TY - GEN
T1 - A MODEL FOR PROBABILISTIC GROWTH OF COMPLEX FATIGUE CRACK SHAPES
AU - Riddell, William T.
N1 - Funding Information:
The laboratory test specimens were manufactured from material donated by Boeing Missiles and Space Division. The laboratory tests and boundary element analyses were performed while the author was a graduate student under the guidance of Dr. Anthony Ingraffea at Cornell University, and were funded by NASA/Marshall Space Flight Center. The probabilistic model and analyses, and subsequent comparisons to the laboratory data were funded by the Office of Research and Development, Federal Railroad Administration (FRA). Ms. Claire Orth is the program manager. Mr. Jose Pena is the project manager for FRA research related to tank car safety.
Publisher Copyright:
Copyright © 2000 by ASME.
PY - 2000
Y1 - 2000
N2 - A model for probabilistic growth of complex fatigue crack shapes that will be used to perform sensitivity studies and to optimize inspection intervals for railroad tank cars is presented. In this model, crack growth is based on results from a deterministic crack growth analysis with additional terms to introduce stochastic behavior. The family of complex shapes that cracks grow through is parameterized by a single degree of freedom, which simplifies the probabilistic model. Comparisons between experimental and numerical results suggest that the probabilistic model is capable of representing realistic crack growth using reasonable crack growth parameters, which will enable the sensitivity and optimization studies for which the model is intended.
AB - A model for probabilistic growth of complex fatigue crack shapes that will be used to perform sensitivity studies and to optimize inspection intervals for railroad tank cars is presented. In this model, crack growth is based on results from a deterministic crack growth analysis with additional terms to introduce stochastic behavior. The family of complex shapes that cracks grow through is parameterized by a single degree of freedom, which simplifies the probabilistic model. Comparisons between experimental and numerical results suggest that the probabilistic model is capable of representing realistic crack growth using reasonable crack growth parameters, which will enable the sensitivity and optimization studies for which the model is intended.
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U2 - 10.1115/DETC2000/RSAFP-14474
DO - 10.1115/DETC2000/RSAFP-14474
M3 - Conference contribution
AN - SCOPUS:0012792309
T3 - Proceedings of the ASME Design Engineering Technical Conference
SP - 77
EP - 86
BT - 14th Reliability, Stress Analysis, and Failure Prevention Conference; 7th Flexible Assembly Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2000
Y2 - 10 September 2000 through 13 September 2000
ER -