全聚焦法回波- piv二维矢量流映射研究

T. Kawachi, H. Takahashi, H. Kikura
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引用次数: 0

摘要

在福岛第一核电站退役过程中,光学技术被应用于主安全壳(PCV)内部的检测。在此检查中,需要以下内容:确定燃料碎屑分布和确定泄漏位置。在此之前,其中一项检查取得了很大进展,使用摄像机拍摄了几张燃料碎片的图像,但由于水不清澈导致摄像机的能见度较低,没有公布泄漏的信息。针对超声-粒子成像测速(PIV)技术,为了识别泄漏位置,针对超声可用于不透明液体和超声换能器一般适用于高辐射水平的特点,提出了一种将发散波(DW)和全聚焦法(TFM)相结合的新成像方法——发散波-TFM。这种成像方法使用超声波阵列传感器,并在距离该传感器的距离内发射DW。传感器中的所有元件同时捕获DW经过的示踪粒子的回波信号,然后利用TFM算法从这些信号重建回波图像。该成像方法有望在一次传输中获得覆盖大范围的回波图像。echo -PIV是利用一定间隔连续采集的回波图像,用PIV算法对其进行处理,得到平均矢量流图(VFM)。综上所述,使用DW-TFM的echo-PIV有可能实时可视化大范围的流动行为,并且可以快速找到泄漏的位置。在研究了DW-PIV成像性能的基础上,研制了建议的回声piv测量系统,并在简单的水箱漏水条件下进行了实验测量,以验证其适用性。在本试验中,泄漏位置可以由实测VFM来假设,与实际泄漏位置吻合较好。本文介绍了该方法的可实现性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A STUDY ON 2-D VECTOR FLOW MAPPING BY ECHO-PIV WITH TOTAL FOCUSING METHOD
Optical techniques have been applied for inspecting inside the primary containment vessels (PCV) in the decommissioning of the Fukushima Dai-ichi nuclear power plant. In this inspection, the following are required: determining fuel debris distribution and identifying location of leakage. Until this data, one of the inspections achieved great progress by capturing several images of fuel debris using a video camera but no information of the leak was unveiled due to non-clear water causing poor visibility of that camera. In order to identify the location of the leak, a new imaging method combining diverging wave (DW) and total focusing method (TFM), named DW-TFM was proposed aimed at echo (ultrasound)-particle image velocimetry (PIV) since an ultrasound can be used in opaque liquid and ultrasonic transducers are generally suited to high radiation levels. This imaging method uses an ultrasonic array sensor and emits a DW spreading in the distance from that sensor. The echo signal of tracer particles where the DW passed is captured by all the elements in the sensor at the same time and an echo image is then reconstructed from those signals using TFM algorithm. The imaging method is expected to obtain echo images covering a wide range in one transmission. Echo-PIV uses consecutive echo images captured at a certain interval to process them with PIV algorithm and obtain an averaged vector flow map (VFM). Summarizing the above, echo-PIV using the DW-TFM has the potential to visualize a wide range of flow behavior in real time and it allows the location of the leak to be found quickly. After investigating the imaging performance of the DW-PIV and developing a measurement system for the suggested echo-PIV, experimental measurement was conducted under a simple condition of water leaking from a tank in order to confirm its applicability. In this test, leaking position could be assumed from the measured VFM and it has good agreement with the actual leakage position. The achievability of the method for the leakage point detection is hereby presented.
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