
姓名:王立悦
办公室:延长校区力学所310室
通信地址:上海市延长路149号力学所,邮编:200072
电子邮件:liyuewang@shu.edu.cn
【工作经历】
2025/01 至今,上海大学,力学与工程科学学院,副教授
2022/07-2024/12,复旦大学,航空航天系,博士后
【教育经历】
2017/09-2022/06 复旦大学 航空航天系 流体力学 理学博士
2013/09-2017/06 华中科技大学 物理学院 应用物理学 理学学士
【研究方向】
航空飞行器设计空气动力学
飞行器复杂湍流与噪声
面向飞机/航空发动机的仿生表面流动控制
AI赋能的CFD方法、流动机理研究与气动设计
课题组开展以流体力学为基础的多学科交叉融合研究,欢迎具有流体力学、数学、人工智能、材料科学等学科背景的同学加盟上海大学钱伟长空气动力学研究中心团队!
【发表论文】
[1] Liyue Wang; Cong Wang; Xinyue Lan; Haochen Zhang; Gang Sun; Jinzhang Feng; Meng Wang; Yunliang Zhang; A relay-based probabilistic prediction model for multi-fidelity scenarios in the total pressure loss of a compressor cascade with micro-textured surfaces, Chinese Journal of Aeronautics, 2025, 中科院一区.
[2] Liyue Wang; Cong Wang; Gang Sun; Jinzhang Feng; Yunliang Zhang; Effects of bird feather-like convergent-divergent-riblet surfaces on the total pressure loss and wake turbulence of a transonic compressor cascade. Physics of Fluids, 2024, 36 (10): 109101; 中科院一区.
[3] Liyue Wang; Haochen Zhang; Xinyue Lan; Cong Wang; Sheng Qin; Gang Sun; Jinzhang Feng; Position Query-Guided Cross-modal Flow Field Prediction Model of a Transonic Compressor Cascade. Physics of Fluids, 2024, 36 (10):107156; 中科院一区.
[4] Liyue Wang; Cong Wang; Xinyue Lan; Gang Sun; Bo You; Yongjian Zhong; Yan Hu; High fidelity surface flow data-driven aerodynamic solution strategy for non-smooth configurations: Study of compressor cascade with micro riblet surface, Physics of Fluids, 2022, 34(12): 127114;中科院一区.
[5] Liyue Wang; Cong Wang; Shuyue Wang; Gang Sun; Bo You; Yan Hu ; A novel ANN-Based boundary strategy for modeling micro/nanopatterns on airfoil with improved aerodynamic performances, Aerospace Science and Technology, 2022, 121: 107347;中科院一区.
[6] Liyue Wang; Cong Wang; Shuyue Wang; Sheng Qin; Gang Sun; Bo You; Yongjian Zhong ; A boundary surrogate model for micro/nano grooved surface structure applied in turbulence flow control over airfoil, Chinese Journal of Aeronautics, 2022, 35(2): 62-73;中科院一区.(亮点文章报道)
[7] Liyue Wang; Haochen Zhang; Cong Wang; Jun Tao; Xinyue Lan; Gang Sun; Jinzhang Feng. A Review of Intelligent Airfoil Aerodynamic Optimization Methods Based on Data-Driven Advanced Models, Mathematics, 2024, 12(10):1417.
[8] Liyue Wang; Cong Wang; Sheng Qin; Jun Tao; Xinyue Lan; Gang Sun; Bo You; Meng Wang; Yongjian Zhong; Yan Hu; Huawei Lu; Experimental Study on Performance of Transonic Compressor Cascade with Microgroove Polyurethane Coatings, Fluids, 2022, 7(6): 190.
[9] Liyue Wang; Cong Wang; Shuyue Wang; Gang Sun; You Bo ; Design and analysis of micro-nano scale nested-grooved surface structure for drag reduction based on ‘Vortex-Driven Design’, European Journal of Mechanics B-fluids, 2021, 85: 335-350.
