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Multi-scale modeling of corrosion fatigue damage using peridynamics theory

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-13-C-0345
Agency Tracking Number: N13A-007-0005
Amount: $79,905.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N13A-T007
Solicitation Number: 2013.A
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-08-15
Award End Date (Contract End Date): 2014-03-15
Small Business Information
215 Wynn Dr., 5th Floor
Huntsville, AL -
United States
DUNS: 185169620
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Alexey Vasenkov
 Senior Research Scientist
 (256) 726-4886
Business Contact
 Deborah Phipps
Title: Contracts Manager
Phone: (256) 726-4884
Research Institution
 Sandia National Laboratories
 Stewart A Silling
1444 P.O. Box 5800 MS-1322 Sandia National Labora
Albuquerque, NM 87185-1322
United States

 (505) 844-3973
 Federally Funded R&D Center (FFRDC)

The overall objective of this effort is to identify, and validate a suitable methodology and the associated multi-scale computational technique for predictive assessment of corrosion fatigue damage in Naval aircraft. Annual costs for corrosion inspection and repair of military aircraft are estimated to exceed $1B. Predictive modeling of corrosion fatigue damage is challenging since it has to capture the interactions between cyclic loading and electrochemistry across disparate time and length scales. Several approaches ranging from atomistic Molecular Dynamics, kinetic Monte Carlo, and Density Functional Theory to continuum mass transport were reported. However, the coupling of these methods to address multi-scale nature of corrosion problem has fundamental problems and requires intensive computational resources and time requirements. CFDRC teamed with Sandia National Laboratories in this STTR project to develop alternative multi-scale computational technology using peridynamics theory for predicting assessment of corrosion fatigue damage from the first principles. Key chemical reactions in proposed technology will be modeled using ab initio-based ReaxFF approach introduced by Prof. van Duin. During Phase I, we will (1) assemble preliminary software and (2) demonstrate the feasibility of our software for selected case studies. The Phase II work will produce the final software implemented in a continuum code and a library of demonstration and validation cases for damage prediction in simulated service conditions.

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

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