Qingsong Xiong
- Fusing physics-based and machine learning models for rapid ground-motion-adaptative probabilistic seismic fragility assessment. Dans: Journal of Building Engineering, v. 87 (juin 2024). (2024):
- Physics-informed deep 1D CNN compiled in extended state space fusion for seismic response modeling. Dans: Computers & Structures, v. 291 (janvier 2024). (2024):
- Non-destructive sensing data-driven hysteretic behavior prediction of CLT joints based on recurrent neural networks. Dans: Structures, v. 56 (octobre 2023). (2023):
- Field vibration evaluation and dynamics estimation of a super high-rise building under typhoon conditions: data-model dual driven. Dans: Journal of Civil Structural Health Monitoring, v. 13, n. 1 (octobre 2022). (2022):
- Deep HystereticNet to predict hysteretic performance of RC columns against cyclic loading. Dans: Engineering Structures, v. 273 (décembre 2022). (2022):
- Machine learning-driven seismic failure mode identification of reinforced concrete shear walls based on PCA feature extraction. Dans: Structures, v. 44 (octobre 2022). (2022):