Abstract
The acoustic emission (AE) technique is used to detect and study the AE signals emitted from pitting corrosion on 316L stainless steel plate samples subjected to different levels of surface stress. The tests are performed in a four point bend using accelerated localised salt water corrosion driven by a potentiostat. The AE event rate and the corrosion rate are both found to be affected by the different surface stresses on the plate. After an initial stress dependent phase that lasts around two hours, the AE event rate reduces to a fairly steady rate that is independent of the applied stress. The statistics of the AE data collected from pitting in these specimens is used as the input into a model of an AE corrosion detection system in a larger scale structure. Such a model can be used to estimate the performance of the system as a function of parameters such as threshold level and sensor separation.
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