Structural health monitoring of bridges via energy harvesting sensor nodes

被引：0

作者：

Bonessio N. ^{[1
]}

Zappi P. ^{[2
]}

Benzoni G. ^{[1
]}

Rosing T.S. ^{[2
]}

Lomiento G. ^{[3
]}

机构：

[1] Department of Structural Engineering, University of California, San Diego, La Jolla, CA

[2] Computer Science Department, University of California, San Diego, La Jolla, CA

[3] Department of Civil Engineering, California State Polytechnic University, Pomona

来源：

Open Construction and Building Technology Journal | 2016年 / 10卷

关键词：

Distributed sensor network; Energy efficiency; Intelligent infrastructure; Structural health monitoring; Wireless sensor networks;

D O I：

10.2174/1874836801610010136

中图分类号：

学科分类号：

摘要：

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. © Bonessio et al.

引用

页码：136 / 149

页数：13

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