Paper
12 April 2005 Converting signals to knowledge in structural health monitoring systems
James M. W. Brownjohn, Pilate Moyo, Piotr Omenzetter, Sushanta Chakraboorty
Author Affiliations +
Proceedings Volume 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics; (2005) https://doi.org/10.1117/12.621225
Event: Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, 2004, -, Singapore
Abstract
Academic approaches in structural health monitoring (SHM) usually focus on fine detail or on aspects of the technology such as sensors and data collection, and areas that may be less useful to operators than information about the level of performance of their structures. The steps in the process of SHM such as data management, data mining, conversion to knowledge of structural behaviour and integrity are frequently absent, and even the most operationally successful SHM systems may lack the component where deep understanding on the nature of the structure performance is obtained. This paper presents experience gained in a number of SHM exercises where static and dynamic response data have been interpreted, with or without the aid of calibrated structural models, in order to characterise the mechanisms at work and the experiences of the structure.
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James M. W. Brownjohn, Pilate Moyo, Piotr Omenzetter, and Sushanta Chakraboorty "Converting signals to knowledge in structural health monitoring systems", Proc. SPIE 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, (12 April 2005); https://doi.org/10.1117/12.621225
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KEYWORDS
Bridges

Structural health monitoring

Finite element methods

Data mining

Sensors

Civil engineering

Data conversion

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