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Newmark Structural Engineering Laboratory >
Newmark Structural Laboratory Report Series (NSEL Report Series ISSN 1940-9826) >
Please use this identifier to cite this item:
http://hdl.handle.net/2142/8802
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| Title: |
Structural Health Monitoring Strategies for Smart Sensor Networks |
| Authors: |
Gao, Yong
Spencer, Jr., Billie F. |
| Keywords: |
Structural Health Monitoring
Damage Detection
Distributed Computing
Flexibility Matrix
Smart Sensors |
| Issue Date: |
2008-May |
| Publisher: |
Newmark Structural Engineering Laboratory. University of Illinois at Urbana-Champaign. |
| Series Name / Report no.: |
Newmark Structural Engineering Laboratory Report Series 011 |
| Abstract / Summary: |
Structural health monitoring (SHM) is an emerging field in civil engineering,
offering the potential for continuous and periodic assessment of the safety and integrity of
civil infrastructure. Based on knowledge of the condition of the structure, certain
preventative measures can be carried out to prolong the service life of the structure and
prevent catastrophic failure. However, challenges remain to apply SHM to civil
engineering structures.
The research detailed in this report has three complimentary efforts that seek to
address some of those challenges. The first component is to experimentally verify an
existing damage detection method utilizing a three-dimensional 14-bay truss structure at
the Smart Structures Technology Laboratory (SSTL) of University of Illinois at Urbana-
Champaign (UIUC). This flexibility-matrix-based method has drawn considerable
attention recently; however, only numerical validation had been previously provided.
Experimental verification allows assessment of the efficacy of the method in practice.
The second part of the work is directed toward extending the flexibility-matrixbased
approach to continuous online SHM employing ambient vibration (i.e., unmeasured
input excitations). Continuous online SHM of civil infrastructure is highly desired,
because it allows early detection of the damage in a structure and therefore offers the
possibility to extend the service life of the structure.
Finally, a new distributed computing SHM strategy, which is suitable for
implementation on arrays of densely distributed smart sensors, is proposed for monitoring
of civil infrastructure. Recent development of smart sensor technology has the potential to
fundamentally change how civil infrastructure will be monitored. Damage detection
algorithms which can take advantage of smart sensor technology are highly desired, but
currently very limited. The new approach proposed in this research is different from the
traditional ones which have relied on central data acquisition and processing, and
therefore meshes well with the distributed computing environment offered by smart sensor
technology. A strong basis for application of SHM to civil engineering structures using
smart sensors has been provided. |
| URI: |
http://hdl.handle.net/2142/8802 |
| ISSN: |
1940-9826 |
| Type of Resource: |
text |
| Genre of Resource: |
technical report |
| Publication Status: |
published or submitted for publication |
| Appears in Collections: |
Newmark Structural Laboratory Report Series (NSEL Report Series ISSN 1940-9826)
|
| File (click to download) |
Description |
Format |
Downloads |
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Total |
| Original File(s) |
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NSEL.Report.011.pdf (3Mb)
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NSEL Report 011 |
PDF |
4 |
66 |
Total Item Downloads:
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4 |
66 |
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