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Verified fuselage section water impact modelling

Published online by Cambridge University Press:  16 October 2019

Y. Song*
Affiliation:
Crashworthiness for Aerospace Structure and Hybrids (CRASH) Lab, Department of Mechanical and Aerospace Engineering, University at Buffalo – The State University of New York, Buffalo, NY, USA
B. Horton*
Affiliation:
Crashworthiness for Aerospace Structure and Hybrids (CRASH) Lab, Department of Mechanical and Aerospace Engineering, University at Buffalo – The State University of New York, Buffalo, NY, USA
J. Bayandor*
Affiliation:
Crashworthiness for Aerospace Structure and Hybrids (CRASH) Lab, Department of Mechanical and Aerospace Engineering, University at Buffalo – The State University of New York, Buffalo, NY, USA

Abstract

Along many flight corridors, bodies of water serve as preferred emergency landing options. Thus, relevant scenarios must be investigated to improve aircraft crashworthiness in the event of an impact landing on water. Enhancing the damage tolerance of aircraft structures through repetitive experiments can, however, prove highly uneconomical. Such large-scale trials can be influenced by many factors of uncertainty adversely affecting the quality of the results. Therefore, the work presented in this study focuses in particular on evaluating a computational methodology perfected for aircraft water ditching using Coupled Lagrangian-Eulerian (CLE) that allows detailed prediction of structural response of a verified deformable fuselage section during such events. Validation of the fluid-structure interactive (FSI) strategy developed is conducted, thoroughly comparing the method against the analytical and experimental results of multiple wedge drop tests. Finally, the validated FSI strategy is applied to a high-fidelity fuselage section model impacting water to simulate and assess a realistic ditching scenario.

Type
Research Article
Copyright
© Royal Aeronautical Society 2019 

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Footnotes

A version of this paper was presented at the 31st ICAS Congress of the International Council of the Aeronautical Sciences in Belo Horizonte, Brazil in September 2018.

