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Automatic Incorporation of Flaws into Cad and FEA Models Based On Measured NDE DataAutomatic incorporation of non-destructive evaluation (NDE) data into CAD and finite element (FE) models for structural analysis is essential for accurate residual-life and strength analyses of composite structures. Currently, two significant but independent challenges exist for incorporating NDE data in such analyses: interpretation of the NDE signals to locate and characterize the structural defects and the incorporation of that information into structural analysis tools. The first challenge will be addressed through linear inversion of calculated synthetic responses generated by a simulation engine to evaluate flaw size, location, and other characteristics. The second challenge will be addressed by building on prior and parallel defect modeling efforts to integrate suitable flaw models into the CAD/finite-element representation of a specimen. Ultrasonic NDE information is usually represented using C-Scans of time-of-flight or intensity information. Other modalities such as thermography and computed tomography (CT) could also be used to characterize the structure. This information will first be projected into material coordinates and then aligned with the specimen’s finite element mesh. The NDE data can then be incorporated by inserting flaw geometry into the CAD and FE analysis model and automatic modification of local material properties and boundary conditions. This process will enable the use of structural analysis tools even for practical modalities such as ultrasound and thermography which may not directly give accurate-enough geometric information to fully define the flaw. The full flaw characteristics will be inferred using prior expert and modeling knowledge to categorize flaw signatures. Outputs for this project will include demonstrated methods for creating structural analysis geometric models that incorporate flaw characterization information; these models can then be used directly in popular commercial FEA software. In addition, the primary deliverable for the project will include a software that will be able to automatically incorporate different kinds of flaws into an existing FE models. The models will be generated in standard file formats to enable direct import into the analysis software.
Document ID
20200003159
Acquisition Source
Langley Research Center
Document Type
Contractor or Grantee Report
Authors
Adarsh Krishnamurthy
(Iowa State University Ames, Iowa, United States)
Stephen D Holland
(Iowa State University Ames, Iowa, United States)
Date Acquired
May 6, 2020
Publication Date
June 1, 2019
Subject Category
Computer Programming And Software
Report/Patent Number
NF1676L-33567
Report Number: NF1676L-33567
Funding Number(s)
WBS: 081876.02.07.02.01.01
CONTRACT_GRANT: NNL15AA12C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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