Haonan Qi
- Modification of HFACS model for path identification of causal factors of collapse accidents in the construction industry. In: Engineering, Construction and Architectural Management. :
- Predicting asphalt mixture fatigue life via four-point bending tests based on viscoelastic continuum damage mechanics. In: Case Studies in Construction Materials, v. 19 (Dezember 2023). (2023):
- Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches. In: Journal of Management in Engineering (ASCE), v. 40, n. 1 (Januar 2024). (2024):
- Accident pattern recognition in subway construction for the provision of customized safety measures. In: Tunnelling and Underground Space Technology, v. 137 (Juli 2023). (2023):
- Mitigating subway construction collapse risk using Bayesian network modeling. In: Automation in Construction, v. 143 (November 2022). (2022):
- Data-driven determination of collapse accident patterns for the mitigation of safety risks at metro construction sites. In: Tunnelling and Underground Space Technology, v. 127 (September 2022). (2022):
- Estimating the effect of coarse aggregate meso-structure on the thermal contraction of asphalt mixture by a hierarchical prediction approach. In: Construction and Building Materials, v. 342 (August 2022). (2022):