High-speed trains operate in complex and variable environments,in which cyclic loading will result in cracking and other damages to the internal structure of trains.To enable real-time detection and diagnosis of structural cracks in trains under diverse temperature environments,this study investigated a quantitative diagnostic method of Lamb waves for cracks over the temperature range of-40℃to 85℃.The specimens were subjected to various temperature gradients,followed by the excitation and acquisition of Lamb wave signals under these conditions.Subsequently,a temperature-dependent quantitative monitoring experiment for Lamb wave-assisted crack detection was conducted,yielding Lamb wave signals corresponding to different temperatures and crack lengths.Normalized amplitude values were used to extract three characteristic values representing phase shifts and correlation coefficients.These characteristic values served as training samples for a Kriging surrogate model,which generates a response surface based on the feature values to construct a three-dimensional model of diagnostic parameters.This model enables quantitative diagnosis of cracks under varying temperature conditions.
Lamb wavesvarying temperature conditionscharacteristic value extractioncharacteristic value response surfaceKriging surrogate modelquantitative crack diagnosis
万方数据
维普
