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<p>Seismic vulnerability modelling requires methodologies that account for changes in design practices over time and the inherent variability within building portfolios, including the differences in geometry, materials, and construction quality. Conventional models use different assessment approaches, classification systems, and representations of seismic loading and are often developed using a limited number of archetypal structural models to characterise an entire building class. As a result, these models tend to oversimplify individual building response, often fail to reflect building-to-building variability adequately, and do not account for multiple sources of uncertainty. To overcome these limitations, a collaborative and unified simulated design (SimDesign) framework for buildings has recently been introduced under the Built Environment Data (BED) initiative alongside an open-source Python implementation. Following the simulated design process, the framework generates numerical models in OpenSees for non-linear analyses, facilitating the development of vulnerability models for RC buildings. Leveraging its collaborative nature, this article presents the first country-specific extension of the framework for reinforced concrete (RC) frame buildings in Türkiye. More specifically, the historical and modern Turkish seismic design regulations are examined in detail, and specific design rules are integrated along with available statistical data on construction practices. Example applications were also conducted to assess the structural capacities associated with each implemented Turkish design class through non-linear pushover and dynamic analyses. The analysis outcomes revealed a consistent improvement in lateral force and ductility capacity over time, closely aligned with progressive enhancements in seismic code provisions and construction practices. Ultimately, this work has the potential to support more accurate seismic vulnerability modelling, which improves risk assessments and aids effective mitigation strategies for enhanced disaster resilience in the country.</p>

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A model for the simulated design of Turkish RC frame buildings in seismic vulnerability analysis

  • 期刊论文

  • 发表日期：

    2025年10月8日

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  • Serkan Hasanoğlu,
  • Volkan Ozsarac,
  • Gerard J. O’Reilly

摘要

Seismic vulnerability modelling requires methodologies that account for changes in design practices over time and the inherent variability within building portfolios, including the differences in geometry, materials, and construction quality. Conventional models use different assessment approaches, classification systems, and representations of seismic loading and are often developed using a limited number of archetypal structural models to characterise an entire building class. As a result, these models tend to oversimplify individual building response, often fail to reflect building-to-building variability adequately, and do not account for multiple sources of uncertainty. To overcome these limitations, a collaborative and unified simulated design (SimDesign) framework for buildings has recently been introduced under the Built Environment Data (BED) initiative alongside an open-source Python implementation. Following the simulated design process, the framework generates numerical models in OpenSees for non-linear analyses, facilitating the development of vulnerability models for RC buildings. Leveraging its collaborative nature, this article presents the first country-specific extension of the framework for reinforced concrete (RC) frame buildings in Türkiye. More specifically, the historical and modern Turkish seismic design regulations are examined in detail, and specific design rules are integrated along with available statistical data on construction practices. Example applications were also conducted to assess the structural capacities associated with each implemented Turkish design class through non-linear pushover and dynamic analyses. The analysis outcomes revealed a consistent improvement in lateral force and ductility capacity over time, closely aligned with progressive enhancements in seismic code provisions and construction practices. Ultimately, this work has the potential to support more accurate seismic vulnerability modelling, which improves risk assessments and aids effective mitigation strategies for enhanced disaster resilience in the country.