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个人简介

教育经历 2003.9-2010.1法国里尔一大力学实验中心(LML-CNRS)本硕博连读 2011.2-2014.11 同济大学航空航天与力学学院 讲师 2014.12 - 至今 同济大学航空航天与力学学院 副教授 近年来主持科研项目 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,在研 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,在研 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,在研 2019-2020,浙江大学合作项目,焊接件残余应力模拟与寿命评估,在研 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,结题 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,结题 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,结题 科研奖励及学术兼职 2019年江苏省“双创计划”“双创团队”核心成员 2018年上海市力学学会优秀青年学者 国际期刊《Current Mechanics & Advance Materials》编委

研究领域

多轴疲劳力学性能研究 多轴随机荷载分析 疲劳不扩展小裂纹特性研究 多轴疲劳实验操作 神经网络模型在多轴疲劳问题中的应用

近期论文

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Yingya Lu, Wu Hao, Zhong Zheng, A modified energy-based model for low-cycle fatigue life prediction under multiaxial irregular loading, International Journal of Fatigue, 2019, DOI: 10.1016/j.ijfatigue.2019.105187. 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, DOI: 10.1111/ffe.13090. Haipeng Zhu, Hao Wu, Yingya Lu, Zheng Zhong, A novel energy-based equivalent damage parameter for multiaxial fatigue life prediction, International Journal of Fatigue, 2019, 121: 1-8. 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. 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. Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu, Non-linear incremental fatigue damage calculation for multiaxial non-proportional histories, International Journal of Fatigue, 2017,100: 502-511. 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. Hao Wu, Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Computational Implementation of a Non-Linear Kinematic Hardening Formulation for Tension-Torsion Multiaxial Fatigue Calculations, International Journal of Fatigue, 2016, 91: 304-312. Hao Wu, Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Application of the Moment Of Inertia method to the Critical-Plane Approach, Frattura Ed Integrita Strutturale, 2016, 38: 99-105. 吴昊, 仲政, 金属材料多轴非比例低周疲劳寿命预测概述, 力学季刊, 2016, 37(02): 201-213. Marco Antonio Meggiolaro, Hao Wu, Jaime Tupiassú Pinho de Castro, Non-proportional hardening models for predicting mean and peak stress evolution in multiaxial fatigue using Tanaka's incremental plasticity concepts, International Journal of Fatigue, 2016, 87: 167-179. Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu, On the use of tensor paths to estimate the nonproportionality factor of multiaxial stress or strain histories under free-surface conditions, Acta Mechanica, 2016,227 (11): 3087-3100. Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu, Generalization of the moment of inertia method to estimate equivalent amplitudes for simplifying the analysis of arbitrary non-proportional multiaxial stress or strain histories, Acta Mechanica, 2016,227 (11): 3261-3273. Keke Tang, Filippo Berto, Hao Wu, Fatigue crack growth in the micro to large scale of 7075-T6 Al sheets at different R ratios, Theoretical and Applied Fracture Mechanics, 2016, 83: 93-104. Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu, A general class of non-linear kinematic models to predict mean stress relaxation and multiaxial ratcheting in fatigue problems - Part I: Ilyushin spaces, International Journal of Fatigue, 2016,82(2): 158-166. Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu, A general class of non-linear kinematic models to predict mean stress relaxation and multiaxial ratcheting in fatigue problems - Part II: Generalized surface translation rule, International Journal of Fatigue, 2016,82(2): 167-178.

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