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<p>This study introduces a computationally efficient numerical method for simulating the mechanical behavior of buckling restrained braces (BRBs). The proposed modified core spring model (MCSM), implemented in ABAQUS, significantly reduces the need for detailed finite element modeling while preserving high predictive accuracy. The method captures essential features of BRB behavior across various conventional and advanced configurations by employing an optimized spring based representation of the yielding core. Key aspects of the model formulation, including constitutive behavior, stiffness calibration, and optimal spring spacing, are evaluated through targeted parametric analyses. Validation against experimental results demonstrates that MCSM reproduces cyclic response characteristics with maximum errors within approximately 4–7% across eight standard performance indices, while the most accurate cases exhibit errors below 1%. Additionally, the method significantly reduces computational time compared to full‑scale finite element (FE) models and minimizes convergence issues. These findings confirm that the MCSM can provide an effective and practical analytical tool for BRB simulation, offering detailed response predictions with substantially lower computational demand.</p>

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Response assessment of buckling-restrained braces using novel modified core-spring finite element model

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月8日

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  • Hesam Azizi,
  • Jamal Ahmadi,
  • Farzin Kazemi

摘要

This study introduces a computationally efficient numerical method for simulating the mechanical behavior of buckling restrained braces (BRBs). The proposed modified core spring model (MCSM), implemented in ABAQUS, significantly reduces the need for detailed finite element modeling while preserving high predictive accuracy. The method captures essential features of BRB behavior across various conventional and advanced configurations by employing an optimized spring based representation of the yielding core. Key aspects of the model formulation, including constitutive behavior, stiffness calibration, and optimal spring spacing, are evaluated through targeted parametric analyses. Validation against experimental results demonstrates that MCSM reproduces cyclic response characteristics with maximum errors within approximately 4–7% across eight standard performance indices, while the most accurate cases exhibit errors below 1%. Additionally, the method significantly reduces computational time compared to full‑scale finite element (FE) models and minimizes convergence issues. These findings confirm that the MCSM can provide an effective and practical analytical tool for BRB simulation, offering detailed response predictions with substantially lower computational demand.