Selçuk Demir 
- (2024): Advanced tree-based machine learning methods for predicting the seismic response of regular and irregular RC frames. In: Structures, v. 64 (Juni 2024).
- (2023): Examining the Role of Liquefiable Layer Thickness and Depth on the Seismic Lateral Response of Piles through Numerical Analyses. In: International Journal of Geomechanics, v. 23, n. 5 (Mai 2023).
- : Numerical Investigation of the Effects of Ground Motion Characteristics on the Seismic Behavior of Liquefiable Soil. In: Periodica Polytechnica Civil Engineering.
- (2022): Effect of shear strain compatibility and incompatibility approaches in the design of high modulus columns against liquefaction: A case study in Christchurch, New Zealand. In: Bulletin of Earthquake Engineering, v. 20, n. 11 (Juni 2022).
- (2022): Comparison of tree-based machine learning algorithms for predicting liquefaction potential using canonical correlation forest, rotation forest, and random forest based on CPT data. In: Soil Dynamics and Earthquake Engineering, v. 154 (März 2022).
- (2019): Numerical investigation of seismic performance of high modulus columns under earthquake loading. In: Earthquake Engineering and Engineering Vibration, v. 18, n. 4 (Oktober 2019).
- (2019): Sıvılaşmanın UBC3D-PLM Model ile Tahmin Edilmesi: Santrifüj Deneyi Örneği. In: Teknik Dergi, v. 30, n. 5 (September 2019).
- (2020): Parametric investigation of effectiveness of high modulus columns in liquefaction mitigation. In: Soil Dynamics and Earthquake Engineering, v. 139 (Dezember 2020).
Structurae kooperiert mit
