大型储罐声发射技术下的安全评价方法

为探究腐蚀声发射信号相关参数的变化特征,以常见的立式金属储罐为对象开展试验,研究储罐腐蚀声发射源特性,建立基于反向传播(BP)神经网络的安全评价模型,并开展应用实例研究。结果表明:声发射活性和强度会随着腐蚀反应的剧烈程度发生变化,且在腐蚀活性不同时期腐蚀信号的波形表现出连续型、突发型和混合型3种特征,频率主要集中在20~60 kHz;BP神经网络模型输出结果与实际评价结果一致,证明该方法具有一定的有效性。

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

In order to explore variation characteristics of related parameters of corrosion acoustic emission signals,experiment was carried out with a common vertical metal storage tank as research object to study characteristics of its acoustic emission source for corrosion. Then,a safety evaluation model based on BP neural network was established,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 reaction,and wave forms of corrosion signals in different periods of corrosion activity will exhibit three types,continuous,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 results, which proves its feasibility and effectiveness.