基本信息

 

 

李良星，副教授，硕/博士生导师

动力工程多相流国家重点实验室

西安交通大学

研究方向

多相流动与传热的理论和实验研究；

多孔介质内的流动与传热；

流动沸腾及其强化传热；

先进反应堆热工水力；

反应堆严重事故实验和理论研究；

大数据及数据驱动分析

联系方式

兴庆校区：

西安交通大学动力工程多相流国家重点实验室,西209室

陕西省西安市咸宁西路28号， 710049

 

创新港校区

地址：西安交通大学动力工程多相流国家重点实验室/能源科学与技术研究院
            陕西省西咸新区沣西新城中国西部科技创新港，712000

办公地点：敏行楼（1号巨构）1-3161

 

Email：liangxing.li@mail.xjtu.edu.cn

个人主页：http://gr.xjtu.edu.cn/web/liangxing.li

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State Key Laboratory of Multiphase Flow in Power Engineering，Xi'an Jiaotong University

Xianning West Road 28#, Xi'an city, 710049, P.R. China

Email：liangxing.li@mail.xjtu.edu.cn

我的新闻

工作经历

2013.01—至今       副教授                                  西安交通大学动力工程多相流国家重点实验室

2012.06—2012.12  高级研究员（兼）    Sehgal 咨询公司（瑞典）

2010.06—2012.12  高级研究员/硕、博导师     瑞典皇家工学院，物理系，核动力安全研究室

2008.06—2010.05  博士后              瑞典皇家工学院，物理系，核动力安全研究室

教育经历

2001.09-2008.05   硕博连读   动力工程及工程热物理  西安交通大学

1997.09-2001.06   本科           热能工程        湛江海洋大学（今广东海洋大学）

研究工作

面向能源（化石能源和新能源）、动力（常规动力和核动力）领域内关键理论和核心技术，围绕多相流动传热问题开展理论分析、实验研究和数值计算研究工作，研究方向涉及流动沸腾及强化换热、多孔介质内单相/两相流动换热、先进反应堆热工水力及关键部件的优化设计、反应堆严重事故缓解技术等，并积极探索和利用数据驱动与人工智能技术、低碳经济及可持续发展理论开展学术交叉研究。

 

                                           

      

                                                                                  

数据驱动下的先进核反应堆热工水力分析

       在机器学习方法和数字孪生技术的支持下，扎根先进反应堆热工水力的难点痛点，建立了铅冷快堆主泵数字孪生平台、严重事故碎片床多孔流型识别，铅冷快堆主换热器设计优化，为先进核反应堆的快速响应，实时监测与多目标优化提供参考。

  1. 基于多目标PINN代理模型的铅冷快堆数字孪生平台开发

  1. 核反应严重事故-碎片床多孔介质流型识别

 

    

  1. 基于GA算法的铅冷快堆主换热器优化研究

  1. 机器学习算法下的风机疲劳寿命实时监测

 

以往研究内容与其他研究方向：

 

 

 

 

 

