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Health monitoring of civil infrastructures using wireless sensor networks
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Information Processing In Sensor Networks archive
Proceedings of the 6th international conference on Information processing in sensor networks table of contents
Cambridge, Massachusetts, USA
POSTER SESSION: IPSN/SPOTS posters table of contents
Pages: 254 - 263  
Year of Publication: 2007
ISBN:978-1-59593-638-X
Authors
Sukun Kim  University of California at Berkeley, Berkeley, CA
Shamim Pakzad  University of California at Berkeley, Berkeley, CA
David Culler  University of California at Berkeley, Berkeley, CA
James Demmel  University of California at Berkeley, Berkeley, CA
Gregory Fenves  University of California at Berkeley, Berkeley, CA
Steven Glaser  University of California at Berkeley, Berkeley, CA
Martin Turon  Crossbow Technology, Inc., San Jose, CA
Sponsors
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 14
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ABSTRACT

A Wireless Sensor Network (WSN) for Structural Health Monitoring (SHM) is designed, implemented, deployed and tested on the 4200ft long main span and the south tower of the Golden Gate Bridge (GGB). Ambient structural vibrations are reliably measured at a low cost and without interfering with the operation of the bridge. Requirements that SHM imposes on WSN are identified and new solutions to meet these requirements are proposed and implemented. In the GGB deployment, 64 nodes are distributed over the main span and the tower, collecting ambient vibrations synchronously at 1kHz rate, with less than 10μs jitter, and with an accuracy of 30μG. The sampled data is collected reliably over a 46-hop network, with a bandwidth of 441B/s at the 46th hop. The collected data agrees with theoretical models and previous studies of the bridge. The deployment is the largest WSN for SHM.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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A. M. Abdel-Ghaffar. Ambient vibration studies of golden gate bridge. Journal of Engineering Mechanics, 111(4):483--499, April 1985.
 
8
J. M. Caicedo, J. Marulanda, P. Thomson, and S. J. Dyke. Monitoring of bridges to detect changes in structural health. the Proceedings of the 2001 American Control Conference, Arlington, Virginia, June 2527, 2001.
 
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P. Cheng, W. J. Shi, and W. Zheng. Large structure health dynamic monitoring using gps technology.
 
10
J. M. Engel, L. Zhao, Z. Fan, J. Chen, and C. Liu. Smart brick - a low cost, modular wireless sensor for civil structure monitoring. International Conference on Computing, Communications and Control Technologies (CCCT 2004), Austin, TX USA, August 14-17, 2004.
 
11
S. D. Glaser, M. Chen, and T. E. Oberheim. Terra-scope - a mems-based vertical seismic array. Smart Structure & Systems, 2(2):115--126, 2006.
12
13
 
14
B. S. Jr., M. Ruiz-Sandoval, and N. Kurata. Smart sensing technology: Opportunities and challenges. Journal of Structural Control and Health Monitoring, in press, 2004.
 
15
S. Kim. Wireless sensor networks for structural health monitoring. Master's thesis, University of California at Berkeley, May 2005.
16
 
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L. Ljung. Prentice Hall PTR, Upper Saddle River, N.J., 2nd edition, 1999.
 
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J. P. Lynch. Overview of wireless sensors for real-time health monitoring of civil structures. Proceedings of the 4th International Workshop on Structural Control (4th IWSC), New York City, NY, June 10-11, 2004.
19
 
20
C. Ogaja, C. Rizos, J. Wang, and J. Brownjohn. Toward the implementation of on-line structural monitoring using rtk-gps and analysis of results using the wavelet transform.
 
21
S. N. Pakzad, S. Kim, G. L. Fenves, S. D. Glaser, D. E. Culler, and J. W. Demmel. Multi-purpose wireless accelerometers for civil infrastructure monitoring. In Proceedings of the 5th International Workshop on Structural Health Monitoring (IWSHM 2005), September 2005.
22
 
23
G. Tolle and D. Culler. Design of an application-cooperative management system for wireless sensor networks. In the Proceedings of the 2nd European Workshop on Wireless Sensor Networks (EWSN 2005), Istanbul, Turkey, January 2005.
24
 
25
G. Werner-Allen, J. Johnson, M. Ruiz, J. Lees, and M. Welsh. Monitoring volcanic eruptions with a wireless sensor network. In the Proceedings of the 2nd European Workshop on Wireless Sensor Networks (EWSN 2005), Istanbul, Turkey, January 2005.
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CITED BY  14

Collaborative Colleagues:
Sukun Kim: colleagues
Shamim Pakzad: colleagues
David Culler: colleagues
James Demmel: colleagues
Gregory Fenves: colleagues
Steven Glaser: colleagues
Martin Turon: colleagues