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Multi-scale Peridynamics Theory for Corrosion Fatigue Damage Prediction

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-13-C-0344
Agency Tracking Number: N13A-007-0017
Amount: $79,969.00
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
3190 Fairview Park Drive Suite 650
Falls Church, VA -
United States
DUNS: 010983174
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nagaraja Iyyer
 Manager of Engineer Servi
 (703) 226-4070
Business Contact
 Scott Bradfield
Title: President
Phone: (703) 226-4061
Research Institution
 Cornell University
 Susan L Jones
373 Pine Tree Road
Ithaca, NY 14850-
United States

 (607) 255-2945
 Nonprofit College or University

TDA and its University partner, Cornell University, first address the stress assisted corrosion crack growth from concurrent multi-scale modeling through atomistic simulations in order to formulate and calibrate mesoscale Peridynamics model. Initially, the multi-scale CADD simulations will utilize reactive force field potentials for the 7075-T6Al in water to simulate stress corrosion cracking and then extend to study the near threshold crack growth behavior in water. Future efforts will utilize appropriate force field potentials for 7075-T6Al under various NaCl concentrations and also refine crack tip simulations using linearly scaled density functional theory inputs. Peridynamic kernel formulations will be investigated for improvement and calibration using the CADD simulations input and also address issues arising from skin effect near the interface and from horizon length to deal with corrosion. Both model predictions will be verified and validated against a variety of laboratory data. Stress-free model predictions will be compared and contrasted with molecular automata methodologies. Utilizing all work efforts, we will also develop appropriate computational strategies in a hybrid framework.

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

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