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Flight structures fundamental research trends and directions

Published online by Cambridge University Press:  03 February 2016

Victor Giurgiutiu
Victor Giurgiutiu*
Affiliation:
[email protected], Air Force Office of Scientific Research, Structural Mechanics Program, Arlington, VA, USA
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Abstract

The paper presents an overview of the fundamental research performed in the US in the field of flight structures under the sponsorship of the Air Force Office of Scientific Research (AFOSR). After presenting a general overview of AFOSR, the paper focuses on the structural mechanics program. Three large applications areas are considered: (a) future flight structures; (b) structural sustainment; (c) structural dynamics and vibration control. These three broad areas are covered at various levels of complexity and detail. Currently supported topics are presented and major funding and results are discussed. The paper ends with summary and conclusions.

Type
Research Article
Information
The Aeronautical Journal , Volume 113 , Issue 1144: Flight structures fundamental research in the United States of America: A Special Issue , June 2009 , pp. 331 - 337
Copyright
Copyright © Royal Aeronautical Society 2009 

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References

1. Air Force Office of Scientific Research public website http://www.wpafb.af.mil/AFRL/afosr/ Google Scholar
2. Moorhouse, D.J., Sanders, B., Von Spakovsky, M. and Butt, J., Benefits and design challenges of adaptive structures for morphing aircraft, Royal Aeronautical Society, Aeronaut J, 2006, 110, (1105), pp 157–162.Google Scholar
3. Inoyama, D., Sanders, B. and Joo, J., Topology synthesis of distributed actuation systems for morphing wing structures, J Aircr, 2007, 44, (4), pp 1205–1213.Google Scholar
4. Bejan, A. and Lorente, S., Design with Constructal Theory, Wiley, Hoboken, USA, 2008.Google Scholar
5. Kim, S., Lorente, S. and Bejan, A., Vascularized materials with heating from one side and coolant forced from the other side, Int J Heat Mass Transfer, 2007, 50, pp 3498–3506.Google Scholar
6. Bejan, A., Lorente, S. and Wang, K.-M., Networks of channels for self-healing composite materials, J Appl Phys, 2006, 100, 033528.Google Scholar
7. Periannan, V., Von Spakovsky, M. and Moorhouse, D., A study of various energy- and exergy-based optimisation metrics for the design of high performance aircraft systems, Royal Aeronautical Society, Aeronaut J, August 2008, 112, (1134), pp 449–458.Google Scholar
8. Riggins, D., Taylor, T., Terhune, L. and Moorhouse, D., Methods for the design of energy-efficient high-speed aerospace vehicles, Royal Aeronautical Society, Aeronaut J, May 2007, 111, (1119) pp 297–309.Google Scholar
9. Weisshaar, T., New aircraft systems concepts-towards new horizons in aeroelasticity, NATO Research Technology Organization Research Symposium, RTO-MP-AVT-152, Loen, Norway, 3-8 May 2008.Google Scholar
10. Mayeur, J.R., McDowell, D.L. and Neu, R.W., Crystal plasticity simulations of fretting of Ti-6Al-4V in partial slip regime considering effects of texture, Computational Materials Science, 41, (41), pp 356–365.Google Scholar
11. Groeber, M.J., Ghosh, S., Uchic, M.D. and Dimiduk, D., A framework for automated analysis and representation of 3d polycrystalline microstructures, Part 1: Statistical characterization, Acta Materialia, April 2008, 56, (6), pp 1257–1273.Google Scholar
12. Miller, M.P., Park, J.-S., Dawson, P.R. and Han, T.-S., Measuring and modelling distributions of stress state in deforming polycrystals, Acta Materialia, 56, 2008, pp 3927–3939. (www.sciencedirect.com).Google Scholar
13. Jain, J. and Ghosh, S., A 3D continuum damage mechanics model from micromechanical analysis of fiber reinforced composites with interfacial damage, ASME J Applied Mechanics, May 2008, 75, (3), 031011.Google Scholar
14. Salas, K.I., Cesnik, C.E.S. and Raghavan, A., Modelling of wedge-shaped anisotropic piezocomposite transducer for guided wave-based structural health monitoring, 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 23 – 26 April 2007, Honolulu, Hawaii, USA, paper # AIAA 2007-1723 ppler vibrometer, 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 23 – 26 April 2007, Honolulu, Hawaii, USA, paper # AIAA 2007-1727.Google Scholar
16. Sabra, K., Srivastava, A., Lanza Di Scalea, F., Bartoli, I., Rizzo, P. and Conti, S., Structural health monitoring by extraction of coherent guided waves from diffuse fields, J Acoustical Society of America, 2008, 123, (1), EL8-EL13.Google Scholar
17. Fasel, T., Kennel, M.B., Todd, M.D., Clayton, E.H., Stabb, M. and Park, G., Damage state evaluation of experimental and simulated bolted joints using chaotic ultrasonic waves, J Smart Structures and Systems, 2008 (in review).Google Scholar
18. Pearson, J., Zikry, M.A., Prabhugoud, M. and Peters, K., Global-local assessment of low-velocity impact damage in woven composites, J Composite Materials, 2007, 41, pp 2759–2783.Google Scholar
