research-article

Cyber-physical codesign of distributed structural health monitoring with wireless sensor networks

Authors:

Gregory Hackmann,

Shirley DykeAuthors Info & Claims

ICCPS '10: Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems

Pages 119 - 128

https://doi.org/10.1145/1795194.1795211

Published: 13 April 2010 Publication History

Abstract

Our deteriorating civil infrastructure faces the critical challenge of long-term structural health monitoring for damage detection and localization. In contrast to existing research that often separates the designs of wireless sensor networks and structural engineering algorithms, this paper proposes a cyber-physical co-design approach to structural health monitoring based on wireless sensor networks. Our approach closely integrates (1) flexibility-based damage localization methods that allow a tradeoff between the number of sensors and the resolution of damage localization, and (2) an energy-efficient, multi-level computing architecture specifically designed to leverage the multi-resolution feature of the flexibility-based approach. The proposed approach has been implemented on the Intel Imote2 platform. Experiments on a physical beam and simulations of a truss structure demonstrate the system's efficacy in damage localization and energy efficiency.

References

[1]

http://www.tinyos.net/.

[2]

http://shm.cs.uiuc.edu/.

[3]

American Society of Civil Engineering. 2009 report card for America's infrastructure. http://www.asce.org/reportcard/2009/.

[4]

D. Bernal and B. Gunes. Flexibility based approach for damage characterization: Benchmark application. Journal of Engineering Mechanics, 130(1):61--70, January 2004.

[5]

N. Castaneda, F. Sun, S. Dyke, C. Lu, A. Hope, and T. Nagayama. Implementation of a correlation-based decentralized damage detection method using wireless sensors. In ASEM Conference, 2008.

[6]

M. Ceriotti, L. Mottola, G. P. Picco, A. L. Murphy, S. Guna, M. Corra, M. Pozzi, D. Zonta, and P. Zanon. Monitoring heritage buildings with wireless sensor networks: The torre aquila deployment. In IPSN, 2009.

Digital Library

[7]

K. Chebrolu, B. Raman, N. Mishra, P. K. Valiveti, and R. Kumar. BriMon: a sensor network system for railway bridge monitoring. In MobiSys, 2008.

Digital Library

[8]

E. Clayton. Development of an experimental model for the study of infrastructure preservation. In National Conference on Undergraduate Research, 2002.

[9]

Crossbow Technology. MICA2 wireless measurement system. http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MICA2_Datasheet.pdf.

[10]

Crossbow Technology. MICAz wireless measurement system. http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MICAz_Datasheet.pdf.

[11]

Crossbow Technology. TelosB mote platform. http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/TelosB_Datasheet.pdf.

[12]

Crossbow Technology, Inc. Imote2 Hardware Reference Manual, 2007.

[13]

Z. Duan, G. Yan, and J. Ou. Structural damage detection using the angle-between-string-and-horizon flexibility (under review). Structural Engineering and Mechanics.

[14]

M. Gangone, M. Whelan, K. Janoyan, K. Cross, and R. Jha. Performance monitoring of a bridge superstructure using a dense wireless sensor network. In International Workshop on Structural Health Monitoring, Stanford, California, 2007.

[15]

G. Hackmann, F. Sun, N. Castaneda, C. Lu, and S. Dyke. A holistic approach to decentralized structural damage localization using wireless sensor networks. In RTSS, 2008.

Digital Library

[16]

S. Kim, S. Pakzad, D. Culler, J. Demmel, G. Fenves, S. Glaser, and M. Turon. Health monitoring of civil infrastructures using wireless sensor networks. In IPSN, 2007.

Digital Library

[17]

J. Lynch and K. Loh. A summary review of wireless sensors and sensor networks for structural health monitoring. Shock and Vibration Digest, 38(2):91--128, 2006.

[18]

M. Maróti, B. Kusy, G. Simon, and A. Lédeczi. The flooding time synchronization protocol. In SenSys '04: Proceedings of the 2nd international conference on Embedded networked sensor systems, pages 39--49, New York, NY, USA, 2004. ACM.

