Qin Hu 
- (2023): Bayesian damage identification of an unsymmetrical frame structure with an improved PSO algorithm. In: Structures, v. 57 (November 2023).
- (2023): CA mortar void identification for slab track utilizing time-domain Markov chain Monte Carlo-based Bayesian approach. In: Structural Health Monitoring, v. 22, n. 6 (April 2023).
- (2023): Fastener partial looseness identification of the ballastless track by a time-domain Bayesian approach. In: Advances in Structural Engineering, v. 26, n. 10 (Juni 2023).
- (2022): On the selection of the most plausible non-linear axial stress–strain model for railway ballast under different impulse magnitudes. In: Structural Health Monitoring, v. 21, n. 4 (Januar 2022).
- (2017): Railway ballast damage detection by Markov chain Monte Carlo-based Bayesian method. In: Structural Health Monitoring, v. 17, n. 3 (April 2017).
- (2018): Multi-rate data fusion for dynamic displacement measurement of beam-like supertall structures using acceleration and strain sensors. In: Structural Health Monitoring, v. 19, n. 2 (September 2018).
- (2020): Damage identification using time series analysis and sparse regularization. In: Structural Control and Health Monitoring, v. 27, n. 9 (Juni 2020).
- (2018): Uncertainty Quantification of Load Effects under Stochastic Traffic Flows. In: International Journal of Structural Stability and Dynamics, v. 19, n. 1 (Dezember 2018).
- (2018): Numerical and field experimental investigation of wind turbine dynamic de-icing process. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 175 (April 2018).
- (2018): Numerical and experimental investigation of threshold de-icing heat flux of wind turbine. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 174 (März 2018).
Structurae kooperiert mit
