دورية أكاديمية

Development of a one-dimensional system code for the analysis of downward air-water two-phase flow in large vertical pipes

التفاصيل البيبلوغرافية
العنوان: Development of a one-dimensional system code for the analysis of downward air-water two-phase flow in large vertical pipes
المؤلفون: Donkoan Hwang, Soon Ho Kang, Nakjun Choi, HangJin Jo
المصدر: Nuclear Engineering and Technology, Vol 56, Iss 1, Pp 19-33 (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Nuclear engineering. Atomic power
مصطلحات موضوعية: Thermal-hydraulic system code, Frictional pressure gradient in two-phase flow, Large vertical pipes, Two-phase flow, Two-phase multiplier, Drift-flux model, Nuclear engineering. Atomic power, TK9001-9401
الوصف: In nuclear thermal-hydraulic system codes, most correlations used for vertical pipes, under downward two-phase flow, have been developed considering small pipes or pool systems. This suggests that there could be uncertainties in applying the correlations to accident scenarios involving large vertical pipes owing to the difference in the characteristics of two-phase flows, or flow conditions, between large and small pipes. In this study, we modified the Multi-dimensional Analysis of Reactor Safety KINS Standard (MARS-KS) code using correlations, such as the drift-flux model and two-phase multiplier, developed in a plant-scale air-inflow experiment conducted for a pipe of diameter 600 mm under downward two-phase flow. The results were then analyzed and compared with those based on previous correlations developed for small pipes and pool conditions. The modified code indicated a good estimation performance in two plant-scale experiments with large pipes. For the siphon-breaking experiment, the maximum errors in water flow for modified and original codes were 2.2% and 30.3%, respectively. For the air-inflow accident experiment, the original code could not predict the trend of frictional pressure gradient in two-phase flow as ⟨jg⟩/⟨j⟩ increased, while the modified MARS-KS code showed a good estimation performance of the gradient with maximum error of 3.5%.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1738-5733
Relation: http://www.sciencedirect.com/science/article/pii/S1738573323003856; https://doaj.org/toc/1738-5733
DOI: 10.1016/j.net.2023.08.023
URL الوصول: https://doaj.org/article/09bdd20d95434013ac19ca4e79819691
رقم الأكسشن: edsdoj.09bdd20d95434013ac19ca4e79819691
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17385733
DOI:10.1016/j.net.2023.08.023