Structural Health Monitoring: A Quest towards the Use of Combined Approaches

Oral Buyukozturk 1 James Long 1 Reza Mohammadi Ghazi 1 Young-Jin Cha 1 Justin Chen 1 Dirk Smit 2
1 MIT - Massachusetts Institute of Technology
2 Shell (Netherlands)
Abstract : Over the past number of decades the structural health monitoring (SHM) research community has developed and published a large variety and number of methodologies for the purpose of detecting and locating damage in a structure using sensor measurement data. While almost all of these methods have demonstrated some degree of success in detecting damage, different approaches have differing costs, and corresponding tradeoffs in performance. Typical costs include computational effort, the development of an accurate structural model, or the collection of a large volume of data. Whether or not these costs are worth the investment depends on the specific SHM scenario. In this paper we analyze four different SHM methodologies, including model-based and data-based approaches, outlining their individual strengths and weaknesses, tradeoffs between cost and performance,and suggesting appropriate application areas for each. The efficacy of the methods is evaluated using data collected from a steel-frame laboratory structure.
Keywords : Damage detection and localization Data fusion Feature extraction
Type de document :
Communication dans un congrès
Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014
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Oral Buyukozturk, James Long, Reza Mohammadi Ghazi, Young-Jin Cha, Justin Chen, et al.. Structural Health Monitoring: A Quest towards the Use of Combined Approaches. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014. 〈hal-01021234〉

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