Civil Engineering Reference
In-Depth Information
7.6 Summury and Future Work
The British Columbia Ministry of Transportation and the University of British Columbia have embarked on a program called
the British Columbia Smart Infrastructure Monitoring System (BCSIMS). The system aims to integrate data from the
instrumented structures and the strong motion network, organize and process the information in an efficient manner, and to
deliver that information to the appropriate parties.
The Goals of the System are to: (1) Provide a real-time seismic structural response system to enable rapid deployment and
prioritized inspections of the Ministry's structures; and (2) Develop and implement a health monitoring program to address
the need for safe and cost-effective operation of structures in BC. Currently the system incorporates more than 100 strong
motion network stations, five structural stations, and as many as ten more structural stations by the end of 2014.
The system is based on local database and analysis modules, located at every structural monitoring site. A global
database, web server and advanced analysis PC are located at the University of British Columbia and act as the heart of the
system. Access for most users is via the website www.BCSIMS.ca which allows for viewing of the strong motion network,
structural stations, data, results and event reports. BCSIMS features some other capabilities that are discussed in more
detail in [ 18 ].
The next phase of development of the BCSIMS system will be through the European Union funded ISMS Project. This
will feature development and implementation of new damage detection algorithms. It will also feature several upgrades to
the existing BCSIMS framework such as more sophisticated graphical interfaces, expansion and revision of the current
database functionality and more efficient analysis methods. Currently the system is being tested, and work with BC
emergency management teams is underway to begin using the system.
Acknowledgements The Authors would like to Acknowledge Dr. Palle Anderson and Dr. Henrik Vollesen of Structural Vibration Solutions,
Aalborg Denmark. They have been the primary developers of much of the software components and have worked tirelessly to push the project
forward. Also they would like to acknowledge Dr. Andreas Rosenberger from the Pacific Geosciences Centre for his considerable contributions to
the project. The primary funding for this project has been provided by the British Columbia Ministry of Transportation and Infrastructure.
References
1. Wald DJ, Quitoriano V, Heaton TH, Kanamori H (1999) Relationship between peak ground acceleration, peak ground velocity, and modified
mercalli intensity in California. Earthq Spectra 15(3):557-564
2. Katayama T, Sato N, Saito K (1998) SI-sensor for the Identification of destuctive ground motion. In: Proceedings of ninth world conference of
earthquake engineering, vol VII, Tokyo-Kyoto, pp 667 - 672
3. Karim KR, Yamazaki F (2002) Correlation of JMA instrumental seismic intensity with strong motion parameters. Earthq Eng Struct Dyn
31:1191-1212
4. COSMOS Strong Motion Programs Boards (2001) Consortium of Organizations for Strong-Motion Observations Systems (COSMOS) Strong
Motion Data Format, Version 1.20, 15 Aug 2001
5. Structural Vibration Solution A/S (Copyright 1998-2012) ARTeMIS Extractor Pro, Release 5.3
6. Balmes E, Basseville M, Mevel L, Nasser H, Zhou W (2008) Statistical model-based damage localization: a combined subspace-based and
substructuring approach. Struct Control Health Monit 15:857-875
7. Farrar C, Jauregui D (1998) Comparitive study of damage identification algorithms applied to a bridge: 1. Experiment. Smart Mater Struct
7:704-719
8. Stubbs N, Kim JT (1994) Field verification of a nondestructive damage localization and severity estimation algorithm, Texas A&M University
report prepared for New Mexico State University
9. Pandey AK, Biswas M, Samman MM (1991) Damage detection from changes in curvature mode shapes. J Sound Vib 145:321-332
10. Pandey AK, Biswas M (1994) Damage detection in structures using changes in flexibility. J Sound Vib 169:3-17
11. Zhang Z, Aktan AE (1995) The damage indices for the constructed facilities. In: Proceedings of 13th international modal analysis conference,
Nashville, TN USA, vol 2, pp 1520-1529
12. Zimmerman DC, Kaouk M (1994) Structural damage detection using a minimum rank updates theory. J Vib Acoust 116:222-231
13. Turek M, Ventura CE (2007) Calibrated vibration simulations for design of SHM systems. In: Proceedings of IMAC XXV, paper 249, Orlando
14. Bernal D (2006) Flexibility-based damage localization from stochastic realization results. ASCE J Eng Mech 132(6):651-658
15. Zonta D, Bernal D (2006) Strain-based approaches to damage localization in civil structures. In: Proceedings of IMAC XXIV, paper 197,
St. Louis
16. Bernal D (2002) Load vectors for damage localization. J Eng Mech ASCE 128(1):7-14
17. Duan Z, Yan G, Ou J, Spencer BF (2005) Damage localization in ambient vibration by constructing proportional flexibility matrix. J Sound Vib
284:455-466, Dynamic Design Solutions N.V. (Copyright 1994-2012). FEMTools Version 3.5.3
18. Ventura C, Kaya Y (2012) Seismic structural health monitoring of bridges in British Columbia, Canada. In: Proceedings of the 15 world
conference of erathquake engineering, Lisbon
Search WWH ::




Custom Search