19. Banerjee, S. and Kundu, T., Elastic wave field computation in multi-layered non-planar solid structures: A mesh-free semi-analytical approach, J Acoustical Society of America, 2008, (2008), pp 1371–1382.Google Scholar
20. Ramu, P., Kim, N.H. and Haftka, R.T., Inverse measure-based tail modelling approach for structural reliability estimation, 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 23 – 26 April 2007, Honolulu, Hawaii, USA, paper # AIAA 2007-1947.Google Scholar
21. Acar, E., An, J., Haftka, R.T., Kim, N.-H., Ifju, P. J. and Johnson, T. F., Options for using data to update failure stress, 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 23 – 26 April 2007, Honolulu, Hawaii, USA, paper # AIAA 2007-1971.Google Scholar
22. Jha, S.K., Caton, M.J. and Larsen, J.M. (2006) A new paradigm of fatigue variability behavior and implications for life prediction, MaterialsScienceand Engineering, SeriesA, doi:10.1016/j.msea.2006.10.171.Google Scholar
23. Knopp, J.S., Aldrin, J.C. and Jata, K., Computational methods in eddy current crack detection at fastener sites in multi-layer structures, Nondestructive Testing and Evaluation, 2008, pp 1–18.Google Scholar
24. Michaels, J.E., Detection, localization, and characterization of damage in plates with in situ arrays of spatially distributed ultrasonic sensors, Smart Materials and Structures, 17, 2008, article 035035 (15pp).Google Scholar
25. Giurgiutiu, V., Tuned lamb-wave excitation and detection with piezoelectric wafer active sensors for structural health monitoring, J Intelligent Material Systems and Structures, Sage Pub., April 2005, 16, (4), pp 291–306.Google Scholar
26. Giurgiutiu, V., Bao, J. and Zagrai, A.N. (2006) Structural health monitoring system utilizing guided Lamb waves embedded ultrasonic structural radar¸ U.S. Patent Office #6,996,480 of 7 February, 2006.Google Scholar
27. Giurgiutiu, V., Yu, L., Kendall, J. and Jenkins, C., In situ imaging of crack growth with piezoelectric wafer active sensors, AIAA J, November 2007, 45, (11), pp 2758–2769.Google Scholar
28. Giurgiutiu, V., Lin, B. and Doane, J., Durability and survivability of piezoelectric wafer active sensors mounted on aluminum structures for aerospace vehicle health monitoring Aeromat-2005, Integrated Systems Health Monitoring Session, 6-9 June 2005, Orlando, FL, USA.Google Scholar
29. Chattopadhyay, A., Das, S. and Coelho, C.K., Damage Diagnosis using a Kernel-based Method, Insight – Non-Destructive testing and Condition Monitoring, 2007, 49, (8), pp 451–458.Google Scholar
30. Peralta, P., Choi, S.H. and Gee, J., Experimental quantification of the plastic blunting process for stage II fatigue crack growth in one-phase metallic materials, Int J Plasticity, 23, 2007, pp 1763–1795.Google Scholar
31. Spicer, J.B., Nonlinear effects on impurity segregation in edge dislocation strain fields, scripta Materialia, 59, 2008, pp 377–380.Google Scholar
32. Das, S., Ghanem, R. and Spall, J.C., Asymptotic sampling distribution for polynomial chaos representation of data: A maximum entropy and Fisher information approach, SIAM J Scientific Computing, 30, (30), 2008, pp 2207–2234.Google Scholar
33. Bai, X.M., Shah, B., Keer, L.M., Wang, Q.J. and Snurr, R.Q., Particle dynamics simulations of a piston-based particle damper, Powder Technology, 2008, in press.Google Scholar
34. Diaz, A.R. and Mukherjee, R., Optimal joint placement and modal disparity in control of flexible structures, Structural and Multidisciplinary Optimization, July 2008, 86, (13-14), pp 1456–1462.Google Scholar
35. Tarazaga, P.A., Inman, D.J. and Wilkie, W.K., Control of a space rigidizable inflatable boom using macro-fiber composite actuators, J Vibration and Control, 2007, 13, (7), pp 935–950.Google Scholar
36. Masri, S.F., Ghanem, R., Arrate, F. and Caffrey, J., Stochastic nonparametric models of hysteretic oscillators, AIAA J, October 2006, 44, (10), pp 2319–2330.Google Scholar
37. Lucia, D.J., Beran, P.S. and Silva, W.A., Reduced-order modelling: new approaches for computational physics, Progress in Aerospace Sciences, 2004, 40, pp 51–117, www.elsevier.com/locate/paerosci Google Scholar
38. Cizmas, P.G.A. and Gargoloff, J.I., Mesh generation and deformation algorithm for aeroelasticity simulations, J Aircr, 2008, 45, (3), May-June 2008, pp 1062–1066.Google Scholar
39. Starkey, R.P., Liu, D.D., Baldelli, D.H., Chang, R. and Chen, P.C., Rapid conceptual design and analysis of a hypersonic air-breathing missile, AIAA-2008-2590.Google Scholar
40. Lee, Y.S., Vakakis, A.F., Bergman, L.A., McFarland, D.M. and Kerschen, G., Suppression of aeroelastic instability by means of broadband passive targeted energy transfers, Part I: Theory. AIAA J, 2007, 45, (3), pp 693–711.Google Scholar
41. Lee, Y.S., Kerschen, G, McFarland, D.M., Hill, W.J., Nichkawde, C., Strganac, T.W., Bergman, L.A. and Vakakis, A.F., Suppression of aeroelastic instability by means of broadband passive targeted energy transfers, Part II: experiments, AIAA J, 2007, 45, (12), pp 2391–2400.Google Scholar
42. Vanella, M., Fitzgerald, T., Preidikman, S., Balaras, E. and Balachandran, B., Influence of flexibility on the aerodynamic performance of a hovering wing (in press).Google Scholar