- Structural nonlinear seismic time-history response prediction of urban-scale reinforced concrete frames based on deep learning. In: Engineering Structures, v. 317 (Oktober 2024). (2024):
- Rapid peak seismic response prediction of two-story and three-span subway stations using deep learning method. In: Engineering Structures, v. 300 (Februar 2024). (2024):
- Probabilistic prediction of post-earthquake rubble range for RC frame structures. In: Soil Dynamics and Earthquake Engineering, v. 171 (August 2023). (2023):
- Seismic resilience assessment of buildings considering the effects of mainshock and multiple aftershocks. In: Journal of Building Engineering, v. 68 (Juni 2023). (2023):
- Rapid seismic response prediction of RC frames based on deep learning and limited building information. In: Engineering Structures, v. 267 (September 2022). (2022):
- System Identification Based on Deconvolution and Cross Correlation: An Application to a 20‐Story Instrumented Building in Anchorage, Alaska. In: Bulletin of the Seismological Society of America, v. 107, n. 2 (14 Februar 2017). (2017):
- Seismic damage detection of an instrumented RC frame structure with deconvolution interferometry. In: Soil Dynamics and Earthquake Engineering, v. 155 (April 2022). (2022):
- Vulnerability assessment of a high‐rise building subjected to mainshock–aftershock sequences. In: The Structural Design of Tall and Special Buildings, v. 29, n. 15 (25 Oktober 2020). (2020):
- Resilience loss factor for evaluation and design considering the effects of aftershocks. In: Soil Dynamics and Earthquake Engineering, v. 116 (Januar 2019). (2019):
- Residual displacement ratios of SDOF systems subjected to ground motions recorded on soft soils. In: Soil Dynamics and Earthquake Engineering, v. 115 (Dezember 2018). (2018):