Operational Modal Monitoring of Ancient Structures using Wireless Technology
Operational Modal Analysis is currently applied in structural dynamic monitoring studies using conventional wired based sensors and data acquisition platforms. This approach, however, becomes inadequate in cases where the tests are performed in ancient structures with esthetic concerns or in others, where the use of wires greatly impacts the monitoring system cost and creates difficulties in the maintenance and deployment of data acquisition platforms. In these cases, the use of sensor platforms based on wireless and MEMS would clearly benefit these applications. This work presents a first attempt to apply this wireless technology to the structural monitoring of historical masonry constructions in the context of operational modal analysis. Commercial WSN platforms were used to study one laboratory specimen and one of the structural elements of a XV century building in Portugal. Results showed that in comparison to the conventional wired sensors, wireless platforms have poor performance in respect to the acceleration time series recorded and the detection of modal shapes. However, for frequency detection issues, reliable results were obtained, especially when random excitation was used as noise source.
KeywordsExtractor Rene Crossbow
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- Ruiz-Sandoval, M.E. “Smart” sensors for civil infrastructure systems. PhD Thesis, University of Notre Dame(2004).Google Scholar
- NI. Overview of Structural Health Monitoring Solutions. www.ni.com (2009).
- PCB. Product Catalog, (2007).Google Scholar
- http://www.wilcoxon.com/. Wilcoxon Research, Inc. (2009).
- NI. User guide and specifications. www.ni.com (2009).
- Straser, E.G. and Kiremijdian, A.S. A modular visual approach to damage monitoring for civil structures.Proceedings of SPIE v2719, Smart Structures and Materials (1996).Google Scholar
- Kiremijdian, A.S.; Straser, E.G.; Meng, T.H.; Law, K. and Soon, H. Structural damage monitoring for civilstructures. International Workshop - Structural Health Monitoring (1997).Google Scholar
- Straser, E.G. and Kiremijdian, A.S. A modular, wireless damage monitoring system for structures. The John A.Blume Earthquake Engineering Center (1998).Google Scholar
- Straser, E.G.; Kiremijdian, A.S.; Meng, T.H. and Redlefsen, L. A modular wireless network platform formonitoring structures. Proceedings – SPIE The International Society for Optical Engineering (1998).Google Scholar
- Crossbow. MoteWorks Getting Started Guide, Crossbow (2008).Google Scholar
- Lynch, J.P. and Loh, K.J. A Summary Review of Wireless Sensors and Sensor Networks for Structural HealthMonitoring. The shock and vibration digest (2006).Google Scholar
- Stiharu, I. MEMS, general properties, Encyclopedia of vibration. Academic Press (2002).Google Scholar
- Doebling, S.W.; Farrar, C.R. and Cornwell, P. A Statistical Comparison of Impact and Ambient TestingResults from the Alamosa Canyon Bridge, International Modal Analysis Conference (1997).Google Scholar
- Van Overschee, P. and De Moor, B. Subspace algorithms for the stochastic identification problem.Proceedings of the 30th Conference on Decision and Control, Brighton, England, (1991).Google Scholar
- Peeters, B. and De Roeck, G. Reference-based stochastic subspace identification for output-only modalanalysis. Mechanical Systems and Signal Processing. Academic Press, 855–878 pp, (1999).Google Scholar
- SVS. ARTEMIS extractor pro user manual, Release 4.5. Structural Vibration Solutions (2009).Google Scholar
- Azevedo. A. Paço dos Duques, Livraria Lemos (1964).Google Scholar
- Silva, J. H.P. Paço dos Duques em Guimaraes, Secretaria de Estado de Informacao e Turismo (1974).Google Scholar
- http://www.bing.com/maps/ (2009).
- http://www.open-zb.net. Open-ZB open-source toolset for the IEEE 802.15.4/ZigBee protocols website(2009).