Safety evaluation method based on acoustic emission technology for large-scale storage tanks

Abstract

In order to explore variation characteristics of related parameters of corrosion acoustic emission signalsꎬ experiment was carried out with a common vertical metal storage tank as research object to study characteristics of its acoustic emission source for corrosion. Thenꎬ a safety evaluation model based on BP neural network was establishedꎬ and case study of its application was carried out. The results show that acoustic emission activity and intensity will change along with severity of corrosion reactionꎬ and wave forms of corrosion signals in different periods of corrosion activity will exhibit three typesꎬ continuousꎬ abrupt and hybrid types with its frequencies mainly concentrating between 20-60 kHz. The output of BP neural network model is consistent with actual evaluation resultsꎬ which proves its feasibility and effectiveness.