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pro vyhledávání: '"Deger, 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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8729c9d5cc95141162a3f74e13d43f3
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53298bd8b335907834cfcdad348c998d
http://arxiv.org/abs/2111.08295
http://arxiv.org/abs/2111.08295
Autor:
Deger, Zeynep Tuna, Basdogan, Cagri
Reinforced concrete shear (structural) walls are commonly used as lateral-load resisting systems in high seismicity zones. Typical dominant behavior and failure mode of shear walls are dominated by shear for squat walls and by flexure for slender wal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::0d9f1be7e1758c6e6072cae3fbd667de
https://aperta.ulakbim.gov.tr/record/231658
https://aperta.ulakbim.gov.tr/record/231658
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a1582f9e0ecf334c2959af8ff64fffb