- Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM. Dans: Structural Health Monitoring, v. 23, n. 4 (novembre 2023). (2023):
- CDMTNet: a novel transfer learning model for the loosening detection of mechanical structures with threaded fasteners. Dans: Structural Health Monitoring, v. 22, n. 6 (avril 2023). (2023):
- A unified trans-scale mechanical properties prediction method of 3D composites with void defects. Dans: Composite Structures, v. 306 (février 2023). (2023):
- Invention of smart tightening tool for directly controlling the preload of bolted joints. Dans: Smart Materials and Structures, v. 32, n. 2 (décembre 2022). (2022):
- Assessment of the bio-cementation effect on shale soil using ultrasound measurement. Dans: Soils and Foundations, v. 63, n. 1 (février 2023). (2023):
- Detection of loosening angle for mark bolted joints with computer vision and geometric imaging. Dans: Automation in Construction, v. 142 (octobre 2022). (2022):
- Quantitative loosening detection of threaded fasteners using vision-based deep learning and geometric imaging theory. Dans: Automation in Construction, v. 133 (janvier 2022). (2022):
- (2021): Study on the Influence of In Situ Stress Distribution on the Stability of Roadway Surrounding Rock. Dans: Advances in Civil Engineering, v. 2021 (janvier 2021).
- Experimental study on fatigue crack growth of QSTE420TM steel with a single dwell-overload and a combined prediction model. Dans: Journal of Constructional Steel Research, v. 182 (juillet 2021). (2021):
- Research progress on CNTs/CNFs-modified cement-based composites – A review. Dans: Construction and Building Materials, v. 202 (mars 2019). (2019):