- New insights on rocking of rigid blocks: Analytical solutions and exact energy‐based overturning criteria. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 9 (25 July 2022). (2022):
- (2022): Predicting the Response of Laminated Composite Beams: A Comparison of Machine Learning Algorithms. In: Frontiers in Built Environment, v. 8 (February 2022).
- Performance of the Mass-Reduction Design of Multistory Buildings Utilizing Sliding Systems. In: Journal of Structural Engineering (ASCE), v. 148, n. 1 (January 2022). (2022):
- Machine learning design of R/C columns. In: Engineering Structures, v. 226 (January 2021). (2021):
- Optimizing the natural frequencies of axially functionally graded beams and arches. In: Composite Structures, v. 160 (January 2017). (2017):
- A comparative study of linear and nonlinear mass damping systems under seismic excitation. In: Engineering Structures, v. 219 (September 2020). (2020):
- Machine learning and nonlinear models for the estimation of fundamental period of vibration of masonry infilled RC frame structures. In: Engineering Structures, v. 216 (August 2020). (2020):
- Α mass‐reduction design concept for seismic hazard mitigation. In: Earthquake Engineering and Structural Dynamics, v. 49, n. 3 (March 2020). (2020):
- (2019): Critical Evaluation of Metaheuristic Algorithms for Weight Minimization of Truss Structures. In: Frontiers in Built Environment, v. 5 (November 2019).
- (2019): A Simple Rate-Independent Uniaxial Shape Memory Alloy (SMA) Model. In: Frontiers in Built Environment, v. 4 (February 2019).
- (2019): Effects of Hysteresis and Negative Stiffness on Seismic Response Reduction: A Case Study Based on the 1999 Athens, Greece Earthquake. In: Frontiers in Built Environment, v. 4 (February 2019).