代表性论文

          已发表学术论文100余篇。近年来学术论文节选如下：

  1. Zhenxin Lei, Liangxing Li, Haoxiang Zhao, Shang Shi, Zutao Xiang, and Xiangyang Xu. "Study on Coupled Heat Transfer Characteristics and Performance Optimization for a Helical Coil Heat Exchanger in the Lead-Cooled Fast Reactor." Progress in Nuclear Energy 2025: 105583. 【SCI:001394859200001】
  2. Liangxing Li, Shang Shi, Jiayuan Zhao, and Zhenxin Lei. "Numerical Analysis on the Flow and Heat Transfer Characteristics of Heat Exchanger with Cruciform Tube." Annals of Nuclear Energy 2025: 110875. 【SCI:001301714900001】
  3. Zutao Xiang, Liangxing Li, Xiangyang Xu, Zhenxin Lei, Shang Shi, and Jiayuan Zhao. "Two-Way Fluid-Structure Coupling Analysis of Liquid Lead-Bismuth Main Coolant Pump Based on Three Different Blade Materials." Nuclear Engineering and Technology 2024: 103385.
  4. Zutao Xiang, Liangxing Li, Xiangyang Xu, Shang Shi, and Zhenxin Lei. "Experimental and Numerical Studies on the Hydraulic Performance and the Internal Flow Characteristics of Lead-Bismuth in the Main Coolant Pump of Lfr." Nuclear Engineering and Design 2024: 113618. 【SCI:001331066600001】
  5. Liangxing Li，Latest Progress and Applications of Multiphase Flow and Heat Transfer，Applied Science-Basel, 12(8): 3369, 2024. https://doi.org/10.3390/app14083369【WOS: 001211382800001; IDS: PA5W8 】
  6. Liangxing Li，Zhao Jiayuan, Shao Jing, Coupled performance evaluation method of heat exchanger in a lead-cooled fast reactor based on life-cycle cost and exergy analysis, Annals of Nuclear Energy, 199: 110355, Sep.1, 2024. 【WOS: 001155947800001; IDS: GX4B6；EI: 20240315406609】
  7. Xiao Zeng, Liangxing Li Shuanglei Zhang, Jie Pei, Xiangyu Li, Wei Li, Yong Guo, Fengyang Quan, Yidan Yuan1*, Weimin Ma, A Scoping Study on Remelting Process of a Debris Bed in the Lower Head of Reactor Pressure Vessel, Annals of Nuclear Energy, 189: 109848, Sep.1, 2023.【WOS: 000981969400001; IDS: F4HI4；EI: 20231613889495】
  8. Xiangyu Li, Liangxing Li*, Weimin Ma. Two-phase flow patterns identification in porous media using feature extraction and SVM [J]. International Journal of Multiphase Flow. 156:104222, 2022 【SCI: 000862876000005】
  9. Xiangyu Li, Liangxing Li*, Wenjie Wang, et al., Machine learning techniques applied to identify the two-phase flow pattern in porous media based on signal analysis[J]. Applied Sciences-Basel, 12(17): 8575, 2022 . 【SCI: 000852503500001】
  10. Liangxing Li*, Haoxiang Zhao, Jiayuan Zhao, Xiangyu Li. Single/Multi-Objective Optimi- zation Design and Numerical Studies for Lead-to-Supercritical Carbon Dioxide Heat Exchanger Based on Genetic Algorithm [J]. Applied Sciences-Basel, 12:7656, 2022. 【SCI: 000838841700001】
  11. Haoxiang Zhao, Liangxing Li, Xiangyu Li, Zhengzheng Zhang. Experimental study and analysis on the interfacial drag of two-phase flow in porous media[J]. Annals of Nuclear Energy, 2022, 172: 109085. 【SCI: 000793300600005】
  12. Zhengzheng Zhang, Liangxing Li, Weimin Ma, Yidan Yuan, et al., Experimental and numerical studies on the two-dimensional flow characteristics in the radially stratified porous bed, International Communications On Heat and Mass Transfer, 133：105940，2022【SCI:000806173800006】
  13. Xiangyu Li, Liangxing Li, Haoxiang Zhao, Xiaoming Yang, et al., Identification of two-phase flow pattern in porous media based on signal feature extraction, Flow Measurement and Instrumentation, 83:102123, 2022.【SCI:000744536000004】
  14. Jiayuan Zhao, Liangxing Li, Wei Xie, Haoxiang Zhao. Flow and heat transfer characteristics of liquid metal and supercritical CO2 in a twisted tube heat exchanger. International Journal of Thermal Sciences, 174: 107453, 2022.【SCI:000744796700003】
  15. Zhang, Shuangbao, Liangxing Li, Zhengzheng Zhang, Shuanglei Zhang. Three-dimensional modeling and loss-of-coolant accident analysis of high temperature gas cooled reactor. Annals of Nuclear Energy 1502021:107840, 2021.【SCI:000590396000047】