- Analysis of the characteristics of progressive erosion and the formation mechanism of debris flow inrush: Numerical simulation and its application. Dans: Tunnelling and Underground Space Technology, v. 155 (janvier 2025). (2025):
- Maximizing the circularity of asphalt pavements by improving the RAP content in recycled asphalt mixtures. Dans: Construction and Building Materials, v. 438 (août 2024). (2024):
- Experimental study on the parallel-flow heat pipe heat exchanger for energy saving in air conditioning. Dans: Journal of Building Engineering, v. 75 (septembre 2023). (2023):
- Efficient Bayesian metamodeling for fine-grained and robust fragility analysis of buildings at a regional scale. Dans: Structural Safety, v. 102 (mai 2023). (2023):
- Developing a novel hybrid model for seismic loss prediction of regional-scale buildings. Dans: Bulletin of Earthquake Engineering, v. 20, n. 11 (juin 2022). (2022):
- Timeliness of Creep Deformation in the Whole Visco-Elasto-Plastic Process of Surrounding Rocks of the Tunnel. Dans: Geotechnical and Geological Engineering, v. 37, n. 2 (16 août 2018). (2018):
- Geo-stress Characteristics of Schist of Erdaoya Tunnel and Physical Properties of Rock Masses. Dans: Geotechnical and Geological Engineering, v. 35, n. 5 (28 avril 2017). (2017):
- Optimization of the Construction Technology of Shallow-Buried Tunnel Entrance Constructed in Residual Slope Accumulation of Gravelly Soil. Dans: Geotechnical and Geological Engineering, v. 36, n. 4 (9 février 2018). (2018):
- Analysis on factors affecting the cooling effect of optical shielding in pavement coatings. Dans: Building and Environment, v. 211 (mars 2022). (2022):
- A stick-slip piezoelectric actuator of suppression backward motion achieved by active locking mechanism (ALM). Dans: Smart Materials and Structures, v. 30, n. 9 (30 juillet 2021). (2021):
- Regional seismic damage analysis considering soil–structure cluster interaction using lumped parameter models: a case study of Sichuan University Wangjiang Campus buildings. Dans: Bulletin of Earthquake Engineering, v. 19, n. 11 (juin 2021). (2021):
- Convolutional neural networks: Computer vision-based workforce activity assessment in construction. Dans: Automation in Construction, v. 94 (octobre 2018). (2018):