Fire Simulation and Residual Strength Prediction Tool for Aluminum Ship Structures During and After Fire

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$99,995.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
N00014-10-M-0442
Award Id:
n/a
Agency Tracking Number:
N102-173-0578
Solicitation Year:
2010
Solicitation Topic Code:
N102-173
Solicitation Number:
2010.2
Small Business Information
11 Alscot Drive, East Lyme, CT, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
610056405
Principal Investigator:
LiGuo Chen
Senior Engineer
(609) 356-5115
lgchen@gem-consultant.com
Business Contact:
Jim Lua
President
(609) 356-5115
jlua@gem-consultant.com
Research Institution:
Stub




Abstract
A fully coupled fire-structure interaction module will be developed and implemented within GEM"s Abaqus Fire Interface Simulator Toolkit (AFIST) for fire response prediction in aluminum ship structures. This enhanced AFIST will be able to characterize a 3D complex geometry where its topology is not in conformation with a rectilinear CFD grid. Given the strong interaction between the local flow environment and the deformed aluminum structure, an immersed boundary method will be implemented within the customized Fire Dynamics Simulator (FDS). A sharp interface characterization of the solid boundary will be created and the mapping of the boundary conditions from the interface to its immersed boundary nodes will be constructed through local interpolation. A kinematic description of the moving boundary will be accomplished via its coupling with Abaqus. GEM has secured commitments for tool validation support from Virginia Tech and application guidance from NGSB and Navy Lab. The multi-faceted feasibility study consists of the implementation of the immersed boundary method in AFIST, verification of the accuracy of the improved coupling method using an existing CFD/Abaqus coupling toolkit, exploration of the effects of structural deformation on the local flow field, and performance of subcomponent level validation using VT"s pool fire data.

* information listed above is at the time of submission.

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