[10] Cong Wang; Liyue Wang; Sheng Qin; Gang Sun; et al. Implementation of flow loss minimization incorporating the riblet technique on cascade profile and experimental validation. Aerospace Science and Technology, 2023, 133: 108153; 中科院一区.
[11] Cong Wang;Liyue Wang; Sheng Qin; Gang Sun; et al. Aerodynamic Optimization Framework for a Three-Dimensional Nacelle Based on Deep Manifold Learning-Assisted Geometric Multiple Dimensionality Reduction. Aerospace, 2023, 10(7), 573.
[12] Xinyue Lan; Liyue Wang; Cong Wang; Gang Sun; et al. Prediction of Transonic Flow over Cascades via Graph Embedding Methods on Large-Scale Point Clouds. Aerospace, 2024, 10(12).
[13] Cong Wang; Shuyue Wang; Liyue Wang; et al. Framework of nacelle inverse design method based on improved generative adversarial networks. Aerospace Science and Technology, 2022, 121: 107365;中科院一区.
[14] Sheng Qin; Shuyue Wang; Liyue Wang; Cong Wang; et al. Multi-objective optimization of cascade blade profile based on reinforcement learning. Applied Sciences, 2020, 11(1): 106
[15] Shuyue Wang; Chen Cao; Cong Wang; Liyue Wang; et al. A nacelle inlet design approach with more three-dimensional geometric consideration. Aerospace Science and Technology, 2021, 112: 106624;中科院一区.
[16] Shuyue Wang; Cong Wang; Chen Cao; Liyue Wang; et al. Application of “Objective Space Filtration”on Nacelle Cowl Design Variable Generation. Journal of Aerospace Engineering, 2023, 36(1): 06022003.
[17] 孙刚, 王聪, 王立悦, 等. 人工智能在气动设计中的应用与展望. 民用飞机设计与研究, 2021(03): 1-9+147.
[18] 张睿韬;王聪;陶俊;王立悦;孙刚;基于潜在扩散模型的翼型参数化方法.航空学报,1-15[2025-03-11].EI/核心.
[19] 杨英杰;秦晟;张浩;陶俊;王立悦;孙刚;基于RF-GRNN复合方法的压气机转静叶排间流量研究.航空计算技术,2023,53(03):65-69.
【科研项目】
[1] 国家自然科学基金青年基金项目,主持,2024/01-2026/12;
[2] 上海市“科技创新行动计划”启明星项目(扬帆专项), 主持,2023.03-2026.03;
[3] 上海市“超级博士后”激励计划,主持,2022.12-2024.12;
[4] 中国博士后科学基金面上资助项目,主持,2022.12-2024.12;
[5] 上海市经信委、上海市教委、中国航发商用航空发动机有限责任公司联合资助项目, 参与,2020.12-2023.12;
[6] 上海市经信委、上海市教委、中国航发商用航空发动机有限责任公司联合资助项目, 参与,2019.11-2020.11;
[7] 西北工业大学外协课题,参与,2023.12-2025.06.
【科研团队】
上海大学现代飞行器空气动力学研究中心成立于2019年,2023年更名为上海大学钱伟长空气动力学研究中心。中心立足于国家军民融合工程,服务国防军工、航空航天航海和社会经济建设,确立了“应用导向”、“定为前沿”、“领域布局”的发展方向,重点开展空天飞行器的关键空气动力学问题和与空气动力学耦合的重大难题及水下航行关键水动力学噪声问题。飞行器中心现在教授3名、副教授2名、讲师1名、博士后1名、博士研究生12名、硕士研究生10名。飞行器中心先后承担了包括国家自然科学基金项目、国家数值风洞重大项目、国家航空发动机重大项目、军队科研院所等国家级重点项目多项。飞行器中心注重理论与工程应用的结合,一方面开展针对国防军领域的CFD软件开发技术的研究,解决航空航天航海的气动、水动及噪声问题;另一方面注重开展基于工程问题的新型数值方法、噪声机理、流动控制机理等基础科学研究。飞行器中心建有1000核高性能计算机集群和独立的实验室等先进的计算资源和舒适的科研环境。