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Concrete pillars, used as a structural support on the electrolysis process at zinc factories, are exposed to corrosive environmental conditions, due to sulfuric acid presence. In order to prevent irreversible damage to the involved structures, maintenance becomes of vital importance, while reducing costs is the main factor to be considered. Neural network as a model is a recently developed alternative...
This paper provides the method of detecting cracks in concrete pillars by using an acceleration pickup. By giving a shock on the pillar with a hammer, several types of stationary waves generated in the pillar are observed with the sensor on an edge of the pillar. The method identifies the location of the cracks by modeling the sensor output as an output of a linear dynamic system with unknown parameters...
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