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.

DOI: 10.1504/IJSMSS.2017.092249

International Journal of Sustainable Materials and Structural Systems, 2017 Vol.3 No.1, pp.13 - 32

Received: 08 Dec 2016
Accepted: 03 Jan 2017
Published online: 12 Jun 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article