Mimar Sinan Güzel Sanatlar Üniversitesi Açık Bilim, Sanat Arşivi
Açık Bilim, Sanat Arşivi, Mimar Sinan Güzel Sanatlar Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.MSGSÜ'de Ara
Yazar "Ocak, Ayla" için listeleme
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Artificial Intelligence and Deep Learning in Civil Engineering
Ocak, Ayla; Nigdeli, Sinan Melih; Bekdaş, Gebrail; Işıkdağ, Ümit (Springer Science and Business Media Deutschland GmbH, 2023)Artificial intelligence is a variety of software developed that imitates the human brain to perform the tasks that the human brain can do. Aiming to minimize human intervention, this software has a wide range of content ... -
Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates
Ocak, Ayla; Bekdaş, Gebrail; Işıkdağ, Ümit; Nigdeli, Sinan Melih; Bilir, Turhan (Elsevier, 2024)Concrete is a material that loses water and changes shape while hardening due to its structure. Over time, this water loss results in some shrinkage of the hardened concrete, referred to as drying shrinkage. In addition, ... -
Estimation of Optimum Design of a 3-Bar Truss System with Decision Tree Algorithm
Ocak, Ayla; Bekdaş, Gebrail; Işıkdağ, Ümit; Nigdeli, Sinan Melih (Springer Science and Business Media Deutschland GmbH, 2023)Truss systems are structures that require care and cost due to the materials and workmanship used. In the design of such systems, the process of optimizing the material volume is necessary for optimum cost. In terms of ... -
Machine Learning Application of Structural Engineering Problems
Ocak, Ayla; Nigdeli, Sinan Melih; Bekdaş, Gebrail; Işıkdağ, Ümit (Springer Science and Business Media Deutschland GmbH, 2023)The cross-sectional properties of the basic structural system elements, such as columns and beams, are the basic structural design elements that need to be determined sensitively. For the optimum design of such structural ... -
Machine Learning-Based Prediction of Operability for Friction Pendulum Isolators Under Seismic Design Levels
Ocak, Ayla; Kahvecioğlu, Batuhan; Nigdeli, Sinan Melih; Bekdaş, Gebrail; Işıkdağ, Ümit; Geem, Zong Woo (MDPI, 2026)Within the scope of the study, the parameters of friction pendulum-type (FPS) isolators used or planned to be used in different projects were evaluated specifically for the project and its location. The evaluations were ... -
Prediction of Damping Capacity Demand in Seismic Base Isolators via Machine Learning
Ocak, Ayla; Isikdag, Umit; Bekdas, Gebrail; Nigdeli, Sinan Melih; Kim, Sanghun; Geem, Zong Woo (Tech Science Press, 2024)Base isolators used in buildings provide both a good acceleration reduction and structural vibration control structures. The base isolators may lose their damping capacity over time due to environmental or dynamic effects. ... -
Recent Advences of Artificial Intelligence in Civil Engineering
Bekdaş, Gebrail; Nigdeli, Sinan Melih; Ocak, Ayla; Işıkdağ, Ümit (Springer, 2026)This section of the book provides an introduction for the book titled “Artificial Intelligence in Civil Engineering”. This section provides information on current applications of artificial intelligence and its areas of ... -
Searching for the Best Artificial Neural Network Architecture to Estimate Column and Beam Element Dimensions
Ocak, Ayla; Bekdaş, Gebrail; Nigdeli, Sinan Melih; Işıkdağ, Ümit; Geem, Zong Woo (Multidisciplinary Digital Publishing Institute (MDPI), 2025)The cross-sectional dimensions of structural elements in a structure are design elements that need to be carefully designed and are related to the stiffness of the structure. Various optimization processes are applied to ...
