A Hybrid Instrumented/Computational Modelling Framework with Lab-on-Sensor Design and Calibration for Structural Behaviour Monitoring
In this paper, societal needs on the use of SHM in bridge preservation will first be reviewed and used to promote the re-alignment of SHM outcomes to daily practices in bridge inspection and maintenance. A hybrid instrumented/computational modelling framework to extend the emerging concept of lab-on-sensor design and calibration into bridge preservation application will then be envisioned with the acquisition of mission-critical data for structural behaviors. Next, current sensor technologies and future opportunities along this line of research will be discussed with several examples. Finally, the acquired data will be used to quantify the nonlinear behavior of critical structural elements and thus their material parameters and uncertainties. For other structural elements, material prarameters and uncertainties will be statistically correlated to those of the critical structural elements in a multi-scale computational model of representative bridges in a transportation network.
G. Chen and Y. Huang, "A Hybrid Instrumented/Computational Modelling Framework with Lab-on-Sensor Design and Calibration for Structural Behaviour Monitoring," International Journal of Sustainable Materials and Structural Systems, vol. 3, no. 1, pp. 13-32, Inderscience Enterprises Ltd., Jan 2017.
The definitive version is available at https://doi.org/10.1504/IJSMSS.2017.092249
Civil, Architectural and Environmental Engineering
INSPIRE - University Transportation Center
Keywords and Phrases
Structural Health Monitoring; Structural Behavior; Computational Model; Bridge Network
International Standard Serial Number (ISSN)
Article - Journal
© 2017 Inderscience Enterprises Ltd., All rights reserved.
01 Jan 2017