Proceedings ArticleDOI
Health monitoring of civil infrastructures using wireless sensor networks
Sukun Kim,Shamim N. Pakzad,David E. Culler,James Demmel,Gregory L. Fenves,Steven D. Glaser,Turon Martin A +6 more
- Vol. 6, pp 254-263
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TLDR
A Wireless Sensor Network for Structural Health Monitoring is designed, implemented, deployed and tested on the 4200 ft long main span and the south tower of the Golden Gate Bridge and the collected data agrees with theoretical models and previous studies of the bridge.Abstract:
A Wireless Sensor Network (WSN) for Structural Health Monitoring (SHM) is designed, implemented, deployed and tested on the 4200 ft 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 1 kHz rate, with less than 10 mus jitter, and with an accuracy of 30 muG. The sampled data is collected reliably over a 46-hop network, with a bandwidth of 441 B/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.read more
Citations
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Journal ArticleDOI
Use of mems accelerometers/inclinometers as a geotechnical monitoring method for ground subsidence
TL;DR: In this paper, a one-day measurement implemented by a self-developed wireless MEMS monitoring system on the surface in the construction site of South Hongmei Road super high way tunnel in Shanghai, by making use of rotation matrices in specific ways, the raw data are processed to expressions of three-dimensional normal vectors that represent the change of the ground.
Journal ArticleDOI
The Node Arrangement Methodology of Wireless Sensor Networks for Long-Span Bridge Health Monitoring
TL;DR: A methodology and strategy of node arrangement are developed to improve the performance of WSN for long-span bridge health monitoring, including balancing energy consumption, increasing data capacity, and reducing deployment cost.
Structural damage detection and classification based on machine learning algorithms
Jaime Vitola Oyaga,Diego Alexander Tibaduiza Burgos,Maribel Anaya Vejar,Francesc Pozo Montero +3 more
TL;DR: This work presents a data-driven methodology for the detection and classification of damages by using multivariate data driven approaches and machine learning algorithms which are validated and compared by using data from real structures in order to determine its behavior.
Book ChapterDOI
Structural Health Monitoring Using Wireless Sensor Networks
Jiannong Cao,Xuefeng Liu +1 more
Journal ArticleDOI
Combining Mobile XMPP Entities and Cloud Services for Collaborative Post-Disaster Management in Hybrid Network Environments
Ronny Klauck,Michael Kirsche +1 more
TL;DR: A system design that combines portable hand-held devices as well as autonomous sensors through XMPP with the flexibility of cloud services to support post-disaster management and enables a global view on sensed data through the use of cloud-based storage and analysis services is introduced.
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