Abstract
A new generation earthquake-resistant structural design method under intensive research is the energy-based design method, which requires to know the energy dissipation behavior of structural members to accomplish effective designs once energy demands are known. Nonlinear behavior of RC shear walls, commonly used in seismic regions, can be investigated in terms of hysteretic energy dissipation capacity (EDC) from the energy point of view. Relevant research studies have been limited, whereas current seismic codes do not include the energy-based design. In this study, a comprehensive wall test database is assembled and used to assess the influence of wall design parameters (e.g. geometry, reinforcement) on EDC. Empirical equations are developed to estimate the EDC based on High Dimensional Model Representation (HDMR), a successful method that can generate analytical functions. The proposed predictive model stands out with its simultaneously accurate (R2 = 0.93, estimated/actual ratio = 0.99) and transparent structure. From the design point of view, accurate prediction of the EDC would be valuable in that different detailing alternatives in shear wall design can be compared based on their dissipated energy. From the damage point of view, the findings of this study will be indicators of structural damage and provide information regarding energy-based damage assessment of existing buildings.
Translated title of the contribution | Investigation of the energy dissipation capacity of RC shear walls using meta-modeling methods |
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Original language | Turkish |
Pages (from-to) | 2311-2323 |
Number of pages | 13 |
Journal | Journal of the Faculty of Engineering and Architecture of Gazi University |
Volume | 38 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2023 |
Bibliographical note
Publisher Copyright:© 2023 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.
Funding
Bu çalışmayı 218M535 numaralı proje kapsamında destekleyen Türkiye Bilimsel ve Teknolojik Araştırma Kurumu’na (TÜBİTAK) ve emeklerinden dolayı yüksek lisans öğrencisi Berkay Topaloğlu ve doktora öğrencisi Siamak Tahaei Yaghoubi’ye teşekkür ederiz. Bu çalışmada bahsi geçen görüşler sadece yazarlara aittir ve başka hiçbir organizasyon ve kişiyi temsil etmemektedir.
Funders | Funder number |
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Türkiye Bilimsel ve Teknolojik Araştırma Kurumu |