赵拥军 - 复旦大学 - 航空航天系

个人简介

教育经历 1997年7月，北京航空航天大学，获航空发动机学士学位 2000年3月，北京航空航天大学，获航空宇航推进理论与工程硕士学位 2005年5月，佐治亚理工学院（Georgia Institute of Technology），获航空工程博士学位工作经历 2005年6月 - 2020年2月，通用电气公司（GE Company） 2020年3月 - 至今，复旦大学

研究领域

本课题组面向国家重大需求，以传统数理为基础，融合大数据、人工智能等新兴交叉学科，研究解决航空发动机等关键高端装备的数字孪生、系统设计、智能运维与健康管理等领域的前沿科学与工程技术问题。主要研究方向包括：高端装备数字孪生、故障诊断、智能运维与健康管理航空发动机及燃气轮机全生命周期总体性能仿真与设计优化复杂系统多层级仿真、设计与优化新型绿色能源动力技术等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

A Novel Digital Twin Framework for Aeroengine Performance Diagnosis[J]. Aerospace, 2023,10(9), 789 Engine gas path component fault diagnosis based on a sparse deep stacking network[J]. Heliyon, 2023, 9(1), e19252 Data-Driven Exhaust Gas Temperature Baseline Predictions for Aeroengine Based on Machine Learning Algorithms[J]. Aerospace, 2023, 10(1), 17 Probability-based service safety life prediction approach of raw and treated turbine blades regarding combined cycle fatigue[J]. Aerospace Science and Technology, 2021, 110: 106513. Probabilistic analyses of structural dynamic response with modified Kriging-based moving extremum framework[J]. Engineering Failure Analysis, 2021, 125:105398. Competitive cracking behavior and microscopic mechanism of Ni-based superalloy blade respecting accelerated CCF failure[J]. International Journal of Fatigue，2021，150：106306. Enhanced network learning model with intelligent operator for the motion reliability evaluation of flexible mechanism[J]. Aerospace Science and Technology, 2020, 107: 106342. Transient reliability evaluation approach of flexible mechanism with GA-extremum neural network[J]. Mathematical Problems in Engineering, 2020: 6661712. Structural dynamic reliability estimation with enhanced extremum Kriging method[C]. 2020 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2020), October 8th-11th, 2020, Xi’an, Shaanxi, China. A sequential approach for gas turbine power plant preventive maintenance scheduling[J], Journal of Engineering for Gas Turbine and Power. 128, n.4, 2006: 796-805. A profit based approach for gas turbine power plant outage planning[J]. Journal of Engineering for Gas Turbine and Power, 128, n.4, 2006: 806-814. An integrated framework for gas turbine power plant operational modeling and optimization[C]. Proceedings of GT2005, ASME Turbo Expo 2005: Power for Land, Sea and Air, June 6-9, 2005, Reno-Tahoe, Nevada. Power plant systems operational scheduling using a dual-time scale[C]. 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2004, Albany, New York. Modeling and cost optimization of combined cycle heat recovery generator systems[C]. Proceedings of ASME Turbo Expo 2003, Power of Land, Sea, and Air, June 16-19, 2003, Atlanta, Georgia. 超/跨音风扇气动设计体系有关流动模型改进探讨[J]. 航空动力学报, 第14卷第1期，1999年1月

学术兼职

科技部评审专家教育部评审专家上海市科学技术奖会评专家上海市航空学会空气动力学专业委员会委员上海市航空学会航空机械工程专业委员会委员上海市航空学会技术经济专业委员会委员上海市航空发动机数字孪生重点实验室外部专家等