Dynamic shape estimation by modal approach using fiber Bragg grating strain sensors

Stephan Rapp; Lae-Hyong Kang; Uwe C. Mueller; Jae-Hung Han; Horst Baier

doi:10.1117/12.715634

Translator Disclaimer

10 April 2007 Dynamic shape estimation by modal approach using fiber Bragg grating strain sensors

Stephan Rapp, Lae-Hyong Kang, Uwe C. Mueller, Jae-Hung Han, Horst Baier

Author Affiliations +

Proceedings Volume 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007; 65293E (2007) https://doi.org/10.1117/12.715634
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

A possible approach to meet the increasing performance requirements of lightweight structures in various engineering fields is the application of smart structures. One of the functions, which are required, is the observation of the structures' shape. During operation, however, the monitoring of displacement fields is difficult. This paper discusses the displacement field estimation of a dynamically excited plate using fiber Bragg grating strain sensors. Using a modal approach, it is possible to derive a transformation matrix to estimate the displacement field using only a few strain measurements. To reduce systematic estimation errors due to residual modes, a parameter study was performed and the sensor location optimized using the condition number of the transformation matrix as an objective function. An experiment with an optimized sensor configuration including 16 fiber Bragg grating strain sensors was performed to verify the method and the simulation results.

Citation Download Citation

Stephan Rapp, Lae-Hyong Kang, Uwe C. Mueller, Jae-Hung Han, and Horst Baier "Dynamic shape estimation by modal approach using fiber Bragg grating strain sensors", Proc. SPIE 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007, 65293E (10 April 2007); https://doi.org/10.1117/12.715634

ACCESS THE FULL ARTICLE