- Evaluating fire resistance of timber columns using explainable machine learning models. Dans: Engineering Structures, v. 296 (décembre 2023). (2023):
- Evaluating the impact of higher-mode and inelastic dynamic responses of concrete frames on the performance of seismic intensity measures. Dans: Structures, v. 56 (octobre 2023). (2023):
- Do all roads lead to Rome? A comparison of knowledge-based, data-driven, and physics-based surrogate models for performance-based early design. Dans: Engineering Structures, v. 286 (juillet 2023). (2023):
- Reliability-based assessment of progressive collapse in horizontally irregular multi-story concrete buildings. Dans: Structures, v. 44 (octobre 2022). (2022):
- Estimating seismic demand models of a building inventory from nonlinear static analysis using deep learning methods. Dans: Engineering Structures, v. 266 (septembre 2022). (2022):
- Sustainable early design exploration of mid-rise office buildings with different subsystems using comparative life cycle assessment. Dans: Journal of Building Engineering, v. 48 (mai 2022). (2022):
- A relational database to support post-earthquake building damage and recovery assessment. Dans: Earthquake Spectra, v. 38, n. 2 (27 janvier 2022). (2022):
- Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design. Dans: Engineering Structures, v. 245 (octobre 2021). (2021):
- Probabilistic seismic assessment of non-ductile RC buildings retrofitted using pre-tensioned aramid fiber reinforced polymer belts. Dans: Composite Structures, v. 208 (janvier 2019). (2019):
- Probabilistic seismic performance and loss evaluation of a multi-story steel building equipped with butterfly-shaped fuses. Dans: Journal of Constructional Steel Research, v. 172 (septembre 2020). (2020):
- The effect of design drift limit on the seismic performance of RC dual high-rise buildings. Dans: The Structural Design of Tall and Special Buildings, v. 27, n. 8 (10 juin 2018). (2018):