Maciej Milewski , Jakub Wróbel , Artur Kierzkowski , David Vališ
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引用次数: 0
Abstract
This paper investigates the structural dynamics of a UAV composite wing through FEM simulations and experimental modal analysis, aiming to replace traditional experimental testing in UAV structural evaluations. The simulations, performed with Ansys Composite Prep/Post (ACP), model each composite layer with specific fiber orientations, material properties, and thickness. Experimental tests, utilizing a shaker for excitation and an accelerometer for response measurement, were conducted on the aircraft in the frequency range of 0 to 1100 Hz, targeting operationally relevant harmonic frequencies. A comparative analysis between simulation and experimental results identifies sources of discrepancies, particularly in critical low-frequency modes essential for UAV performance. The study highlights how simplifications in the FEM model, such as excluding control surfaces and assuming material homogeneity, impact simulation accuracy. The paper concludes by outlining directions for further research, stressing the need to refine FEM models and enhance composite material representations to improve UAV reliability and simulation accuracy.
期刊介绍:
The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.
The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.
Paper submission is solicited on:
• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;
• methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.;
• simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.;
• distributed and real-time simulation, simulation interoperability;
• tools for high performance computing simulation, including dedicated architectures and parallel computing.