References

REFERENCES

NTSB. Aircraft Accident Report: Loss of Thrust in Both Engines after Encountering a Flock of Birds and Subsequent Ditching on the Hudson River US Airways Flight 1549 Airbus A320-214, N106US, Washington, D.C., 2010.Google Scholar
Jackson, K.E. and Fasanella, E.L. Crash Simulation of Vertical Drop Tests of Two Boeing 737 Fuselage Sections, DOT/FAA/AR-02/62, 2002.Google Scholar
Satterwhite, M. and Bayandor, J. Development and validation of fluid-structure interaction in aircraft crashworthiness studies, ASME 2013 Fluids Engineering Division Summer Meeting, FEDSM2013, Incline Village, NV, 7–11 July 2013.Google Scholar
Jackson, K.E., Boitnott, R.L., Fasanella, E.L., Jones, L.E., and Lyle, K.H. A history of full-scale aircraft and rotorcraft crash testing and simulation at NASA Langley Research Center, Fourth Triennial International Fire and Cabin Safety Research Conference, Lisbon, Portugal, 2004.Google Scholar
Hua, C., Fang, C., and Cheng, J. Simulation of fluid-solid interaction on water ditching of an airplane by Ale Method, J Hydrodynamics, Ser. B., 2011, 23, (5), pp. 637642. doi:10.1016/S1001-6058(10)60159-X.CrossRefGoogle Scholar
Hu, W., Wang, Y.H., and Chen, C.H. Numerical simulation of aircraft ditching based on ALE Method, Applied Mechanics and Materials, 2014, 668–669, 490493. doi:10.4028/www.scientific.net/AMM.668-669.490CrossRefGoogle Scholar
Song, Y., Horton, B., Perino, S., Thurber, A., and Bayandor, J. A contribution to full-scale high-fidelity aircraft progressive dynamic damage modeling for certification by analysis, Int J Crashworthiness, 2018, 24, pp. 114. doi:10.1080/13588265.2018.1424683 Google Scholar
Anghileri, M., Castelletti, L.M.L., Francesconi, E., Milanese, A., and Pittofrati, M. Rigid body water impact-experimental tests and numerical simulations using the SPH Method, Int J Impact Engineering, 2011, 38, (4), 141151. doi:10.1016/j.ijimpeng.2010.11.002.CrossRefGoogle Scholar
Siemann, M.H. and Langrand, B. Coupled fluid-structure computational methods for aircraft ditching simulations: comparison of ALE-FE and SPH-FE approaches, Computers and Structures, 2017, 188, pp. 95108. doi:10.1016/j.compstruc.2017.04.004 CrossRefGoogle Scholar
Horton, B., Song, Y., Feaster, J., and Bayandor, J. Benchmarking of computational fluid methodologies in resolving shear-driven flow fields, J Fluids Engineering, 2017, 139, (11), 111402. doi:10.1115/1.4036590 CrossRefGoogle Scholar
Hallquist, J.O. LS-DYNA Theory Manual, Livermore, CA, 2015.Google Scholar
Alexander, E., Carey, B., DiNardo, M., Gill, H., Gonzalez, J., Harry, M., Isidro, A., Judge, S., Puckett, K., Schoepfer, G., Song, Y., Tilghman, M., Siddens, A., Satterwhite, M., and Bayandor, J. Validated aerospace soft impact modeling platform, 6th International Symposium on Flow Applications in Aerospace, Rio Grande, Puerto Rico, 2012. doi:10.1115/FEDSM2012-72459CrossRefGoogle Scholar
Zhao, R., Faltinsen, O., and Aarsnes., J., Water entry of arbitrary two-dimensional sections with and without flow separation, Proceedings of the 21st Symposium on Naval Hydrodynamics, National Academy Press, Washington, DC, 1996, 408–423.Google Scholar
Noh, W. F. CEL: A Time-Dependent, Two-Space-Dimensional, Coupled Eulerian-Lagrange Code, Lawrence Radiation Lab., University of California, Livermore, 1963.CrossRefGoogle Scholar
Trulio, J.G. Theory and Structure of the AFTON Codes, Tech. Rep., AFWL-TR-66-19, Nowbury Park, CA, 1966.Google Scholar
Hughes, T.J.R., Liu, W.K., and Zimmermann, T.K. Lagrangian-Eulerian finite element formulation for incompressible viscous flows, Computer Methods in Applied Mechanics and Engineering, 1981, 29, (3), 329349.CrossRefGoogle Scholar
Karimi, A., Navidbakhsh, M., Razaghi, R., and Haghpanahi, M. A computational fluid-structure interaction model for plaque vulnerability assessment in atherosclerotic human coronary arteries, J Applied Physics, 2014, 115, 144702. doi:10.1063/1.4870945 CrossRefGoogle Scholar
Van Leer, B. Towards the ultimate conservative difference scheme. IV. A new approach to numerical convection, J Computational Physics, 1977, 23, 276299. doi:10.1016/ 0021-9991(77)90095-X CrossRefGoogle Scholar
Dukowicz, J.K. and Kodis, J.W. Accurate conservative remapping (rezoning) for arbitrary Lagrangian-Eulerian computations, SIAM J Scientific and Statistical Computing, 1987, 8, (3), 305321. doi:10.1137/0908037 CrossRefGoogle Scholar
Shin, Y.S., Lee, M., Lam, K.Y., and Yeo, K.S., Modeling mitigation effects of watershield on shock waves, Shock and Vibration, 1998, 5, (4), 225234. doi:10.1155/1998/782032 CrossRefGoogle Scholar
Ghia, U., Ghia, K., and Shin, C. High-re solutions for incompressible flow using the Navier-Stokes equations and a multigrid method, J Computational Physics 48, (3), 387411. doi:10.1016/0021-9991(82)90058-4 CrossRefGoogle Scholar
Celik, I.B., Ghia, U., Roache, P.J., Freitas, C.J., Coleman, H., and Raad, P.E., Procedure for estimation and reporting of uncertainty due to discretization in CFD applications, J Fluids Engineering, 2008, 130, (7), 078001. doi:10.1115/1.2960953 Google Scholar