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个人信息Personal Information
副教授
硕士生导师
主要任职:Associate Professor
性别:男
出生日期:1989-06-30
毕业院校:挪威科技大学
学位:博士
所在单位:水利工程系
学科:防灾减灾工程及防护工程. 水工结构工程. 港口、海岸及近海工程. 船舶与海洋结构物设计制造. 模式识别与智能系统
电子邮箱:xu.han@dlut.edu.cn
个人简介Personal Profile
韩旭,大连理工大学建设工程学院水利工程系副教授,挪威科技大学海洋技术专业博士,十余年海外留学、工程、研发工作经历,曾任挪威船级社工程师、4Subsea高级数据科学家。围绕海上风电光伏等新能源开发、油气开发、水产养殖以及融合开发等资源能源的综合利用,从事海洋工程结构分析、关键装备设计与安全评价、服役期智能监测、智慧安装运维决策、人工智能方法研究与智能系统开发等工作。同时具有多年海洋工程结构分析、智能算法开发、商用结构分析软件开发、工程设计审核、产品认证等工程和企业研发实践经验,撰写柔性结构海上安装国际行业工程技术指南。近五年发表论文20余篇,授权专利14项,行业权威期刊Marine Structures、Ocean Engineering、Mechanical System and Signal Processing和Journal of Cleaner Production审稿人。指导学生获得国家奖学金、辽宁省优秀毕业生、大连理工大学研究生就业榜样等荣誉。
主要在研项目方向:
1. 海上风电与海洋工程结构监测、检测与数字孪生
2. 海上风电结构风险识别、安全评价与预警方法
3. 海上智能作业技术与系统开发
4. 海洋与土木工程智慧监测与运维
5. 海上能源资源综合利用
诚挚邀请有船舶与海洋工程、港口海岸和近海工程、水利工程、土木工程、力学等相关专业背景的同学报考硕士研究生,欢迎对新能源开发、数智化技术或海洋工程方向感兴趣的同学加入课题组。有缘相会,共同努力,共走一段人生路!
欢迎报考工程抗震研究所(建设工程学院)硕士研究生:水利工程(085902)、水工结构工程(081503)、防灾减灾工程及防护工程(081405)、土木工程(085901)
科研项目(至2025年03月):
[1] 工信部高技术质量发展专项, 2024年深远海漂浮式风电机组关键装备项目,2024-2026.
[2] 国家科技部重点研发计划, 大功率海上漂浮式垂直轴风电机组关键技术与装备研发 - 海上漂浮式垂直轴风电机组样机研制、安装和测试验证技术, 2024-2027.
[3] 国家科技部重点研发计划, 10兆瓦级深远海漂浮式风电机组关键技术与装备-漂浮式风电系统数值-物理混合模型试验技术课题, 2022-2026.
[4] 研究院项目, 海洋可再生能源全生命期智慧开发, 2023-2026.
[5] 校企合作, 漂浮式风电平台缩尺模型制作及实验, 2025-2026.
[6] 中央高校基本科研业务, 海上新能源开发装备结构分析与智能作业, 2022-2024.
[7] 校企合作, 多能互补式海上浮式发电装备水池试验项, 2024.
[8] 校企合作, 海上风电场运维期结构安全评价研究, 2021-2024.
[9] 校企合作, 管式漂浮光伏方案数值分析与技术咨询, 2024.
[10] 校企合作, xx浮式风机缩比水池试验, 2022.
主要成果(至2025年03月):
【论文】
Fu J, Han X*, Shi W*, Karimirad M, Li X. Real-time hybrid model tank testing for aero-hydro-servo-elastic assessment of a monopile offshore wind turbine, Applied Ocean Research, 2024: 104304.
Zhang C, Han X*, Li C, Leira BJ, Sævik S, Lu D, Shi W, Li X. Modal Parameter Identification of Jacket-Type Offshore Wind Turbines Under Operating Conditions. Journal of Marine Science and Engineering, 2024,12(11): 2083.
Han F; Wang W*; Zheng X; Han X; Shi W; Li X* ; Investigation of essential parameters for the design of offshore wind turbine based on structural reliability, Reliability Engineering & System Safety, 2024, 110601.
Fu J, Shi W*, Han X, Karimirad M, Wang T, Li X. Development and performance study of a multi-degree-of-freedom loading device for real-time hybrid model testing of floating offshore wind turbines. Marine Structures 2025, 99: 103717.
