Files in this item



application/pdfNSEL.Report.018.pdf (4MB)
NSEL Report 018 - Updated 06-01-2010PDF


Title:Flexible Smart Sensor Framework for Autonomous Full-scale Structural Health Monitoring
Author(s):Rice, Jennifer A.; Spencer, Billie F., Jr.
Subject(s):smart sensors
wireless sensor network
structural health monitoring
MEMS sensors
decentralized computing
bridge monitoring
autonomous monitoring
Abstract:The demands of aging infrastructure require effective methods for structural monitoring and maintenance. Wireless smart sensors provide an attractive means for structural health monitoring (SHM) through the utilization of onboard computation to achieve distributed data management. Such an approach is scalable to the large number of sensor nodes required for high-fidelity modal analysis and damage detection. While much of the technology associated with smart sensors has been available for nearly a decade, there have been limited numbers of full-scale implementations due to the lack of critical hardware and software elements. This research develops a flexible smart sensor framework for full-scale, autonomous SHM that integrates the necessary software and hardware while addressing key implementation requirements. The Imote2 smart sensor platform is employed herein, providing for the first time the enhanced computation and communication resources that support demanding sensor network applications such as SHM of civil infrastructure. A multimetric Imote2 sensor board with onboard signal processing specifically designed for SHM applications has been designed and validated. Flexible network management software combines a sleep/wake cycle for enhanced power efficiency with threshold detection for triggering network wide operations such as synchronized sensing or decentralized modal analysis. A cable-stayed bridge in South Korea serves as one of the test beds for this effort, both informing and driving system development. This research has resulted in the first autonomous, full-scale implementation of a wireless smart sensor network for structural health monitoring.
Issue Date:2009-08
Date Updated:2010-06-01
Publisher:Newmark Structural Engineering Laboratory. University of Illinois at Urbana-Champaign.
Series/Report:Newmark Structural Engineering Laboratory Report Series 018
Genre:Technical Report
Publication Status:published or submitted for publication
Peer Reviewed:not peer reviewed
Rights Information:Copyright held by the authors. All rights reserved.
Date Available in IDEALS:2009-08-29

This item appears in the following Collection(s)

Item Statistics