Abstract
When considering structural materials used in aerospace applications and time-dependent behavior, primary concern are material/microstructural changes and damage initiation and growth as a result of complex loading (creep and/or fatigue) scenarios and/or environmental attack. The degradation and damage in the material can result in a decrease in load-carrying capability. It is the decrease of capability as a function of time/usage/exposure that must be understood and predicted to optimize the design and life management strategies of aerospace components that comprise aircraft structures and turbine engines. Historically predictive models in these domains were empirically based; relying on accelerated test methods, extensive amounts of test data, and mathematical fits to that data. More recent research in time-dependent material properties has shifted the focus to understanding the underlying mechanisms of material degradation and developing predictive capabilities incorporating that understanding. Specifically, to realize more accurate and robust performance prognosis for structural materials, a shift from empirical descriptions of time-dependent material behavior to more mechanistic-based models that capture the physics of failure is needed.
The National Research Council (Materials Research to Meet 21st Century Defense Needs, Committee on Materials Research for Defense After Next, Harvey Schadler (Chair), National Materials Advisory Board, Division of Engineering and Physical Sciences, National Research Council (2003) the National Academies Press, Washington, DC, p 41–42) stated it exceptionally well in 2003 in their book Materials Research to Meet 21st Century Defense Needs, “This study has identified a need to put a science base under degradation and property/performance evolution so that mechanistic models can be used for life-cycle design. The vision is to have a sufficiently fundamental understanding of phenomena like corrosion, creep, stress and creep rupture, galvanic action, radiation effects, and long-term temperature effects on a wide range of engineering materials to enable the development of in situ and other real-time property sensors and mechanistic science-based performance models.”
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References
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Acknowledgements
The authors would like to acknowledge the talented staff, both current and past, within the Structural Materials Division at the Materials & Manufacturing Directorate whose research and dedication have been instrumental in affecting the design and life management strategies of structural materials employed by the USAF. Specifically we would like to highlight those whose research was cited and used as examples in this paper: TAP Parthasarathy, Randy Hay, Mike Cinibulk, Sathish Rao, Dennis Dimiduk, John Porter, Dennis Buchanan, Sushant Jha, Mike Caton, Jim Larsen, Andy Rosenberger, Eric Burba, Bob Brockman, Adam Pilchak, Alisha Hutson, Endel Iarve, Mike Braginsky, Eric Zhou, David Mollenhauer, and GP Tandon.
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Russ, S.M., John, R., Przybyla, C.P. (2018). Characterization and Simulation of Time-Dependent Response of Structural Materials for Aero Structures and Turbine Engines. In: Arzoumanidis, A., Silberstein, M., Amirkhizi, A. (eds) Challenges in Mechanics of Time Dependent Materials, Volume 2. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-63393-0_14
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