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姓名: 李孝检
性别:
英文名: Xiaojian Li
人才称号:
职称: 助理研究员
职务: 专业: 流体力学
所在机构: 力学系 个人主页:
邮箱: lixiaojian@tju.edu.cn 办公地点: 北洋园校区 36楼 413室
传真: 办公电话:
主要学历: 2010-2014 西北工业大学 飞行器动力工程 学士
2014-2016 天津大学 流体力学 硕士
2016-2020 天津大学 流体力学 博士


主要学术经历: 2019-2020 瑞典查尔姆斯理工大学 访问学者
2020-至今 天津大学 力学系 助理研究员


主要研究方向: 航空/车船压气机气动力学与流动稳定性
叶轮机械数据挖掘与人工智能优化
流体力学与机器学习


主要讲授课程:

主要学术兼职: Structural and Multidisciplinary Optimization, Nuclear Engineering and Technology, Entropy,Turbocharging seminar, GPPS等国际期刊和学术会议审稿人

主要学术成就:

主要科研项目: 1) 国家青年基金,径流式压缩机突尖型流动失稳的固有模态与扰动波耦合机理研究,30万,主持.
2) 天津大学自主基金,航行器微气泡减阻技术研究,3万,主持.
3) ××项目,××数据挖掘与智能融合,25万,主持.
4) 应急管理部项目,压缩空气泡沫流体输送特性仿真计算,15.5万,主持.
5) 校企联合项目,高温高压阀门密封面电镀关键技术开发,20万,主持.
6) 校企联合项目,燃料电池仿真软件介质物性开发服务,20万,主持.
7) 欧盟委员会创新基金,欧盟清洁天空计划 Clean Sky II,Installed Advanced Nacelle Ultra High Bypass Ratio Optimization and Evaluation (IVANHOE),2600万,参加.
8) 国家面上项目,离心压气机突尖失速涡/波演化特征的全局时空解耦研究,63万,参加.
9) 天津市自然科学基金重点项目,超临界二氧化碳压缩系统智能设计技术研究,20万,参加.



代表性论著: 代表论文:
[1] Li Xiaojian, Zhao Yijia, Liu zhengxian. A novel global optimization algorithm and data-mining methods for turbomachinery design. Structural and Multidisciplinary Optimization, 2019, 60(2): 581–612.
[2] Li Xiaojian, Zhao Yijia, Liu zhengxian, et al. A new methodology for preliminary design of centrifugal impellers with prewhirl. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2020, 234(3): 251- 262.
[3] Li Xiaojian, Liu Zhengxian, Zhao Yijia. Redesign of Casing Treatment for a Transonic Centrifugal Compressor Based on a Hybrid Global Optimization Method. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021.
[4] Li Xiaojian, Zhao Yijia, Liu zhengxian, et al. Dynamic mode decomposition analysis of the flow characteristics in a centrifugal compressor with vaned diffuser[J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2021, 235(1): 154-168.
[5] Li Xiaojian, Zhao Yijia, Liu zhengxian, et al. A new method for performance map prediction of automotive turbocharger compressors with both vaneless and vaned diffusers[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2021, 235(6): 1734-1747.
[6] Li Xiaojian, Liu zhengxian, Lin Yujing. Multipoint and multiobjective optimization of a centrifugal compressor impeller based on genetic algorithm. Mathematical Problems in Engineering, 2017, (1):1-18.
[7] Li Xiaojian, Zhao Yijia, Yao Huadong, et al. A New Method for Impeller Inlet Design of Supercritical CO2 Centrifugal Compressors in Brayton Cycles. Energies, 2020, 13(19): 5049.
[8] Zhou Tao, Liu Zhengxian, Li Xiaojian*, et al. Thermodynamic design space data-mining and multi-objective optimization of SCO2 Brayton cycles[J]. Energy Conversion and Management, 2021, 249: 114844.
[9] Li Xiaojian, Zhao Yijia, Liu Zhengxian, et al. The optimization of a centrifugal impeller based on a new multi-objective evolutionary strategy. Turbo Expo: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2016, 49712: V02CT39A022.
[10] Zhao Yijia, Zhao Ming, Li Xiaojian, et al. A modified proper orthogonal decomposition method for flow dynamic analysis. Computers & Fluids. 2019, 182: 28-36.
[11] Zhao Yijia, Liu Zhengxian, Li Xiaojian, et al. A modified turbulence model for simulating airflow aircraft cabin environment with mixed convection. Building Simulation, 2020.
[12] Zhao Ming, Wang Xian, Li Xiaojian, et al. A hierarchical reconstruction for DG/FV method with low dispersion: Basic formulation and 1D application. Computers and Fluids, 2021.
[13] 王颖,刘正先,李孝检*,等. 基于时延互相关分析的压气机前失速特征分析,推进技术,2021.
[14] 熊先闯,刘正先,赵明,李孝检*. 基于BWR状态方程的超临界二氧化碳主要热力参数推算, 石油化工, 2021.

专利与软著:
[1] 李孝检, 刘正先. 基于最大流量系数的离心叶轮预旋进气焓升系数计算方法, 2019.
[2] 李孝检, 赵祎佳, 刘正先. 压气机全工况性能预测方法, 2020.
[3] 李孝检, 赵祎佳; 刘正先. 一种叶轮的设计方法, 2020.
[4] 李孝检, 刘正先, 赵祎佳, 宋子帅. 压气机设计与优化软件Impeller Studio, 2020.


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