Title: A hybrid instrumented/computational modelling framework with lab-on-sensor design and calibration for structural behaviour monitoring
Authors: Genda Chen; Ying Huang
Addresses: Department of Civil, Architectural, and Environmental Engineering, Missouri University of Science and Technology, 328 Butler-Carlton Hall, 1401 N. Pine Street, Rolla, MO 65409-0030, USA ' Department of Civil and Environmental Engineering, North Dakota State University, 1410 N. 14 Street, Fargo, ND 58108-6050, USA
Abstract: 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 behaviours. 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 behaviour of critical structural elements and thus their material parameters and uncertainties. For other structural elements, material parameters 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.
Keywords: structural health monitoring; structural behaviour; computational model; bridge network.
International Journal of Sustainable Materials and Structural Systems, 2017 Vol.3 No.1, pp.13 - 32
Available online: 28 May 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article