Digital Image Correlation Data Processing and Analysis Techniques to Enhance Test Data Assessment and Improve Structural Simulations

Gardner, Nathaniel W ; Hilburger, Mark W ; Haynie, Waddy T ; Lindell, Michael C ; Waters, W Allen

关键词: BUCKLING;    DATA CORRELATION;    DATA PROCESSING;    DIGITAL TECHNIQUES;    IMAGE CORRELATORS;    STRAIN MEASUREMENT;    COMPOSITE STRUCTURES;    DISPLACEMENT MEASUREMENT;    LAUNCH VEHICLES;    METAL SHELLS;    SHELLS (STRUCTURAL FORMS);    TRANSDUCERS;   

RP-ID  :  NF1676L-27356

学科分类：软件

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

The NASA Shell Buckling Knockdown Factor Project (SBKF) was established in 2007 by the NASA Engineering and Safety Center (NESC) with the primary goal to develop new analysis-based buckling design factors (a.k.a. knockdown factors) and high-fidelity buckling simulations for selected launch-vehicle-like cylindrical shell structures. A series of tests are being conducted on large-scale metallic and composite cylindrical shells in order to provide validation data for these new factors and simulations. However, the validation of these new factors and simulations is quite demanding and requires test data that is commensurate with their fidelity. Traditional instrumentation, such as linear variable displacement transducers (LVDTs) and electrical-resistance strain gages serve a critical role in providing accurate displacement and strain measurements in these tests, but only allow for data to be recorded at a select number of point locations and are not sufficient to provide all the necessary validation data. Advanced measurement technologies can be used effectively to complement traditional instrumentation and gather additional data required to validate these structural simulations. In particular, three-dimensional digital image correlation (DIC) was implemented during SBKF cylinder testing to characterize the full-field displacement and strain behavior. Commercially available VIC-3DTM software and user-written data processing scripts were used to generate valuable data and insight into the complex buckling response of the cylinders that otherwise would be impossible to gather using traditional instrumentation. In addition, the measured data from DIC was used to verify measured test data obtained from other instrumentation, enhance test and analysis correlation, and help identify the root cause of anomalous test results that may have gone unexplained if only traditional instrumentation was used. Selected test results that demonstrate the use of DIC on the SBKF cylinders are presented and a portion of the data processing methods are described.