- Deep learning-based modeling of the cyclic behavior of replaceable fuse buckling-restrained braces (BRBs). In: Structures, v. 63 (Mai 2024). (2024):
- Flow forecasting for leakage burst prediction in water distribution systems using long short_term memory neural networks and Kalman filtering. In: Sustainable Cities and Society, v. 99 (Dezember 2023). (2023):
- Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 8 (März 2023). (2023):
- A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment. In: Structural Safety, v. 100 (Januar 2023). (2023):
- Fragility and vulnerability analysis of deteriorating ordinary bridges using simulated ground‐motion sequences. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 13 (25 Oktober 2022). (2022):
- (2022): A generalized ground-motion model for consistent mainshock–aftershock intensity measures using successive recurrent neural networks. In: Bulletin of Earthquake Engineering, v. 20, n. 12 (August 2022).
- A Bayesian network‐based probabilistic framework for updating aftershock risk of bridges. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 10 (August 2022). (2022):
- A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 1 (Februar 2023). (2023):
- An efficient algorithm to simulate site‐based ground motions that match a target spectrum. In: Earthquake Engineering and Structural Dynamics, v. 50, n. 13 (25 Oktober 2021). (2021):
- Evaluation of simulated ground motions using probabilistic seismic demand analysis: CyberShake (ver. 15.12) simulations for Ordinary Standard Bridges. In: Soil Dynamics and Earthquake Engineering, v. 141 (Februar 2021). (2021):
- Generalized ground motion prediction model using hybrid recurrent neural network. In: Earthquake Engineering and Structural Dynamics, v. 50, n. 6 (Mai 2021). (2021):
- Utilization of Site-Based Simulated Ground Motions for Hazard-Targeted Seismic Demand Estimation: Application for Ordinary Bridges in Southern California. In: Journal of Bridge Engineering (ASCE), v. 25, n. 11 (November 2020). (2020):
- Sensitivity of the response of Box-Girder Seat-type bridges to the duration of ground motions arising from crustal and subduction earthquakes. In: Engineering Structures, v. 219 (September 2020). (2020):
- Reliability Analysis of Steel SMRF and SCBF Structures Considering the Vertical Component of Near-Fault Ground Motions. In: Journal of Structural Engineering (ASCE), v. 145, n. 7 (Juli 2019). (2019):