Multi-scale Structural Health Monitoring using Wireless Smart Sensors

Jo, Hongki; Spencer, Billie F., Jr.

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https://hdl.handle.net/2142/78091 Copy

Description

Title

Multi-scale Structural Health Monitoring using Wireless Smart Sensors

Author(s)

• Jo, Hongki
• Spencer, Billie F., Jr.

Issue Date

2015-05

Keyword(s)

• Smart Sensor
• Wireless Sensor
• Structural Health Monitoring
• Multi-metric sensing
• Multi-scale Monitoring

Abstract

Tremendous progress has been made in recent years in the wireless smart sensor (WSS) technology to monitor civil infrastructures, shifting focus away from traditional wired methods. Successful implementations of such WSS networks for full-scale SHM have demonstrated the feasible use of the technology. Much of the previous research and application efforts have been directed toward single-metric applications. Multi-metric monitoring, in combination with physics-based models, has great potential to enhance SHM methods; however, the efficacy of the multi-metric SHM has not been illustrated using WSS networks to date, due primarily to limited hardware capabilities of currently available smart sensors and lack of effective algorithms. This research seeks to develop multi-scale WSSN strategies for advanced SHM in cost effective manner by considering: (1) the development of hybrid SHM method, which combine numerical modeling and multi-metric physical monitoring, (2) multi-metric and high-sensitivity hardware developments for use in WSSNs, (3) network software developments for robust WSSN, (4) algorithms development to better utilize the outcomes from SHM system, and (5) fullscale experimental validation of proposed research. The completion of this research will result in an advanced multi-scale WSS framework to provide innovate ways civil infrastructure is monitored.

Publisher

Newmark Structural Engineering Laboratory. University of Illinois at Urbana-Champaign.

Series/Report Name or Number

Newmark Structural Engineering Laboratory Report Series 036

ISSN

1940-9826

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/78091

Sponsor(s)/Grant Number(s)

Financial support for this research was provided in part by the National Science Foundation under NSF Grants No. CMS-0600433 and CMMI-0928886.

Copyright and License Information

Copyright held by the authors. All rights reserved.

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