双层界面下非近轴近似多元高斯模型的相控阵声场模拟

发布时间：2018-07-04 13:44

  本文选题：高斯模型 + 辐射声场　； 参考：《声学学报》2017年04期

【摘要】：非近轴近似多元高斯模型克服了近轴近似条件的限制,能保证较大偏转角度下模拟声场的精确度和效率。根据双层介质的瑞利积分模型和单层介质的非近轴近似多元高斯模型,推导出双层介质中基于非近轴近似多元高斯模型的单阵元辐射声场计算模型。并在得到各阵元声束偏转聚焦的延迟时间基础上,累加得到基于非近轴近似高斯模型的超声相控阵横波检测辐射声场计算模型。模拟计算带丙烯酸树脂楔块的超声相控阵探头在钢中横波检测的声束偏转与偏转聚焦辐射声场,并与近轴近似多元高斯模型的横波检测声束的偏转聚焦辐射声场进行比较分析。对比分析结果表明非近轴近似多元高斯模型计算速度更快,用时约为近轴近似多元高斯模型的1/13。此外,非近轴近似高斯模型方法横波检测的聚焦声束覆盖区域更大,能量更集中,更适于远场区域检测。
[Abstract]:Non-paraxial approximation multivariate Gao Si model overcomes the limitation of paraxial approximation condition and can guarantee the accuracy and efficiency of sound field simulation at large deflection angle. Based on the Rayleigh integral model of double-layer medium and the non-paraxial approximate multivariate Gao Si model of single-layer medium, the radiation sound field calculation model of single array element in bilayer medium based on non-paraxial approximate multivariate Gao Si model is derived. On the basis of the delay time of beam deflection and focusing of each array element, the calculation model of ultrasonic phased array transverse wave detecting radiation sound field based on non-paraxial approximate Gao Si model is obtained. The acoustic field of ultrasonic phased array probe with acrylic resin wedge in steel detected by transverse wave deflection and deflection focusing is simulated and calculated. The acoustic field of ultrasonic phased array probe detected by ultrasonic phased array with acrylic resin wedge is compared with that of acoustic beam detected by paraxial approximate multivariate Gao Si model. The results of comparative analysis show that the computing speed of the non-paraxial approximate multivariate Gao Si model is faster, and the time taken is about 1 / 13 of that of the paraxial approximate multivariate Gao Si model. In addition, the non-paraxial approximate Gao Si model method is more suitable for far field detection because the focused acoustic beam has larger coverage and more concentrated energy.
【作者单位】： 哈尔滨工业大学土木工程学院;哈尔滨工业大学结构工程灾变与控制教育部重点实验室;哈尔滨工业大学土木工程智能防灾减灾工业和信息化部重点实验室;大连理工大学土木工程学院;哈尔滨工业大学深圳研究生院土木与环境工程学院;
【基金】：国家重点基础研究发展计划项目(973计划)(2011CB013705)资助
【分类号】：O422.2
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本文编号：2096263