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Systematic Fatigue Test Spectrum Editing Using Wavelet Transformations

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0140
Agency Tracking Number: N18B-029-0012
Amount: $999,920.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18B-T029
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-12-30
Award End Date (Contract End Date): 2023-01-03
Small Business Information
3190 Fairview Park Drive Suite 650
Falls Church, VA 22042
United States
DUNS: 010983174
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Anahita Imanian
 Aerospace Engineer
 (703) 226-4078
Business Contact
 Patty Walk
Phone: (703) 226-4064
Research Institution
 Arizona State University
 Lindsey A. Forry Lindsey A. Forry
660 South Mill Avenue Suite 312
Tempe, AZ 85281
United States

 (480) 727-4203
 Nonprofit College or University

Our Phase I effort showed that spectrum compression could be successfully achieved via Wavelet Transform (WT) based Fatigue Spectrum Editing (FSE) techniques for uniaxial HCF spectra cases. For example, 85% reduction in spectrum length can be achieved in the case of the original FELIX spectrum. However, the extension of the same FSE technique to multi-axial HCF cases showed less desirable results as we could only attain up to 50% reduction of the original spectrum in the example cases we investigated. To achieve higher spectrum compression levels cases in multiaxial HCF cases as well as for uniaxial HFC+LCF cases involving load interaction effects, we therefore propose further enhancement and development efforts in the following areas: algorithm enhancements to cover LCF and HCF cases, experimental effort for verification and validation, and improve computational efficiency through a distributed computational framework. The above proposed research effort will also support in the completion of our envisioned framework that has the signal generation and preprocessing module, signal processing module, damage calculation module, optimization module and validation experiments to achieve the desired FSE performances. Ultimately, this research effort will provide certification of FSE techniques in spectrum editing techniques for most applications.

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

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