Influence of bending mode shape and trailing edge deflection on propulsive performance of flexible heaving fins using digital image correlation

2014 ◽  
Author(s):  
Ashok K. Kancharala ◽  
Kevin Dewillie ◽  
Michael K. Philen
Keyword(s):  
Digital Image Correlation ◽  
Mode Shape ◽  
Digital Image ◽  
Image Correlation ◽  
Trailing Edge ◽  
Propulsive Performance ◽  
Bending Mode

Mode shape–aided cable force determination using digital image correlation

2020 ◽  
pp. 147592172095216
Author(s):  
Banfu Yan ◽  
Derui Li ◽  
Wenbing Chen ◽  
Lu Deng ◽  
Xiaomo Jiang
Keyword(s):  
Digital Image Correlation ◽  
Mode Shape ◽  
Digital Image ◽  
Image Correlation ◽  
Effective Length ◽  
Estimation Methods ◽  
Mode Shapes ◽  
Correlation Technique ◽  
Remote Measurement ◽  
Cable Force

Assuming the distance between two nodal points of a specific cable vibration mode as the effective length of a pinned–pinned cable, mode shape–aided cable tension estimation methods are employed to estimate the cable force. This article proposes a framework based on digital image correlation technique for remote measurement of the dynamic displacement time history of cables in cable structures. Frequency domain decomposition technique is then used to extract the cable natural frequencies and mode shapes. Identified cable mode shapes are used along with a tensioned pinned–pinned cable model to estimate the cable force. Accuracy of the proposed methodology is investigated using the experimental data coming from a laboratory-scale test setup and hanger cables of a real-world arch bridge.

scholarly journals Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation

Materials ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 5931
Author(s):  
Jonas J. A. D’haen ◽  
Michael May ◽  
Octavian Knoll ◽  
Stefan Kerscher ◽  
Stefan Hiermaier
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Material Characterization ◽  
State Of The Art ◽  
Fiber Composites ◽  
Image Correlation ◽  
Carbon Fiber Composites ◽  
Failure Initiation ◽  
Bending Mode ◽  
Strain Data

Consistent and reproducible data are key for material characterization. This work presents digital image correlation (DIC) strain acquisition guidelines for compression-loaded carbon fiber composites. Additionally, a novel bending criterion is formulated which builds up on the DIC strain data so that it is able to completely replace state-of-the-art tactile strain devices. These guidelines are derived from a custom test setup that simultaneously investigates the front and side view of the specimen. They reflect both an observation and post-processing standpoint. It is found that the DIC-based strain progress matches closely with state-of-the-art strain gauges up to failure initiation. The new bending evaluation criterion allows the bending state—and therefore, the validity of the compression test—to be monitored analogously to the methodology defined in the standards. Furthermore, the new bending criterion eliminates a specific bending mode, caused by an offset of clamps, which cannot be detected by the traditional strain gauge-based monitoring approach.

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