Study on Uncertainty of Two-Phase Flow Parameter Detection Based on Monte Carlo Method

Liu Li; Zhu Longxiang; Zhang Luteng; Ma Zaiyong; Sun Wan; Pan Liangming; Deng Jian

doi:10.13832/j.jnpe.2024.04.0038

Volume 45 Issue 4

Aug. 2024

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Article Navigation > Nuclear Power Engineering > 2024 > 45(4): 38-44

Liu Li, Zhu Longxiang, Zhang Luteng, Ma Zaiyong, Sun Wan, Pan Liangming, Deng Jian. Study on Uncertainty of Two-Phase Flow Parameter Detection Based on Monte Carlo Method[J]. Nuclear Power Engineering, 2024, 45(4): 38-44. doi: 10.13832/j.jnpe.2024.04.0038

Citation:

Liu Li, Zhu Longxiang, Zhang Luteng, Ma Zaiyong, Sun Wan, Pan Liangming, Deng Jian. Study on Uncertainty of Two-Phase Flow Parameter Detection Based on Monte Carlo Method[J]. Nuclear Power Engineering, 2024, 45(4): 38-44. doi: 10.13832/j.jnpe.2024.04.0038

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Study on Uncertainty of Two-Phase Flow Parameter Detection Based on Monte Carlo Method

doi: 10.13832/j.jnpe.2024.04.0038

Liu Li^{1, 2
,},
Zhu Longxiang^{1, 2, 3
,
,},
Zhang Luteng^{1, 2},
Ma Zaiyong^{1, 2},
Sun Wan^{1, 2},
Pan Liangming^{1, 2},
Deng Jian⁴

1.
Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
2.
Postdoctoral Station of Power Engineering and Engineering Thermophysics, Chongqing University, Chongqing, 400044, China
3.
Department of Nuclear Engineering and Technology, Chongqing University, Chongqing, 400044, China
4.
Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2023-10-17
Rev Recd Date: 2024-06-07
Publish Date: 2024-08-12

Abstract

Abstract

Bubble velocity and bubble number are key parameters for calculating the phase characteristics such as interfacial area concentration, so it is necessary to study the uncertainty of bubble velocity and number measured by the conductivity probe. The Monte Carlo method is adopted to generate a large number of random bubble motion samples, and the statistical law of1~6 mm bubbles captured by the probe is obtained. By introducing the relative velocity fluctuation component H, the influence of bubble transverse velocity on the effective bubble number and bubble velocity is studied. The results show that the presence of bubble transverse velocity alleviates the inability to measure smaller bubbles due to the probe transverse spacing. However, the number of effective bubbles significantly decreases and the number of escaping bubbles increases with the increase of bubble transverse velocity. Meanwhile, the velocity error only comes from the probe transverse spacing when H=0, and the velocity error decreases with the increase of the bubble diameter. When H≠0, for bubbles with a diameter greater than 3 mm, the transverse movement of the bubbles to the left or right makes the probe pass through the bubbles far from the central axis, which leads to the increase of the actual moving distance of the bubbles and the increase of the velocity error. This study can provide a reference for determining and correcting the uncertainty of two-phase flow parameters such as interfacial area concentration.
- Monte Carlo method,
- Bubble transverse velocity,
- Effective bubble number,
- Hitting angle

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References(15)

References

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