Digital Library

[19]

A. Messina, I. A. Jones, and E. J. Williams. Damage detection and localization using natural frequency changes. In Conference on Identification in Engineering Systems, U.K., 1996.

[20]

T. Nagayama. Structural Health Monitoring Using Smart Sensors. PhD thesis, University of Illinois at Urbana-Champaign, 2007.

[21]

S. N. Pakzad, G. L. Fenves, S. Kim, and D. E. Culler. Design and implementation of scalable wireless sensor network for structural monitoring. ASCE Journal of Infrastructure Engineering, 14(1):89--101, March 2008.

[22]

A. Pandey and M. Biswas. Experimental verification of flexibility difference method for locating damage in structures. Journal of Sound and Vibration, (184), 1995.

[23]

W. Song, S. J. Dyke, G. J. Yun, and T. Harmon. Improved damage localization and quantification using subset selection (under review). Journal of Engineering Mechanics.

[24]

B. Spencer and T. Nagayama. Smart sensor technology: a new paradigm for structural health monitoring. In Asia-Pacific Workshop on Structural health Monitoring, Yokohama, Japan, 2006.

[25]

J.-H. Weng, C.-H. Loh, J. P. Lynch, K.-C. Lu, P.-Y. Lin, and Y. Wang. Output-only modal identification of a cable-stayed bridge using wireless monitoring systems. Engineering Structures, 30(7):1820--1830, 2008.

[26]

N. Xu, S. Rangwala, K. Chintalapudi, D. Ganesan, A. Broad, R. Govindan, and D. Estrin. A wireless sensor network for structural monitoring. In SenSys, 2004.

Digital Library

[27]

G. Yan, Z. Duan, and J. Ou. An axial strain flexibility for damage detection of truss structure. International Journal of Smart Structures and Systems.

[28]

G. J. Yun, K. A. Ogorzalek, S. J. Dyke, and W. Song. A two-stage damage detection approach based on subset selection and genetic algorithms (under review). Smart Structures and Systems.

[29]

A. T. Zimmerman, M. Shiraishi, R. A. Swartz, and J. P. Lynch. Automated modal parameter estimation by parallel processing within wireless monitoring systems. Journal of Infrastructure Systems, 14(1):102--113, March 2008.

Cited By

Dhasarathan CShanmugam MKumar MTripathi DKhapre SShankar A(2024)A nomadic multi-agent based privacy metrics for e-health care: a deep learning approachMultimedia Tools and Applications10.1007/s11042-023-15363-483:3(7249-7272)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15363-4
Li CDeng YYa YTam VLu C(2023)Applications of Information Technology in Building Carbon FlowSustainability10.3390/su15231652215:23(16522)Online publication date: 3-Dec-2023
https://doi.org/10.3390/su152316522
Silvola SRestelli UBonfanti MCroce D(2023)Co-Design as Enabling Factor for Patient-Centred Healthcare: A Bibliometric Literature ReviewClinicoEconomics and Outcomes Research10.2147/CEOR.S403243Volume 15(333-347)Online publication date: May-2023
https://doi.org/10.2147/CEOR.S403243
Show More Cited By

Index Terms

Cyber-physical codesign of distributed structural health monitoring with wireless sensor networks

Recommendations

Wireless sensor networks for structural health monitoring
SenSys '06: Proceedings of the 4th international conference on Embedded networked sensor systems
Cyber-Physical Codesign of Distributed Structural Health Monitoring with Wireless Sensor Networks

Our deteriorating civil infrastructure faces the critical challenge of long-term structural health monitoring for damage detection and localization. In contrast to existing research that often separates the designs of wireless sensor networks and ...
Cluster-Based Energy-Efficient Structural Health Monitoring Using Wireless Sensor Networks
CSSS '12: Proceedings of the 2012 International Conference on Computer Science and Service System

Recent years have witness booming interests of using wireless sensor networks (WSNs) for structural health monitoring (SHM). In a WSN, it has been widely regarded that wireless data transmission is one of the most energy consuming operations. To address ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

