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SYMONOV, V.
Originální název
Bird strike simulations in MSC.Software: correlation between the experiments and simulations
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
A partial parametric study of FE simulations of bird strike tests of CFRP panel is presented. The simulation were performed with help of MSC.Dytran and MSC.Nastran software, where two different simulation methods were used: Lagrangian-Eulerian (LE) and Smooth Particles Hydrodynamics (SPH). During the study the simulation results were compared to test ones. In particular the maximum deflection profile and failure extent and position were compared. The main objective of the study was to find both the parameters of FE models, which significantly influence the simulation results, and choose the software and simulation method, which give the best correlation with experiment. Based on correlation of panel maximum deflection and failure extent and position conclusions about influence of the investigated parameters on simulation results and about advantages and disadvantages of different simulation software and methods are made.
Klíčová slova
bird strike, finite element simulation, MSC.Software, Lagrangian-Eulerian, smooth particles hydrodynamic
Autoři
Vydáno
9. 9. 2021
Nakladatel
ICAS
Místo
32nd Congress of the International Council of the Aeronautical Sciences, Shanghai, China
ISBN
9783932182914
Kniha
32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021
Strany od
1
Strany do
11
Strany počet
URL
https://www.icas.org/ICAS_ARCHIVE/ICAS2020/data/preview/ICAS2020_0017.htm
BibTex
@inproceedings{BUT175318, author="Volodymyr {Symonov} and Jaroslav {Juračka}", title="Bird strike simulations in MSC.Software: correlation between the experiments and simulations", booktitle="32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021", year="2021", pages="1--11", publisher="ICAS", address="32nd Congress of the International Council of the Aeronautical Sciences, Shanghai, China", isbn="9783932182914", url="https://www.icas.org/ICAS_ARCHIVE/ICAS2020/data/preview/ICAS2020_0017.htm" }