Limited Experimental Displacement Data used for obtaining Full-Field Dynamic Stress Strain Information

2011 ◽  
pp. 201-217 ◽  
Author(s):  
Pawan Pingle ◽  
Peter Avitabile
Keyword(s):  
Dynamic Stress ◽  
Stress Strain ◽  
Full Field ◽  
Field Dynamic

Comparison of Full Field Strain Distributions to Predicted Strain Distributions from Limited Sets of Measured Data for SHM Applications

2013 ◽  
Vol 569-570 ◽  
pp. 1140-1147
Author(s):  
Peter Avitabile ◽  
Eric Harvey ◽  
Justin Ruddock
Keyword(s):  
Analytical Model ◽  
Operating Systems ◽  
Dynamic Stress ◽  
Measured Data ◽  
Analytical Prediction ◽  
Stress Strain ◽  
Full Field ◽  
Response Data ◽  
Field Dynamic ◽  
Field Information

Measured data from operating systems are often acquired to predict structural health of a system. With only a few measurement sensors, very limited understanding of the system can be obtained. Utilizing some recent novel expansion results, full field information can be obtained to identify a more complete strain description for the system. Using these results in conjunction with an analytical prediction of the expected strains, comparisons and differences can be identified using time response data. The expected full field stress-strain from the analytical model is compared to the predicted full field dynamic stress strain from limited sets of measured locations due to either operating or imposed loading on the structure. Differences in strain distributions at many time increments can provide indications of regions of possible damage in the structure. The work presented in this paper identifies the methodology as well as some results to illustrate the usefulness of the approach.

Extracting full-field dynamic strain response of a rotating wind turbine using photogrammetry

2015 ◽  
Author(s):  
Javad Baqersad ◽  
Peyman Poozesh ◽  
Christopher Niezrecki ◽  
Peter Avitabile
Keyword(s):  
Wind Turbine ◽  
Dynamic Strain ◽  
Strain Response ◽  
Full Field ◽  
Field Dynamic
Sign in / Sign up

Export Citation Format

Share Document