职称：讲师/硕士生导师

地址：金年会官方网站入口（兰工坪）综合楼

邮编：730050

E-mail：qug@lut.edu.cn

研究领域：桥梁结构健康监测、结构异常识别、深度学习

教育经历

2020.09-2024.09：同济大学，金年会金字招牌诚信至上，博士，导师：孙利民，副导师：宋明明。

2016.09-2019.06：兰州大学，土木工程与力学公司，硕士。

2011.09-2015.06：沈阳建筑大学，金年会金字招牌诚信至上，本科。

工作履历

2025.04-至今：金年会jinnian，硕导。

2024.10-至今：金年会jinnian，讲师。

2019.6-2019.12：甘肃省交通规划勘察设计院，工程师。

科研项目

1.国家自然科学基金面上项目，基于混合监测的桥梁数字化建模，2024.1-2027.12，参与。

2.国家自然科学基金面上项目，基于多源残错数据的桥梁网级评估方法，2023.1-2026.12，参与。

教学工作

课程教学

硕士生理论课程：结构健康监测与运维

本科生实践教学：认识实习；生产实习；毕业实习及毕业设计

学术成果

学术论文（一作/通讯）：

[1]Qu G, Sun L, Huang H. Bridge Performance Prediction Based on a Novel SHM‐Data Assimilation Approach considering Cyclicity[J]. Structural Control and Health Monitoring, 2023(1): 2259575.

[2]Qu G, Song M, Xin G, et al. Time-convolutional network with joint time-frequency domain loss based on arithmetic optimization algorithm for dynamic response reconstruction[J]. Engineering Structures, 2024, 321: 119001.

[3]Qu G, Song M, Xia Y, Sun L. Bridge Girder‐End Displacement Reconstruction Using a Novel Hybrid Attention Mechanism Leveraging Multisource Information. Structural Control and Health Monitoring 2025(1): 8249455.

[4]Qu G, Sun L. Performance prediction for steel bridges using SHM data and Bayesian dynamic regression linear model: A novel approach[J]. Journal of Bridge Engineering, 2024, 29(7): 04024044.

[5]Qu G, Song M, Sun L. Real-time bridge deflection prediction based on a novel Bayesian dynamic difference model and nonstationary data[J]. Journal of Bridge Engineering, 2024, 29(9): 04024064.

[6]Qu G, Xia Y, Sun L, et al. Behavior Expectation‐Based Anomaly Detection in Bridge Deflection Using AOA‐BiLSTM‐TPA: Considering Temperature and Traffic‐Induced Temporal Patterns[J]. Structural Control and Health Monitoring, 2024(1): 2337057.

[7]Qu G, Song M, Sun L. Bayesian dynamic noise model for online bridge deflection prediction considering stochastic modeling error[J]. Journal of Civil Structural Health Monitoring, 2024: 1-18.

[8]Qu G, Song M, Sun L. Bridge deformation quantiles prediction with MVO-CNN-BiLSTM based on mixed attention mechanism and periodic multi-source information fusion[J]. Journal of Civil Structural Health Monitoring, 2024: 1-22.

[9]Lu X,Qu G*, Sun L, et al. Physically Guided Estimation of Vehicle Loading-Induced Low-Frequency Bridge Responses with BP-ANN[J]. Buildings, 2024, 14(9): 2995.

[10]Qu G, Sun L. Bridge Performance Prediction Approach Based on Improved Particle Filter and Structural Health Monitoring Data[C]//IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, China, IABSE Congress, 2022: 1329-1337.

[11]屈广,孙利民,辛公锋.基于LSTM-SSA-BDLM的桥梁结构变形性能动态预测与预警[J].同济大学学报(自然科学版), 2025, 53(01): 26-34.