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劉曉星

劉曉星副教授

電子郵箱:liuxx85@mail.sysu.edu.cn

研究領域:反應堆熱工水力;快中子反應堆安全分析; 無網格移動粒子類方法(MPS, SPH等)

學科方向和團隊

核能科學與工程,先進核能系統團隊

 

個人資料

劉曉星,河北邯鄲人,博士,中山大學百人計劃副教授,博士生導師

郵箱: liuxx85@mail.sysu.edu.cn,zdliuxiaoxing@163.com

 

教育經歷

2012.10-2015.9,九州大學(日本)應用物理與核工程系  博士研究生 指導老師:守田幸路

2010.9-2012.6,浙江大學 計算數學專業  碩士研究生

2006.9-2010.6,浙江大學 數學系 本科

 

工作經歷

2020.6-至今,中山大學中法核工程與技術學院,百人計劃副教授

2015.10-2020.5,日本九州大學應用物理與核工程系,博士后研究員

 

研究領域

反應堆熱工水力

快中子反應堆事故模擬和安全分析

無網格移動粒子類方法(MPS, SPH等)

 

畢業學生

2025年 碩士 盧正然(吉林省公務員)

2023年 碩士 呂俊儒 (深圳市公務員) 金文輝(共同指導,TPLINK) 陳松徽(共同指導,近物所)

2022年 碩士 許益華(東京大學博士在讀)

2021年 碩士 徐銳聰(共同指導,東京大學博士在讀)

 

科研項目

2025-2027 國家自然科學基金聯合基金 課題負責人

2024  成果轉化類重點項目 一種復雜幾何自由面流動多分辨率數值模擬方法及系統  項目負責人 

2023-2024 橫向項目 聚變堆關鍵安全現象模擬仿真驗證  項目負責人

2021-2022 橫向項目 微小通道氣溶膠沉積試驗入口效應模型評估與驗證 項目負責人

2021-2022 橫向項目 基于MPS-DEM方法的核反應堆嚴重事故模型開發  項目負責人

2020-2021 橫向項目  MPS方法的兩相流模型開發  項目負責人

2021-2024  廣東省區域聯合基金青年基金項目 基于MPS方法的鈉冷快堆嚴重事故下熔融燃料和冷卻劑相互作用研究  項目負責人

2021-2023  廣州市基礎與應用基礎研究項目 面向多相流模擬的自適應多分辨率無網格移動粒子方法開發  項目負責人

2016-2020  日本經濟產業省項目“鈉冷快中子反應堆嚴重事故中的共晶反應模型開發” 主要完成人

2012-2015  日本原子力研究開發機構-九州大學聯合研究課題“鈉冷快堆堆芯解體事故驗證實驗EAGLE-ID1數值模擬研究” 主要參與者

 

學術兼職

JANDT International Journal of Advanced Nuclear Reactor Design and Technology 期刊青年編輯

分會主席   第二十一屆IACM計算流體大會(CFC 2021) 2021.10 中國杭州

分會主席   第十二屆反應堆熱工水力運行和安全國際會議 (NUTHOS-12), 2018.10 中國青島

分會主席   第十一屆反應堆熱工水力運行和安全國際會議 (NUTHOS-11), 2016.10,韓國首爾

 

發表期刊論文

[1]X Liu*, S He*, W Huang, X Wang, X. A stabilized LSMPS for three-dimensional complex free-surface flow with moving wall. Computer Methods in Applied Mechanics and Engineering, 2025, 441, 117998.

[2]X Liu, K Wang*, S Cheng, S Zhang*. A volume compensation model for multi-resolution moving particle method simulating free-surface flow. Engineering Analysis with Boundary Elements, 2025, 171, 106080.

[3]X Liu, K Wang, G Duan*, S Zhang*. A volume-conservation particle shifting scheme for moving particle method simulating free-surface flow. Computational Particle Mechanics, 2024: 1-12.

[4]X Liu, Y Xu, K Wang, S Cheng, L Tong*. Study on bubble dynamics in sodium using three-dimensional MPS method. Nuclear Engineering and Design, 416(2024), 112810.

[5] R Xu, X. Liu*, S Cheng. Numerical study of debris bed formation behavior for severe accident in sodium-cooled fast reactor by using least square MPS-DEM method. Nuclear Engineering and Design, 2023, 415: 112624.

[6] K Wang, H Cheng, X. Liu*, C. Y. Li, K Okamoto, How nucleation site density affects the nucleate boiling crisis: Explanations of varied experimental results based on a bubble percolation method. International Communications in Heat and Mass Transfer, 2023, 140, 106552.

[7]Y. Xu, R. Xu, R., H. Cheng*,X. Liu*, S Cheng, S. Numerical simulation of jet breakup phenomenon during severe accident of sodium-cooled fast reactor using MPS method. Annals of Nuclear Energy, 172 (2022) 109087.

[8]X Liu*, L Tong*, Numerical study of gas bubble rising in liquid sodium using advanced MPS method, Nuclear engineering and Design, 2022, 397: 111924

[9]X Liu, S Zhang*, Development of adaptive multi-resolution MPS method for multiphase flow simulation. Computer Methods in Applied Mechanics and Engineering, 2021, 387: 114184. 

[10] X Liu*, K Morita, S Zhang, Direct numerical simulation of incompressible multiphase flow with vaporization using moving particle semi-implicit method, Journal of Computational Physics, 425 (2021) 109911, Top.

[11]X Liu*, K Morita, S Zhang, Machine learning based surface tension model for multiphase flow simulation using particle method, International Journal for Numerical Methods in Fluids, 93(2) (2021) 356-368.

[12]X Liu*, K Morita, S Zhang, Comparative study of two corrective gradient models in the simulation of multiphase flows using MPS,International Journal for Numerical Methods in Fluids, 92 (6) (2020) 573-586.

[13]X Liu*, K Morita, S Zhang, A stable moving particle semi-implicit method with renormalized Laplacian model improved for incompressible free-surface flows,Computer Methods in Applied Mechanics and Engineering, 356 (2019) 199-219, Top.

[14]X Liu*, K Morita, S Zhang, A conservative Finite volume-particle hybrid method for simulations of incompressible interfacial flow, Computer Methods in Applied Mechanics and Engineering, 355 (2019) 840-859, Top.

[15]X Liu*, K Morita, S Zhang, An ALE pairwise-relaxing meshless method for compressible flows,Journal of Computational Physics, 387 (2019) 1-13, Top.

[16]X Liu*, K Morita, S Zhang, A pairwise-relaxing incompressible smoothed particle hydrodynamics scheme,Computer Methods in Applied Mechanics and Engineering, 348 (2019) 297-312, Top.

[17]X Liu*, K Morita, S Zhang, An advanced moving particle semi-implicit method for accurate and stable simulation of incompressible flows,Computer Methods in Applied Mechanics and Engineering, 339 (2018) 467-487, Top.

[18]X Liu*, R Ogawa, M Kato, K Morita, S Zhang, Accuracy and stability enhancements in the incompressible finite-volume-particle method for multiphase flow simulations,Computer Physics Communications, 230 (2018) 59-69, Top.

[19]X Liu*, K Morita, S Zhang, Enhancement of the accuracy of the finite volume particle method for the simulation of incompressible flows,International Journal for Numerical Methods in Fluids, 12 (85) (2017) 712-726.

[20]X Liu*, L Guo, K Morita, S Zhang, Development of a hybrid particle-mesh method for two-phase flow simulations,International Journal for Numerical Methods in Fluids, 82 (6) (2016) 334-347.