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The accurate determination of inter-story drift ratio (IDR) limits is crucial for assessing seismic damage in reinforced concrete (RC) frame structures. However, conventional fixed IDR limits may lead to inaccurate damage assessments when applied to structures with varying axial load ratios, steel grades, and beam-column stiffness ratios. To overcome this limitation, this study proposes a novel approach utilizing the XGBoost model to predict IDR limits while considering diverse structural parameters. The results demonstrate a significant improvement over the conventional method, with the prediction accuracies ranging from 90.8% to 97.0%, compared to only 48.3% with fixed IDR limits. These findings promise to enhance the precision of seismic damage assessment methodologies, thereby contributing to improved structural resilience and safety.

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Prediction of Inter-Story Drift Ratio Limits for Reinforced Concrete Frame Structures Based on XGBoost

  • 会议论文

  • 发表日期：

    2025年

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  • Y. C. Cao,
  • J. F. Zheng,
  • C. Xiong

摘要

The accurate determination of inter-story drift ratio (IDR) limits is crucial for assessing seismic damage in reinforced concrete (RC) frame structures. However, conventional fixed IDR limits may lead to inaccurate damage assessments when applied to structures with varying axial load ratios, steel grades, and beam-column stiffness ratios. To overcome this limitation, this study proposes a novel approach utilizing the XGBoost model to predict IDR limits while considering diverse structural parameters. The results demonstrate a significant improvement over the conventional method, with the prediction accuracies ranging from 90.8% to 97.0%, compared to only 48.3% with fixed IDR limits. These findings promise to enhance the precision of seismic damage assessment methodologies, thereby contributing to improved structural resilience and safety.