Zobrazeno 1 - 10
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pro vyhledávání: '"Değer, Zeynep Tuna"'
Machine learning is becoming increasingly prevalent for tackling challenges in earthquake engineering and providing fairly reliable and accurate predictions. However, it is mostly unclear how decisions are made because machine learning models are gen
Externí odkaz:
http://arxiv.org/abs/2301.04652
Publikováno v:
In Journal of Building Engineering 1 December 2024 98
Backbone curves are used to characterize nonlinear responses of structural elements by simplifying the cyclic force-deformation relationships. Accurate modeling of cyclic behavior can be achieved with a reliable backbone curve model. In this paper, a
Externí odkaz:
http://arxiv.org/abs/2111.13605
Publikováno v:
Structures 2022
Current seismic design codes primarily rely on the strength and displacement capacity of structural members and do not account for the influence of the ground motion duration or the hysteretic behavior characteristics. The energy-based approach serve
Externí odkaz:
http://arxiv.org/abs/2111.08295
The recent surge in earthquake engineering is the use of machine learning methods to develop predictive models for structural behavior. Complex black-box models are typically used for decision making to achieve high accuracy; however, as important as
Externí odkaz:
http://arxiv.org/abs/2111.13580
Akademický článek
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Publikováno v:
In Structures November 2022 45:343-352
Autor:
Değer, Zeynep Tuna1 zeynep.tuna@itu.edu.tr, Kaya, Gülşen Taşkın1 gülsen.taskin@itu.edu.tr, Sütcü, Fatih2 fatih.sutcu@itu.edu.tr
Publikováno v:
Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2023, Vol. 38 Issue 4, p2311-2323. 13p.
Autor:
Deger, Zeynep Tuna, Taskin, Gulsen
Publikováno v:
In Engineering Structures 15 March 2022 255
Akademický článek
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