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钢管混凝土脱粘的超声相控阵参数优化

Parameter Optimization of Ultrasonic Phased Array for Debonding Detection in CFST

  • 摘要: 针对钢管混凝土(Concrete-filled steel tube,CFST)结构界面脱粘与脱空检测中现有低频超声检测设备难以兼顾穿透深度与浅层分辨率、近表面检测盲区较大、极薄界面缺陷识别灵敏度不足等问题,开展了基于全聚焦成像(Total focusing method,TFM)的超声相控阵阵列参数优化研究。首先,建立含脱粘缺陷的 CFST 三维数值仿真模型,以成像对比度为评价指标,系统分析激励频率、孔径宽度及阵元数量对全聚焦成像(TFM) 成像质量的影响规律。结果表明:1.0 MHz激励频率在穿透力与成像对比度之间取得最佳平衡;20 mm孔径宽度兼顾了横向分辨率与背景纹理抑制;32阵元配置在提升成像精度的同时满足了实时检测需求。在此基础上,通过室内模型试验验证,基于优化参数搭建的超声相控阵检测系统可有效识别0.4 mm厚度的脱粘。研究成果可为CFST结构界面缺陷的工程检测提供设备参数配置参考。

     

    Abstract: This study addresses the issues of imaging accuracy and defect identification difficulties in the debonding detection in concrete-filled steel tube (CFST) structures, this study conducts parameter optimization for ultrasonic phased array (UPA) based on the total focusing method (TFM). A 3D numerical simulation model of CFST with debonding defects is established, and the contrast metric is adopted as the quantitative evaluation criterion. Through the control variable method, the effects of excitation frequency, aperture width, and element number on TFM imaging quality are analyzed. The results indicate that a central frequency of 1.0 MHz provides optimal imaging contrast while ensuring sufficient penetration depth; an aperture width of 20 mm effectively balances lateral resolution with background texture suppression; and a 32-element configuration satisfies real-time detection requirements while enhancing imaging precision. Laboratory experimental results demonstrate that the developed UPA system can effectively identify debonding defects with a thickness of 0.4 mm. This research provides a valuable reference for equipment parameter configuration in engineering inspections of CFST interface defects.

     

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