- Video comprehension-based approach for seismic damage recognition of freestanding non-structural components. In: Engineering Structures, v. 308 (June 2024). (2024):
- An adapted LSTM-DRRNet approach for predicting floor acceleration response spectrum. In: Engineering Structures, v. 295 (November 2023). (2023):
- Collaborative filteringābased collapse fragility assessment. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (June 2023). (2023):
- A multi-source data-driven approach for evaluating the seismic response of non-ductile reinforced concrete moment frames. In: Engineering Structures, v. 278 (March 2023). (2023):
- Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering applications. In: Structures, v. 46 (December 2022). (2022):
- Accurate prediction of concrete compressive strength based on explainable features using deep learning. In: Construction and Building Materials, v. 329 (April 2022). (2022):
- Fire resistance behavior of T-stub joint components under transient heat transfer conditions. In: Engineering Structures, v. 237 (June 2021). (2021):
- Seismic Drift Demand Estimation for Steel Moment Frame Buildings: From Mechanics-Based to Data-Driven Models. In: Journal of Structural Engineering (ASCE), v. 147, n. 6 (June 2021). (2021):
- Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames. In: Engineering Structures, v. 224 (December 2020). (2020):
- Seismic performance of a self-centering steel moment frame building: From component-level modeling to economic loss assessment. In: Journal of Constructional Steel Research, v. 150 (November 2018). (2018):
- Dynamic behavior of CHS-SHS tubular T-joints subjected to low-velocity impact loading. In: Engineering Structures, v. 183 (March 2019). (2019):
- Fire-Resistance Behavior of Completely Overlapped Tubular Joints under Lap Brace Axial Loading. In: Journal of Structural Engineering (ASCE), v. 144, n. 9 (September 2018). (2018):