RESEARCH ARTICLE
Structural Health Monitoring of Bridges Via Energy Harvesting Sensor Nodes
N. Bonessio1, P. Zappi2, G. Benzoni1, T. Simunic Rosing2, G. Lomiento3, *
Article Information
Identifiers and Pagination:
Year: 2016Volume: 10
Issue: Suppl 1: M8
First Page: 136
Last Page: 149
Publisher ID: TOBCTJ-10-136
DOI: 10.2174/1874836801610010136
Article History:
Received Date: 30/6/2015Revision Received Date: 15/8/2015
Acceptance Date: 26/8/2015
Electronic publication date: 29/04/2016
Collection year: 2016
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Abstract
This paper deals with the application of novel sensing technologies to an existing Structural Health Monitoring (SHM) system for bridges. A vibration based SHM algorithm already in use to detect the structural performance degradation of a suspension highway bridge is modified to investigate the feasibility of replacing traditional wired accelerometers with state of the art wireless energy-harvesting sensors. The remodeled SHM algorithm benefits from the sensor nodes’ ability to support automated triggering and data pre-processing. The Random Decrement technique was included in the algorithm as a pre-processing tool to simultaneously reduce noise and amount of stored and transmitted data. Simulations based on available data were used to calibrate the triggering strategy, to verify the effectiveness of the data pre-processing, and to demonstrate power consumption improvements arising from the algorithm modification.