Shi W, Yan C, Ren Z, Yuan Z, Liu Y, Zheng S, Li X, Han X*. Review on the development of marine floating photovoltaic systems, Ocean Engineering, 2023, 286: 115560.
Radhakrishnan G*, Han X, Leira B J, Gao Z, Sævik S. Calibration of high-fidelity hydrodynamic models utilizing on-site vessel response measurements, Ocean Engineering, 2023, 278: 114076.
Yan C, Shi W*, Han X, Li X, Verma A S. Assessing the dynamic behavior of multiconnected offshore floating photovoltaic systems under combined wave-wind loads: A comprehensive numerical analysis, Sustainable Horizons, 2023, 8: 100072.
Li N, Shi W, Han X, Li X, Verma A S, Liu C. Dynamic analysis of an integrated offshore structure comprising a jacket-supported offshore wind turbine and aquaculture steel cage, Ocean Engineering, 2023, 274: 114059. (SCI, 1区, IF=4.372)
Zhou Y, Feng S, Guo X, Tian F, Han X*, Shi W, Li X*. Initial design of a novel barge-type floating offshore wind turbine in shallow water, Journal of Marine Science and Engineering, 2023, 11(3): 464 (SCI, 1区, IF=2.744)
Ren Z, Han X, Yu X*, Skjetne R, Leira B J, Sævik S, Zhu M. Data-driven simultaneous identification of the 6DOF dynamic model and wave load for a ship in waves. Mechanical Systems and Signal Processing, 2023, 184: 109422. (SCI, 1区, IF=8.934, 高被引, 热点)
Radhakrishnan G, Leira B J, Gao Z, Sævik S, Han X. Analyzing the sensitivity of wave frequency responses of floating vessels to uncertain system variables utilizing Polynomial Chaos Expansion, Journal of Offshore Mechanics and Arctic Engineering, 2023.
Han X*, Leira B J, Sævik S. Vessel hydrodynamic model tuning by discrete Bayesian updating using simulated onboard sensor data. Ocean Engineering, 2021, 220: 108407. (SCI, 1区, IF=4.372)
Han X*, Leira B J, Sævik S, Ren Z. Onboard tuning of vessel seakeeping model parameters and sea state characteristics. Marine Structures, 2021, 78: 102998. (SCI, 1区, IF=4.5)
Han X*, Leira B J, Sævik S, Kaasen K E. Validation of vessel seakeeping model tuning algorithm based on measurements at model scale. Marine Structures, 2021, 80: 103083. (SCI, 1区, IF=4.5)
Han X*, Sævik S, Leira B J. Tuning of vessel parameters including sea state dependent roll damping. Ocean Engineering, 2021, 233: 109084. (SCI, 1区, IF=4.372)
Han X*, Ren Z, Leira B J, Sævik S. Adaptive identification of lowpass filter cutoff frequency for online vessel model tuning. Ocean Engineering, 2021, 236: 109483. (SCI, 1区, IF=4.372)
Ren Z*, Han X, Verma A S, Dirdal J A, Skjetne R. Sea state estimation based on vessel motion responses: Improved smoothness and robustness using Bézier surface and L1 optimization. Marine Structures, 2021, 76: 102904. (SCI, 1区, IF=4.5)
Han X*, Leira B J, Sævik S, Radhakrishnan G, Skjong S, Kyllingstad L T. A framework for condition monitoring and risk-based decision support involving a vessel state observer. Proceedings of the ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering, Virtual, Online, 2021.
Radhakrishnan G*, Han X, Sævik S, Gao Z, Leira B J. System Uncertainty effects on the wave frequency response of floating vessels based on polynomial chaos expansion. Proceedings of the ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering, Virtual, Online, 2021.
Han X*, Sævik S, Leira B J. A sensitivity study of vessel hydrodynamic model parameters. Proceedings of the ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, Virtual, Online, 2020.
Caruso M, Han X, Sødahl N. Consistent free span VIV fatigue analysis of flexibles, Proceedings of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, Trondheim, Norway, 2017.
【国际行业技术指南】
技术指南“Limiting weather criteria during installation”共同作者. DNV, 2016. (研究成果于写入国际规范DNVGL-ST-F101,服务全球近70%海底管道)
【智能系统开发】
4Insight Marine Operations海上作业智能决策支持系统算法开发,主持研发项目2项,应用于Subsea7安装船队:
- Rigid body transformation of acceleration measurements from IMU sensors, 2022
- Prediction of wave-induced vessel response using a machine learning based approach, 2022