针对海工、航空方面的金属疲劳问题

1.2024-2027，国家自然科学基金面上项目，基于符号回归算法的多轴疲劳寿命预测方法研究。

2.2020-2023,国家自然科学基金面上项目，增材制造材料多轴疲劳损伤分析及实验测试。

3.2019-2022,上海市自然科学基金面上项目，增材制造Ti-6Al-4V多轴疲劳载荷下寿命预测与实验研究。

4.2019-2020，上海电气电站设备有限公司合作项目，基于AI算法的超临界汽轮机部件寿命在线预测算法。

5.2019-2020，浙江大学合作项目，焊接件残余应力模拟与寿命评估。

6.2017-2018，圣戈班研发（上海）有限公司合作项目，磨削盘材料承载力研究及开发。

7.2014-2016，国家自然科学基金青年基金项目，基于小裂纹理论的多轴疲劳荷载下金属裂纹扩展行为分析。

8. 2014-2016，教育部高等学校博士学科点专项科研基金，多轴荷载下金属材料疲劳小裂纹扩展问题研究。

(1)  Lei Gan, Hao Wu, ZhengZhong. Estimation of remaining fatigue life with an energy- based model considering the effects of loading sequence and load interaction. International journal of damage mechanism. 2022, doi.org/10.1177/10567895221120286.

(2)  Lei Gan, Hao Wu, ZhengZhong. Fatigue life prediction in presence of mean stresses using domain knowledge-integrated ensemble of extreme learning machines. Fatigue &Fracture of Engineering Materials &Structures. 2022, 45 (9): 2748-2766.

(3)   刘志状,吴昊.一种基于参数影响的数据驱动下的疲劳寿命预测方法. 机械工程学报, 2022, 58: 1-9.

(4)  Lei Gan, Hao Wu, ZhengZhong. Fatigue life prediction considering mean stress effect based on randomforests and kernel extreme learning machine. International Journal of Fatigue.2022, 158: 106761.

(5)   Lei Gan, Hao Wu, ZhengZhong. On the use of data-driven machine learning for remaining life estimation of metallic materials based on Ye-Wang damage theory. International Journal of Fatigue. 2022, 156:106666.

(6)  Xiang Zhao, Dongheng Ru, Peng Wang, Lei Gan, Hao Wu, ZhengZhong. Fatigue life prediction of a supercritical steam turbine rotor based on neural networks.Engineering failure analysis,2021, 127:105435.

(7) Lei Gan, Xiang Zhao, Hao Wu, Zheng Zhong, Estimation of remaining fatigue life under two-step loading based on kernel-extreme learning machine, International Journal ofFatigue,2021,148,106190.

(8) Lei Gan, Hao Wu, Zheng Zhong, Multiaxial fatigue life prediction based on a simplified energy-based model, International Journal of Fatigue, 2021,144:106036.

(9)   杨超, 吴昊, 316L 不锈钢随动强化模型改进研究.固体力学学报, 2021,42(5): 518- 531.

(10)   赵翔, 茹东恒, 王鹏, 吴昊,  甘磊,  仲政. 基于 NARX  神经网络方法的汽轮机转子关键部位应力预测. 应用数学和力学, 2021, 42(8):14.

(11)    甘磊，吴昊，仲政.  基于应变的 316L 不锈钢低周疲劳寿命预测方法.机械强度，2020, 42(2): 313-318.

(12)   甘磊, 吴昊, 仲政. 基于能量法的多轴疲劳寿命预测方法. 固体力学学报, 2019,40(3): 260-268.

(13)  Haipeng Zhu, Hao Wu, Yingya Lu, Zheng Zhong, A novelenergy-based equivalent damage parameter for multiaxial fatiguelife prediction, International Journal of Fatigue,2019,121: 1-8.

(14) Lei Gan, Hao Wu, Zheng Zhong, Use of an energy-based/critical plane model to assess fatigue life under low-cycle multiaxial cycles, Fatigue & Fracture of Engineering Materials &Structures, 2019, 42(12)：2694-2708.

(15)  Yingya Lu, Hao Wu, Zheng Zhong, A modified energy-based model for low-cycle fatigue life prediction under multiaxial irregular loading, International Journal of Fatigue, 2019, 128: 105187.

(16)  Hao Wu, An empirical non-proportional cyclic plasticity approach under multiaxial low-cycle fatigue loading, International Journal of Mechanical Sciences,2018,142-143: 66- 73.

(17) Yingya Lu, Hao Wu, Zheng Zhong, A simple energy-based model for nonproportional low-cycle multiaxial fatigue life prediction under constant-amplitude loading, Fatigue and Fracture of Engineering Materials and Structures, 2018, 41 (6): 1402-1411.

(18)  Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, HaoWu, Non-linear incremental fatigue damage calculation for multiaxial non-proportional histories, InternationalJournal of Fatigue, 2017,100: 502-511.

(19)  Hao Wu, Zheng Zhong， A novel nonlinear kinematic hardening model for uniaxial/ multiaxial ratcheting and mean stress relaxation, ASTM Special Technical Publication, 2017, 1598:227-245.

(20)  Hao Wu, Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Validation of the Multiaxial, Racetrack Amplitude Filter, International Journal of Fatigue, 2016, 87: 167- 179.

(21) Hao Wu, Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, ComputationalImplementation of a Non-Linear Kinematic Hardening Formulation for Tension-Torsion Multiaxial FatigueCalculations, International Journal of Fatigue, 2016, 91: 304-312.

(22) Hao Wu， Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Application of the Moment OfInertia method to the Critical-Plane Approach, Frattura Ed IntegritaStrutturale, 2016, 38: 99-105.