个人信息

姓名：敖愈

性别：男

职称：讲师

导师类别：无

职务：无

所在系所：安全工程系

Email：aoyu@cup.edu.cn

个人简介

敖愈，博士，中国石油大学（北京）安全与海洋工程学院讲师。主要从事人工智能与工程力学交叉领域研究，围绕复杂海洋工程装备中的流固耦合行为建模、智能预测与优化设计开展研究。针对海洋工程装备中的复杂多物理场问题，发展融合物理机理与数据驱动的智能建模方法，实现装备状态监测、性能预测及优化设计。主持国家自然科学基金青年项目（C类）一项、获得国家资助博士后研究人员计划（BC档）资助、参与国家自然科学基金委员会专项项目、面上项目等；以第一作者、通讯作者发表SCI论文10篇。

主要研究方向包括：（1）海洋装备数字孪生与智能预测；（2）跨介质流固耦合行为智能建模与快速预报；（3）人工智能辅助海洋结构设计。

教育及工作经历

2026.07—至今，    中国石油大学（北京）安全与海洋工程学院，讲师

2023.07—2026.07，北京大学，力学与工程科学学院，博士后

2019.09—2021.10，美国加州大学伯克利分校，土木与环境工程系，联合培养博士

2016.09—2023.07，哈尔滨工程大学，船舶工程学院，力学，博士

2015.09—2016.07，哈尔滨工程大学，船舶工程学院，船舶与海洋结构物设计制造，硕士

2011.09—2015.07，哈尔滨工程大学，船舶工程学院，船舶与海洋工程，本科

代表性论文

[1] Yu A, Pengyu L, Yuqing H, et al. Real-time prediction and reconstruction of hydrofoil structural stress using machine learning, Ocean Engineering, 2026, 345: 123642. (Q1, IF=5.5)

[2] He M*, Xie M, Ao Y*, et al. Predictive modeling of high-speed ice-structure interaction using PD-AE-LSTM[J]. Ocean Engineering, 2026, 343: 123257. (Q1, IF=5.5)

[3] Ao Y, Duan H, Li S. Artificial Intelligence-Aided Design for Unmanned Underwater Vehicles: A Multiple Activation Function Network-Based Hull Resistance Prediction[J]. IEEE Journal of Oceanic Engineering, 2025. (Q1, IF=5.3)

[4] Ao Y, Li S, Duan H. Artificial intelligence-aided design (AIAD) for structures and engineering: a state-of-the-art review and future perspectives[J]. Archives of Computational Methods in Engineering, 2025: 1-28. (Q1, IF=12.1)

[5] Ao Y, Duan H, Li S. An integrated-hull design assisted by artificial intelligence-aided design method[J]. Computers & Structures, 2024, 297: 107320. (Q1, IF=4.8)

[6] Ao Y, Li S, Li Y, et al. The construction of a neural network proxy model for ship hull design based on multi-fidelity datasets and the parameter freezing strategy[J]. Journal of Marine Engineering & Technology, 2024, 23(4): 270-280. (Q1, IF=4.4)

[7] Yu A, Li Y, Li S, et al. Construction high precision neural network proxy model for ship hull structure design based on hybrid datasets of hydrodynamic loads[J]. Journal of Marine Science and Application, 2024, 23(1): 49-63. (Q2, IF=2.1)

[8] Ao Y, Xu J, Zhang D, et al. Artificial Intelligence Aided Design of Hull Form of Unmanned Underwater Vehicles for Minimization of Energy Consumption[J]. Journal of Computing and Information Science in Engineering, 2024, 24(1): 011003. (Q2, IF=3.3)

[9] Ao Y, Li Y, Gong J, et al. An artificial intelligence-aided design (AIAD) of ship hull structures[J]. Journal of Ocean Engineering and Science, 2023, 8(1): 15-32. (Q1, IF=11.8)

[10] Ao Y, Li Y, Gong J, et al. Artificial intelligence design for ship structures: A variant multiple-input neural network-based ship resistance prediction[J]. Journal of Mechanical Design, 2022, 144(9): 091707. (Q2, IF=3.0)

[11] Hou Y, Zou Y, Liu J, Chen M, Ao Y, Li B, Lv P, Yan J, Xu B, Li H. High-fidelity prediction of velocity control performance for a cross-domain vehicle via a coupled CFD-control Co-simulation approach[J]. Ocean Engineering, 2026, 362, p.126296. (Q1, IF=5.5)

[12] Hou Y, Liu J, Wang D, Shen X, Lv P, Ao Y, Zou Y, Duan F, Li H. Velocity and trajectory tracking control model for underactuated UUVs through coupling of direct CFD and PID control algorithm[J]. Ocean Engineering, 2025, 314, p.119775. (Q1, IF=5.5)

[13] He M, Wang YX, Fan Lin E, Cui W, Ao Y, Yan J, Li H. Simulation and mechanism study of cavity collapse of small angle conical projectile entry into water[J]. Physics of Fluids, 2025, 37(7).

[14] Zhang Z, Ao Y, Li S, et al. An adaptive machine learning-based optimization method in the aerodynamic analysis of a finite wing under various cruise conditions[J]. Theoretical and Applied Mechanics Letters, 2024, 14(1): 100489. 

[15] Chen Q, Xie Y, Ao Y, et al. A deep neural network inverse solution to recover pre-crash impact data of car collisions[J]. Transportation research part C: emerging technologies, 2021, 126: 103009. (Q2, IF=3.3)

科研项目

1.多源数据驱动的回转体高速入水空泡演化及流固耦合响应机制研究，国家自然科学基金青年科学基金项目（C类），2026—2028，主持。

2.基于机器学习的航行体入水降载增稳机理研究，国家资助博士后研究人员计划（C档），2023—2026，主持。

3.人工智能增强跨水空介质流固耦合多尺度建模与降载增稳调控，国家自然科学基金专项项目，2025—2026，参与。

4.水下航行体长效稳定气层减阻机理及多工况自适应调控方法研究，国家自然科学基金面上项目，2026—2029，参与。