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Optimization of Fatigue Test Signal Compression Using the Wavelet Transform

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0729
Agency Tracking Number: N18B-029-0002
Amount: $124,883.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N18B-T029
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-08-31
Award End Date (Contract End Date): 2019-12-17
Small Business Information
13290 Evening Creek Drive South Suite 250
San Diego, CA 92128
United States
DUNS: 133709001
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tyler Van Fossen Tyler Van Fossen
 (303) 945-2376
Business Contact
 Joshua Davis
Phone: (858) 480-2028
Research Institution
 Sandia National Laboratories
 Briana Sanchez Briana Sanchez
Albuquerque, NM 87185
United States

 (505) 844-2087
 Federally Funded R&D Center (FFRDC)

Traditional approaches to accelerated fatigue testing rely on heuristic methods with thresholds based mostly on experience and engineering judgment. These methods generally do not apply to the multiaxial dynamic loading situations characteristic of most aerospace applications and often result in uncharacteristic fatigue damage and failure modes during testing. To overcome the limitations of traditional spectrum compression techniques, ATA Engineering, in collaboration with Sandia National Laboratories, proposes to develop a wavelet-based signal editing tool capable of creating optimally compressed fatigue test input signals while maintaining damage equivalence and other constraints. The tool will identify underlying signal features in the time-scale domain using multilevel wavelet decomposition and remove nondamaging features. Following signal reconstruction, successive time-domain signal editing will be performed using automated truncation techniques to maximize signal compression. Consideration of the transfer function between test inputs and stress responses enables fatigue damage to be matched at multiple response locations while maintaining load sequencing and allowing recovery of the full stress tensor, thus enabling support for multiaxial fatigue. In Phase I, the team will focus on methods development and will demonstrate feasibility on relevant single-input examples. In Phase II, experimental validation will be conducted, and the method will be extended to multiple-input applications.

* Information listed above is at the time of submission. *

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