ICCPS '10: Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems

April 2010

208 pages

ISBN:9781450300667

DOI:10.1145/1795194

Conference Chairs:
Janos Sztipanovits,
Raj Rajkumar

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

IEEE-CS\TCRT: TC on Real-Time Systems
SIGBED: ACM Special Interest Group on Embedded Systems

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Funding Sources

Division of Computer and Network Systems

Conference

ICCPS '10

Sponsor:

IEEE-CS\TCRT
SIGBED

ICCPS '10: ACM/IEEE 1st International Conference on Cyber-Physical Systems

April 13 - 15, 2010

Stockholm, Sweden

Acceptance Rates

Overall Acceptance Rate 25 of 91 submissions, 27%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

23
Total Citations
View Citations
504
Total Downloads

Downloads (Last 12 months)30
Downloads (Last 6 weeks)2

Reflects downloads up to 22 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Dhasarathan CShanmugam MKumar MTripathi DKhapre SShankar A(2024)A nomadic multi-agent based privacy metrics for e-health care: a deep learning approachMultimedia Tools and Applications10.1007/s11042-023-15363-483:3(7249-7272)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15363-4
Li CDeng YYa YTam VLu C(2023)Applications of Information Technology in Building Carbon FlowSustainability10.3390/su15231652215:23(16522)Online publication date: 3-Dec-2023
https://doi.org/10.3390/su152316522
Silvola SRestelli UBonfanti MCroce D(2023)Co-Design as Enabling Factor for Patient-Centred Healthcare: A Bibliometric Literature ReviewClinicoEconomics and Outcomes Research10.2147/CEOR.S403243Volume 15(333-347)Online publication date: May-2023
https://doi.org/10.2147/CEOR.S403243
De Arriba López VMaboudi MAchanccaray PGerke M(2023)Automatic non-destructive UAV-based structural health monitoring of steel container cranesApplied Geomatics10.1007/s12518-023-00542-716:1(125-145)Online publication date: 20-Dec-2023
https://doi.org/10.1007/s12518-023-00542-7
Hu HYu JLi ZChen JHu H(2021)Modeling and Analysis of Cyber–Physical System Based on Object-Oriente Generalized Stochastic Petri NetIEEE Transactions on Reliability10.1109/TR.2020.299809170:3(1271-1285)Online publication date: Sep-2021
https://doi.org/10.1109/TR.2020.2998091
Bhushan BSahoo G(2020)Requirements, Protocols, and Security Challenges in Wireless Sensor Networks: An Industrial PerspectiveHandbook of Computer Networks and Cyber Security10.1007/978-3-030-22277-2_27(683-713)Online publication date: 1-Jan-2020
https://doi.org/10.1007/978-3-030-22277-2_27
Kazakov IShcherbakova NBrebels AShcherbakov M(2019)Accelerometer Data Based Cyber-Physical System for Training Intensity EstimationCyber-Physical Systems: Advances in Design & Modelling10.1007/978-3-030-32579-4_26(325-335)Online publication date: 26-Nov-2019
https://doi.org/10.1007/978-3-030-32579-4_26
Shen CChen S(2017)A Cyber-Physical Design for Indoor Temperature Monitoring Using Wireless Sensor Networks2017 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2017.7925596(1-6)Online publication date: Mar-2017
https://doi.org/10.1109/WCNC.2017.7925596
Jayawardhana MZhu XLiyanapathirana R(2016)An Experimental Study on Damage Detection of Concrete Structures Using Decentralized AlgorithmsAdvances in Structural Engineering10.1260/1369-4332.16.1.3316:1(33-50)Online publication date: 7-Nov-2016
https://doi.org/10.1260/1369-4332.16.1.33
Khaitan SMcCalley J(2015)Design Techniques and Applications of Cyberphysical Systems: A SurveyIEEE Systems Journal10.1109/JSYST.2014.23225039:2(350-365)Online publication date: Jun-2015
https://doi.org/10.1109/JSYST.2014.2322503
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents