TY - JOUR
T1 - The fatigue damage squeezing method
T2 - A signal compression strategy for accelerated life testing
AU - Van Fossen, Tyler
AU - Rupp, Cory
AU - Hunt, Trevor
AU - Schichtel, Jacob
AU - Chattopadhyay, Aditi
AU - Phan, Nam
N1 - Funding Information:
This research was sponsored by NAVAIR under the Small Business Technology Transfer (STTR) program, topic number N18B-T029 (Phase I contract: N68335-18-C-0729; Phase II contract: N68335-20-C-0151).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/6
Y1 - 2023/6
N2 - Fatigue testing using full-length, in-service signals has historically been both time- and cost-prohibitive because the field environments of the test article typically reflect its multiyear service life. Current methods for accelerating fatigue tests do exist, but they often rely on heuristics, do not apply to multiaxial or dynamic loading situations, and/or use truncation methods that remove important load interaction effects, which may ultimately lead to uncharacteristic failure modes during testing. This paper presents the fatigue damage squeezing (FDS) method, a novel approach for systematically compressing fatigue test signals using the continuous wavelet transform. The FDS method uses an integrated fatigue model and predictions from finite element analysis to produce compressed signals that not only exhibit spectral and temporal characteristics that are similar to the original signals but also produce representative failure modes in a fraction of the test time. The method was validated using uniaxial and biaxial experimental tests with proportional loading conditions.
AB - Fatigue testing using full-length, in-service signals has historically been both time- and cost-prohibitive because the field environments of the test article typically reflect its multiyear service life. Current methods for accelerating fatigue tests do exist, but they often rely on heuristics, do not apply to multiaxial or dynamic loading situations, and/or use truncation methods that remove important load interaction effects, which may ultimately lead to uncharacteristic failure modes during testing. This paper presents the fatigue damage squeezing (FDS) method, a novel approach for systematically compressing fatigue test signals using the continuous wavelet transform. The FDS method uses an integrated fatigue model and predictions from finite element analysis to produce compressed signals that not only exhibit spectral and temporal characteristics that are similar to the original signals but also produce representative failure modes in a fraction of the test time. The method was validated using uniaxial and biaxial experimental tests with proportional loading conditions.
KW - Accelerated testing
KW - Fatigue test methods
KW - Spectrum editing/compression
KW - Wavelet transform
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U2 - 10.1016/j.ijfatigue.2023.107565
DO - 10.1016/j.ijfatigue.2023.107565
M3 - Article
AN - SCOPUS:85148545268
SN - 0142-1123
VL - 171
JO - International Journal of Fatigue
JF - International Journal of Fatigue
M1 - 107565
ER -