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The use of acoustic inversion to estimate the bubble size distribution in pipelines

机译:使用声学反演估算管道中的气泡尺寸分布

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The most popular technique for estimating the gas bubble size distribution (BSD) in liquids is through the inversion of measured attenuation and/or sound speed of a travelling wave. The model inherent in such inversions never exactly matches the conditions of the measurement, and the size of the resulting error (which could well be small in quasi-free field conditions) cannot be quantified if only a free field code exists. Users may be unaware of errors because, with sufficient regularization, such inversions can always be made to produce an answer, the accuracy of which is unknown unless independent (e.g. optical) measurements are made. This study was commissioned to assess the size of this error for the mercury-filled steel pipelines of the target test facility (TTF) of the spallation neutron source at Oak Ridge National Laboratory, TN, USA. Large errors in estimating the BSD (greater than 1000% overcounts/undercounts) are predicted. A new inversion technique appropriate for pipelines such as TTF gives good BSD estimations if the frequency range is sufficiently broad. However, it also shows that implementation of the planned reduction in frequency bandwidth for the TTF bubble sensor would make even this inversion insufficient to obtain an accurate BSD in TTF.
机译:估计液体中气泡尺寸分布(BSD)的最流行技术是通过对行波的衰减和/或声速进行反演。这种反演中固有的模型永远不会完全符合测量条件,并且如果仅存在自由场代码,则无法量化最终误差的大小(在准无场条件下可能很小)。用户可能没有意识到错误,因为如果进行了充分的正则化,则总是可以进行这种反演以产生答案,除非进行了独立的(例如光学)测量,否则答案的准确性是未知的。委托本研究来评估美国田纳西州橡树岭国家实验室的散裂中子源目标测试设施(TTF)的含汞钢管的误差大小。预计在估计BSD时会出现较大的错误(超过计数/低于计数1000%)。如果频率范围足够宽,则适用于管道(例如TTF)的新反演技术将提供良好的BSD估计。但是,这也表明,为TTF气泡传感器计划减少带宽的实施将使该反转甚至不足以在TTF中获得准确的BSD。

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