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范高

发布日期:2021-06-07   浏览量:

职称:讲师

学位:博士

研究领域:结构健康监测;深度学习

办公地点:广州市番禺区大学城外环西路230号广州大学行政东楼506室

办公电话:18567796878

电子邮箱:gao.fan@gzhu.edu.cn



个人简介

广州大学防护工程研究中心特聘讲师,2020年博士毕业于澳大利亚科廷大学。主要从事深度学习技术在结构健康监测领域的理论与应用研究,在自动化模态识别,结构振动响应重构、降噪,结构损伤识别等领域取得了一定研究成果与突破。已发表学术论文9篇,含第一作者SCI期刊论文5篇,均属Web of Science JCR 1区。



教育背景

2012.2-2016.1,澳大利亚科廷大学,土木与建筑工程,学士;

2016.11-2020.9,澳大利亚科廷大学,土木工程,博士。



职业经历

2020.11-至今,广州大学,防护研究中心,讲师。


科研服务

参与澳大利亚优秀青年基金项目:Development of a Self-powered Wireless Sensor Network from Renewable Energy for Integrated Structural Health Monitoring and Diagnosis。



研究成果

1.获奖及荣誉

博士学位论文荣获澳大利亚科廷大学2020优秀博士论文(Chancellor’s Commendation);

获2016-2020澳大利亚科廷大学国际博士研究生奖学金(Curtin International Postgraduate Research Scholarship (CIPRS)。

2.近期发表的期刊文章

[1]Gao Fan; Jun Li*; Hong Hao; Improved automated operational modal identification of structures based on clustering, Structural Control and Health Monitoring, 2019, 26(12): e2450 (SCI收录,JCR 1区,IF=3.499).

[2] Gao Fan; Jun Li*; Hong Hao; Lost data recovery for structural health monitoring based on convolutional neural networks, Structural Control and Health Monitoring, 2019, 26(10): e2433 (SCI收录,JCR 1区,IF=3.499).

[3]Gao Fan; Jun Li; Hong Hao*; Vibration signal denoising for structural health monitoring by residual convolutional neural networks, Measurement, 2020, 157: 107651 (SCI收录,JCR 1区,IF=3.364).

[4]Gao Fan; Jun Li*; Hong Hao; Yu Xin; Data driven structural dynamic response reconstruction using segment based generative adversarial networks, Engineering Structures, 2021, 234: 111970 (SCI收录,JCR 1区,IF=3.58).

[5]Gao Fan; Jun Li*; Hong Hao; Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks, Structural Health Monitoring, Online, https://doi.org/10.1177/1475921720916881 (SCI收录,JCR 1区,IF=4.87).

[6] Li, Jun. *, Hao, Hong.,Fan, Gao., et al.; Numerical and experimental verifications on damping identification with model updating and vibration monitoring data. Smart Structures and Systems, 2017, 20(2), 127-137 (SCI收录,JCR 1区,IF=3.557).



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