Aylin Ece Kayabekir

Aylin Ece Kayabekir is a student of civil engineering PhD program of Istanbul University - Cerrahpaşa. She is working on structural optimization and control. Up to now, the authored more than 30 papers about optimization of RC retaining walls, RC shear walls, frames, carbon fiber reinforced polymers, dynamic of structures interacting with soil and structural control in selected journals covered in SCI and international conferences. In optimization, she also organized several mini-symposiums or special sections in prestigious international events 12th International Congress on Mechanics (HSTAM2019) and 9th International Congress on Computational Mechanics (GRACM 2018). Now, she is working on a book project about optimization of reinforced concrete structures. She is supported by Turkish High Education Council and The Scientific and Technological Research Council of Turkey because of the importance of her thesis subject.

Publications

Comparison of Passive and Active Tuned Mass Dampers for Structures Subjected to Earthquake Excitations
Comparison of Passive and Active Tuned Mass Dampers for Structures Subjected to Earthquake Excitations
Aylin Ece Kayabekir, Gebrail Bekdaş, Sinan Melih Nigdeli. © 2022. 14 pages.
Passive and active control systems have been used in practical applications for new or existing structures. Active systems have generally better performance compared to passive...
Optimum Design of Carbon Fiber-Reinforced Polymer (CFRP) Beams for Shear Capacity via Machine Learning Methods: Optimum Prediction Methods on Advance Ensemble Algorithms – Bagging Combinations
Optimum Design of Carbon Fiber-Reinforced Polymer (CFRP) Beams for Shear Capacity via Machine Learning Methods: Optimum Prediction Methods on Advance Ensemble Algorithms – Bagging Combinations
Melda Yucel, Aylin Ece Kayabekir, Sinan Melih Nigdeli, Gebrail Bekdaş. © 2022. 19 pages.
In this chapter, an application for demonstrating the predictive success and error performance of ensemble methods combined via various machine learning and artificial...
Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities
Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities
Aylin Ece Kayabekir, Gebrail Bekdaş, Sinan Melih Nigdeli. © 2020. 229 pages.
Reinforced concrete structures are one of the major structural types and must adhere to design regulation codes. It is ideal to find the best design (section dimension, material...
Optimum Design of Carbon Fiber-Reinforced Polymer (CFRP) Beams for Shear Capacity via Machine Learning Methods: Optimum Prediction Methods on Advance Ensemble Algorithms – Bagging Combinations
Optimum Design of Carbon Fiber-Reinforced Polymer (CFRP) Beams for Shear Capacity via Machine Learning Methods: Optimum Prediction Methods on Advance Ensemble Algorithms – Bagging Combinations
Melda Yucel, Aylin Ece Kayabekir, Sinan Melih Nigdeli, Gebrail Bekdaş. © 2020. 19 pages.
In this chapter, an application for demonstrating prediction success and error performance of ensemble methods combined via various machine learning and artificial intelligence...