TY - GEN
T1 - FATIGUE CRACK PROPAGATION under VARIABLE-AMPLITUDE LOAD
T2 - ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998
AU - Ray, Asok
AU - Patankar, Ravindra
N1 - Publisher Copyright:
© 1998 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 1998
Y1 - 1998
N2 - This paper is the second part in a two-part sequence and presents a stochastic model of fatigue crack propagation in metallic materials that are commonly encountered in mechanical structures and machine components of complex systems (e.g., aircraft, spacecraft, ships and submarines, and power plants). The stochastic model is built upon the deterministic state-space model of fatigue crack growth under variable-amplitude load presented in the first part. Predictions of the stochastic model are in agreement with the experimental data for specimens made of 2024-T3 and 7075-T6 aluminum alloys and Ti- 6A1-4V alloy. The (non-stationary) statistics of the crack growth process under (tensile) variable-amplitude load can be obtained in a closed form without solving stochastic differential equations in the Wiener or Ito setting. The crack propagation model thus allows realtime execution of decision algorithms for risk assessment and life prediction on inexpensive platforms such as a Pentium processor.
AB - This paper is the second part in a two-part sequence and presents a stochastic model of fatigue crack propagation in metallic materials that are commonly encountered in mechanical structures and machine components of complex systems (e.g., aircraft, spacecraft, ships and submarines, and power plants). The stochastic model is built upon the deterministic state-space model of fatigue crack growth under variable-amplitude load presented in the first part. Predictions of the stochastic model are in agreement with the experimental data for specimens made of 2024-T3 and 7075-T6 aluminum alloys and Ti- 6A1-4V alloy. The (non-stationary) statistics of the crack growth process under (tensile) variable-amplitude load can be obtained in a closed form without solving stochastic differential equations in the Wiener or Ito setting. The crack propagation model thus allows realtime execution of decision algorithms for risk assessment and life prediction on inexpensive platforms such as a Pentium processor.
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U2 - 10.1115/IMECE1998-0229
DO - 10.1115/IMECE1998-0229
M3 - Conference contribution
AN - SCOPUS:85124359309
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
SP - 23
EP - 30
BT - Dynamic Systems and Control
PB - American Society of Mechanical Engineers (ASME)
Y2 - 15 November 1998 through 20 November 1998
ER -