- 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 (June 2023). (2023):
- 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 (January 2022). (2022):
- Railway ballast damage detection by Markov chain Monte Carlo-based Bayesian method. In: Structural Health Monitoring, v. 17, n. 3 (April 2017). (2017):
- 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). (2018):
- Damage identification using time series analysis and sparse regularization. In: Structural Control and Health Monitoring, v. 27, n. 9 (June 2020). (2020):
- Uncertainty Quantification of Load Effects under Stochastic Traffic Flows. In: International Journal of Structural Stability and Dynamics, v. 19, n. 1 (December 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 (March 2018). (2018):