Gebrail Bekdaş

Gebrail Bekdaş , Professor, is researcher in Mechanics Divisions at Department of Civil Engineering, Istanbul University - Cerrahpaşa. He obtained his DPhil in Structural Engineering from Istanbul University. He has authored about 450 papers until now.

Publications

A Review of Metaheuristic-Based Optimum Design of Reinforced Concrete Structures: Multi-Objective Optimization of Reinforced Concrete Columns
A Review of Metaheuristic-Based Optimum Design of Reinforced Concrete Structures: Multi-Objective Optimization of Reinforced Concrete Columns
Yaren Aydın, Sinan Melih Nigdeli, Gebrail Bekdaş, Sanghun Kim, Zong Woo Geem. © 2024. 36 pages.
With the increase in environmentally friendly approaches, it has been studied for the optimum design of reinforced concrete components that contain cement and steel with high CO2...
A Review of Optimization of Structural Control Systems: Usage of Metaheuristics in Structural Control
A Review of Optimization of Structural Control Systems: Usage of Metaheuristics in Structural Control
Fatih Tarık Sari, Sinan Melih Nigdeli, Gebrail Bekdaş, Zong Woo Geem. © 2024. 20 pages.
Structures are exposed to dynamic loads such as ground motions. Structures exposed to ground motion may be subjected to deformation if they do not have control systems. Control...
Optimum Design of Timber Roof Structural Members in the Case of Fire
Optimum Design of Timber Roof Structural Members in the Case of Fire
Serdar Ulusoy, Gebrail Bekdaş, Sinan Melih Nigdeli. © 2022. 16 pages.
One of the most important tasks of structural engineers is the design of structural elements with appropriate cross-sections to ensure the balance of economy and safety in...
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...
Review and Applications of Machine Learning and Artificial Intelligence in Engineering: Overview for Machine Learning and AI
Review and Applications of Machine Learning and Artificial Intelligence in Engineering: Overview for Machine Learning and AI
Melda Yucel, Gebrail Bekdaş, Sinan Melih Nigdeli. © 2022. 12 pages.
This chapter presents a summary review of the development of artificial intelligence (AI). The chapter provides definitions of AI, together with its basic features, and...
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...
Control of Full-Size Frame Structures via Optimum Tuned Mass Dampers
Control of Full-Size Frame Structures via Optimum Tuned Mass Dampers
Apaer Mubuli, Sinan Melih Nigdeli, Gebrail Bekdaş. © 2021. 15 pages.
Structural control techniques are widely used to reduce the maximum values of the vibrations caused by strong earthquakes and winds and to rapidly dampen them. Among them...
Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Meta-Heuristic Algorithms
Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Meta-Heuristic Algorithms
Celal Cakiroglu, Kamrul Islam, Gebrail Bekdaş. © 2021. 12 pages.
Concrete-filled steel tubular (CFST) columns are an extensively studied area due to the favorable structural characteristics of these members. In order obtain the best possible...
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Gebrail Bekdaş, Sinan Melih Nigdeli, Melda Yücel. © 2020. 312 pages.
In today’s developing world, industries are constantly required to improve and advance. New approaches are being implemented to determine optimum values and solutions for models...
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...
Review and Applications of Machine Learning and Artificial Intelligence in Engineering: Overview for Machine Learning and AI
Review and Applications of Machine Learning and Artificial Intelligence in Engineering: Overview for Machine Learning and AI
Melda Yucel, Gebrail Bekdaş, Sinan Melih Nigdeli. © 2020. 12 pages.
This chapter presents a summary review of development of Artificial Intelligence (AI). Definitions of AI are given with basic features. The development process of AI and machine...
Artificial Neural Networks (ANNs) and Solution of Civil Engineering Problems: ANNs and Prediction Applications
Artificial Neural Networks (ANNs) and Solution of Civil Engineering Problems: ANNs and Prediction Applications
Melda Yucel, Sinan Melih Nigdeli, Gebrail Bekdaş. © 2020. 26 pages.
This chapter reveals the advantages of artificial neural networks (ANNs) by means of prediction success and effects on solutions for various problems. With this aim, initially...
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...