代表性论文: [1] Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks[J]. Automation in Construction, 2022, 133: 104044. (SCI: 10.3) [2] GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-20. (SCI: 8.2) [3] Defects segmentation: Mapping the tunnel lining internal defects with the Ground Penetrating Radar data using convolutional neural network[J]. Construction and building materials, 2022, 319:125658. (SCI: 7.4) [4] An Unsupervised Clustering-Based Sectionalized Displacement Reconstruction Method for Smart Geogrids Integrated with Fiber Bragg Grating Sensors[J]. Construction and Building Materials, 2021, 286(1): 122924. (SCI: 7.693) [5] Unsupervised deep learning-based ground penetrating radar image translation for internal defects recognition of underground engineering structures[J]. Structural Health Monitoring-An International Journal, 2023. (SCI: 6.6) [6] Unsupervised Learning Method for Rebar Signal Suppression and Defect Signal Reconstruction and Detection in Ground Penetrating Radar Images[J]. Measurement, 2023, 211: 112652. (SCI: 5.6) [7] Deep Neural Network-Based Permittivity Inversions for Ground Penetrating Radar Data[J]. IEEE Sensors Journal, 2021, 21(6): 8172-8183. (SCI: 4.325) [8] Automatic Recognition of Highway Tunnel Defects Based on an Improved U-Net Model[J]. IEEE Sensors Journal, 2019, 19(23): 11413-11423. (SCI: 3.301) [9] First Arrival Picking on Microseismic Signals Based on K-Means with a ReliefF Algorithm[J]. SYMMETRY-BASEL, 2021, 13(5): 790. (SCI: 2.94) [10] Low-Cost Plate-Type MOEMS Uniaxial Vibration Sensor Based on Metal Etching and Fiber Collimator Technique[J]. IEEE Sensors Journal, 2016, 16(12): 4816-4821. (SCI: 2.512) 代表性著作: [1]国家标准:钻孔和基础施工设备安全要求 第1部分:通用要求[S].(起草人) [2]国家标准:钻孔和基础施工设备安全要求 第3部分:桩和其他基础施工设备[S].(起草人) [3]国家标准:道路施工与养护机械设备 沥青混合料搅拌设备[S].(起草人) [4]国家标准:道路施工与养护机械设备 沥青混凝土摊铺机[S].(起草人) [5]团体标准:岩土工程模型试验光纤光栅测试技术规程[S].(起草人) [6]团体标准:隧道衬砌质量无损检测技术规程[S].(起草人) [7]团体标准:隧道病害快速调查与评价技术规程[S].(起草人) [8]团体标准:基于北斗的城市地质灾害和基础设施结构安全监测技术规范[S].(起草人) |