Catbas, F. N. Primary Author mixed material bibliography Taylor & Francis 2012 en English

Computer Software

Fiber optic sensors (FOS) offer a number of advantages for the purpose of long term Structural Health Monitoring, such as distributed sensing capability, durability, stability and immunity to electrical noise. There are different FOS technologies with a wide range of performance metrics that define their suitability for different applications. One of the most commonly used fiber optic sensing technologies is point sensors with Fiber Bragg Gratings (FBG) sensors. It is also critical to couple such sensing capabilities with effective precise data analysis methods that can identify structural changes and detect possible damage. In this study, robust regression analysis (RRA) is employed to analyze strain data collected with FBG sensors that are installed on a laboratory 4-span bridge. In order to test the efficiency of this non-parametric data analysis approach, several tests are conducted with different damage scenarios in the laboratory environment. The efficiency of both FBG sensors and robust regression algorithm for detection and localizing damage is explored. Based on the findings presented in this paper, the RRA coupled with fiber bragg grating sensors can be deemed to deliver promising results to observe and detect both local and global damage implemented on the structure. BRIDGES 624.21(063) Perpustakaan Direktorat Bina Teknik Jalan dan Jembatan Direktorat Jenderal Bina Marga - Kementerian Pekerjaan Umum (NPP: 3273244A00000001) 0000020772 My Library 20049 machine generated