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