Hoang D. Nguyen
- (2024): An integrated machine-learning platform for assessing various dynamic responses of steel beams. In: Structures, v. 61 (March 2024).
- : Rapid damage state classification for underground box tunnels using machine learning. In: Structure and Infrastructure Engineering.
- (2023): Optimal intensity measures for probabilistic seismic demand models of steel moment frames. In: Journal of Building Engineering, v. 65 (April 2023).
- (2022): Machine learning-based prediction for maximum displacement of seismic isolation systems. In: Journal of Building Engineering, v. 51 (July 2022).
- (2022): Machine learning models for predicting maximum displacement of triple pendulum isolation systems. In: Structures, v. 36 (February 2022).
- (2022): Rapid seismic damage-state assessment of steel moment frames using machine learning. In: Engineering Structures, v. 252 (February 2022).
- (2021): Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting. In: Engineering Structures, v. 242 (September 2021).
- (2021): Effects of soil–structure interaction on seismic performance of a low-rise R/C moment frame considering material uncertainties. In: Journal of Building Engineering, v. 44 (December 2021).
- (2021): Development of extreme gradient boosting model for prediction of punching shear resistance of r/c interior slabs. In: Engineering Structures, v. 235 (May 2021).
- (2020): Reliability assessment of a planar steel frame subjected to earthquakes in case of an implicit limit-state function. In: Journal of Building Engineering, v. 32 (November 2020).
Structurae cooperates with
