The fiber reinforced composite materials were widely used for aerospace aircrafts and missile weapons, and the delamination was a major problem which reduced the structural integrity and reliability of the solid rocket motor (SRM) composite shell seriously. In order to locate the delamination damage, the fiber Bragg grating (FBG) strain sensors network was embedded in SRM shell, and a multi-step approach of delamination damage location based on strain energy was performed: the strain field was measured in a scatter grid by the FBG strain sensors network in hydraulic testing; then the continuous displacement and strain field was reconstructed with relative sensors data using a moving least square (MLS) mesh-free fitting method; the strain energy of each subregions was calculated from the reconstructed data; finally the damaged subregions was identified successfully by singularity value of strain energy. The results of simulation and experiment indicated that the damage identification and location only required the measure of strain field of the SRM shell, and the presented approach achieved higher accuracy.
In the field of professional pilot training, flight simulator is becoming increasingly important, which draws more and more attention nowadays. For effectively guiding and assessing the training quality of pilots while being trained, the system needed to record the video of the flight data from monitors without bringing any changes to the flight simulator. The system extracted the frames from the video and then the images would be processed through binarization. So we could easily recognize the flight data from the binarization images by using the pattern recognition technology. Thus the flight track could be reconstructed in three dimension based on the OpenGL API, which will be very beneficial to the training. Altogether, the system can take advantage of the resources to guide and assess the training process of pilots more efficiently as well as developing the pilot training industry.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.