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Development of Atomistically-Informed Peridynamics Framework for Corrosion Fatigue Damage Prediction

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-15-C-0032
Agency Tracking Number: N13A-007-0144
Amount: $1,050,000.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N13A-T007
Solicitation Number: 2013.0
Timeline
Solicitation Year: 2013
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-01-20
Award End Date (Contract End Date): 2019-10-31
Small Business Information
1046 New Holland Avenue
Lancaster, PA 17601-5688
United States
DUNS: 126288336
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Srujan Rokkam
 Lead Engineer, Defense-Aerospace R&D
 (717) 205-0648
 srujan.rokkam@1-act.com
Business Contact
 Frank Morales
Title: Technical Point of Contact
Phone: (717) 295-6092
Email: Frank.Morales@1-act.com
Research Institution
 Florida State University
 Max Gunzburger
 
600 W College Ave
Tallahassee, FL 32306-1234
United States

 (850) 644-7060
 Nonprofit College or University
Abstract

Corrosive environments together with cyclic loading can lead to the formation of localized corrosion pits and corrosion fatigue cracks which can significantly deteriorate the structural integrity of aircraft components. The exact nature of corrosion fatigue damage is dependent on the competing multi-scale processes resulting from complex interactions between the structural material, its environment, local microstructure and mechanical variables. In order to assess the durability and integrity of aircraft components (especially of aging fleet) there is a need to develop new theoretical models which can predict corrosion fatigue damage by accounting the interactions between the multi-scale phenomena. In the Phase I program, ACT developed a novel corrosion modeling methodology using peridynamics and demonstrated its potential for physics based modeling of corrosion damage. In the Phase II program, ACT will continue the methodology development initiated in Phase I and develop a robust physics-based computational tool for accurate corrosion fatigue damage prediction across different length scales. The resulting tool will enable prediction of corrosion fatigue life in naval aircraft components exposed to different corrosive environments during their service life.

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

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