- Discretize-Then-Optimize Modeling for Dynamic Force Inversion Based on Runge–Kutta Explicit Time Integration. In: Journal of Engineering Mechanics (ASCE), v. 150, n. 4 (April 2024). (2024):
- Convolutional neural network for identifying effective seismic force at a DRM layer for rapid reconstruction of SH ground motions. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 2 (November 2023). (2023):
- On the reconstruction of the near-surface seismic motion. In: Soil Dynamics and Earthquake Engineering, v. 177 (Februar 2024). (2024):
- Level-Set and Learn: Convolutional Neural Network for Classification of Elements to Identify an Arbitrary Number of Voids in a 2D Solid Using Elastic Waves. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 6 (Juni 2023). (2023):
- Multilevel Genetic Algorithm–Based Acoustic–Elastodynamic Imaging of Coupled Fluid–Solid Media to Detect an Underground Cavity. In: Journal of Computing in Civil Engineering, v. 37, n. 1 (Januar 2023). (2023):
- Effective seismic force retrieval from surface measurement for SH-wave reconstruction. In: Soil Dynamics and Earthquake Engineering, v. 165 (Februar 2023). (2023):
- Deep and Convolutional Neural Networks for identifying vertically-propagating incoming seismic wave motion into a heterogeneous, damped soil column. In: Soil Dynamics and Earthquake Engineering, v. 162 (November 2022). (2022):
- Passive seismic inversion of SH wave input motions in a truncated domain. In: Soil Dynamics and Earthquake Engineering, v. 158 (Juli 2022). (2022):
- On the feasibility of simultaneous identification of a material property of a Timoshenko beam and a moving vibration source. In: Engineering Structures, v. 227 (Januar 2021). (2021):