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<p>Economic losses and catastrophic casualties may occur once super high-rise structures are struck by low-probability but high-consequence scenarios of concurrent earthquakes and winds. Therefore, accurately predicting multi-hazard dynamic responses to super high-rise structures has significant engineering and scientific value. This study performed a parametric global sensitivity analysis (GSA) for multi-hazard dynamic response prediction of super high-rise structures using the multiple-degree-of-freedom shear (MFS) model. Polynomial chaos Kriging (PCK) was introduced to build a surrogate model that allowed GSA to be combined with Sobol’ indices. Monte Carlo simulation (MCS) is also conducted for the comparison to verify the accuracy and efficiency of the PCK method. Parametric sensitivity analysis is performed for a wide range of aleatory uncertainty (intensities of coupled multi-hazard), epistemic uncertainty (bending stiffness, <i>k</i><sub><i>m</i></sub>; shear stiffness, <i>k</i><sub><i>q</i></sub>; density, <i>ρ</i>; and damping ratio, <i>ξ</i>), probability distribution types, and coefficients of variation. The results indicate that epistemic uncertainty parameters, <i>k</i><sub>m</sub>, <i>ρ</i>, and <i>ξ</i> dramatically affect the multi-hazard dynamic responses of super high-rise structures; in addition, Sobol’ indices between the normal and lognormal distributions are insignificant, while the variation levels have remarkably influenced the sensitivity indices.</p>

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Global sensitivity analysis of super high-rise structures under multi-hazards of earthquake and wind using polynomial chaos Kriging

  • 期刊论文

  • 发表日期：

    2025年4月1日

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  • Canhua Liu,
  • Hongnan Li,
  • Chao Li

摘要

Economic losses and catastrophic casualties may occur once super high-rise structures are struck by low-probability but high-consequence scenarios of concurrent earthquakes and winds. Therefore, accurately predicting multi-hazard dynamic responses to super high-rise structures has significant engineering and scientific value. This study performed a parametric global sensitivity analysis (GSA) for multi-hazard dynamic response prediction of super high-rise structures using the multiple-degree-of-freedom shear (MFS) model. Polynomial chaos Kriging (PCK) was introduced to build a surrogate model that allowed GSA to be combined with Sobol’ indices. Monte Carlo simulation (MCS) is also conducted for the comparison to verify the accuracy and efficiency of the PCK method. Parametric sensitivity analysis is performed for a wide range of aleatory uncertainty (intensities of coupled multi-hazard), epistemic uncertainty (bending stiffness, km; shear stiffness, kq; density, ρ; and damping ratio, ξ), probability distribution types, and coefficients of variation. The results indicate that epistemic uncertainty parameters, km, ρ, and ξ dramatically affect the multi-hazard dynamic responses of super high-rise structures; in addition, Sobol’ indices between the normal and lognormal distributions are insignificant, while the variation levels have remarkably influenced the sensitivity indices.