华东交通大学学报2026，Vol.43Issue(1)：47-56,10.
基于超声波声场效应的钢轨轨头缺陷检测研究
Research on Railhead Defect Detection Based on Ultrasonic Acoustic Field Effects
摘要
Abstract
To address the difficulty in identifying echoes from near-surface railhead defects caused by near-field interference,this paper establishes an ultrasonic sound-field model in rails based on the Huygens integral,and combines numerical simulations and experiments to investigate the effects of probe frequency and piezoelectric element size on the sound-field distribution and defect-echo features.The results show that,as the element size increases from 10×10 mm to 20×20 mm,the near-field length increases from 11.9 mm to 51.4 mm;as the fre-quency increases from 1 MHz to 4 MHz,the near-field length increases approximately linearly,while the peak sound pressure decreases overall with increasing frequency and element size.In the near field,defect echoes overlap significantly with the initial pulse,making near-surface railhead defects difficult to distinguish;in the far field,the echo separation improves and the detection accuracy increases markedly.关键词
超声波/钢轨/超声频率/晶片尺寸/声场效应Key words
ultrasonic/rail/ultrasonic frequency/element size/acoustic field effect分类
交通工程引用本文复制引用
薛志强,许玉德,王章..基于超声波声场效应的钢轨轨头缺陷检测研究[J].华东交通大学学报,2026,43(1):47-56,10.基金项目
国能朔黄铁路发展有限责任公司科技项目(SHTL-21-01) （SHTL-21-01）
国家重点研发计划(2022YFB2602900) （2022YFB2602900）
