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水中非球形气泡声散射特性研究

Study on the Acoustic Scattering Characteristics of Non-Spherical Bubbles in Water

  • 摘要: 为探索水下气体泄漏主动声检测挑战,本文以自由上升的非球形单气泡为研究对象,通过搭建声光联合观测实验平台,在水声实验水槽中同步采集气泡上升过程的动态行为与声散射目标强度(TS)信息,系统分析 70~120 kHz 频段单个气泡声散射特性,采用卡方(χ2)、莱斯(Rice)、正态(Normal)三种分布模型对 TS 实验统计模型随机起伏规律拟合,结合 K-S 检验评估统计模型的有效性,同时,基于双目视觉算法完成气泡三维形态重构,开展仿真计算,验证仿真结果与实验均值的一致性(误差小于3 dB),并构建随机椭球体的蒙特卡洛模型对散射截面积进行统计分析。结果表明,单个气泡目标强度起伏统计特性符合卡方分布模型,声光联合方法可为水下非球形气泡声散射研究提供可靠支撑,为水下气体泄漏检测提供数据参考。

     

    Abstract: To address the challenge of active acoustic detection of underwater gas leakage, this study focuses on freely rising single non-spherical bubbles as the research object. A combined acoustic-optical observation experimental platform is established to synchronously acquire dynamic behavioral data during bubble ascent and acoustic scattering target strength (TS) measurements in an underwater acoustic experimental tank. The acoustic scattering characteristics of single bubbles are systematically analyzed over the 70–120 kHz frequency band. Three distribution models—Chi-square, Rice, and Normal—are employed to fit the random fluctuations observed in the experimentally derived TS statistics; the Kolmogorov–Smirnov (K–S) test is used to evaluate the goodness-of-fit of these statistical models. Meanwhile, based on a binocular vision algorithm, 3D morphological reconstruction of individual bubbles is performed, and simulation calculations are conducted to verify consistency between simulated and experimental mean TS values (with a deviation of < 3 dB). Furthermore, a Monte Carlo model based on randomly oriented ellipsoids is developed for statistical analysis of the scattering cross-section. Results indicate that the statistical distribution of target strength fluctuations for single non-spherical bubbles is best described by the chi-square (χ2) distribution. This integrated acoustic-optical approach provides reliable theoretical and experimental support for studying acoustic scattering from underwater non-spherical bubbles and offers valuable reference data for underwater gas leakage detection.

     

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