. Therefore, modelling methods, simulation methods, optimization methods, etc, for fluid-structure coupling problems are urgently demanded in engineering research.
This Special Issue aimed to present advanced computational modelling methods from representative Mathematical, simulated, and experimental methods. It can include, but not be limited to, engineering simulation, numerical modelling, intelligent algorithms for aerodynamics, structural dynamics, and fluid-structure coupling problems.
Suggested themes are listed below:
· Fast modelling methods via machine learning, artificial intelligence, etc
· Fluid-structure coupling modelling and simulation
· Aeroelastic modelling and simulation
· Dynamic optimization related to fluid-structure coupling
· Thermal dynamic via structure characteristic
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