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This paper investigates the uncertaintyUncertainty associatedWind profile with the calibration of the logarithmic mean wind profileWind profile based on wind Lidar measurementsLidar measurements, and its propagation to base shear and moment of medium-to-high-rise buildings. First, a minimum problem is solved to find the values of the shape parameters of the logarithmic law, i.e. roughness length and displacement height for each measured profile. Then, a constrained minimum problem is setup for their optimum calibration over the entire set of measurements. It is found that the amount of uncertaintyUncertainty on the measured profiles with respect to the calibrated one is low, and its propagation to the stress resultants depends on the building height.

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Calibration of the Logarithmic Mean Wind Profile Based on Experimental Data

  • 会议论文

  • 发表日期：

    2026年

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  • Vincenzo Picozzi,
  • Vincenzo Sepe,
  • Alberto M. Avossa,
  • Francesco Ricciardelli

摘要

This paper investigates the uncertaintyUncertainty associatedWind profile with the calibration of the logarithmic mean wind profileWind profile based on wind Lidar measurementsLidar measurements, and its propagation to base shear and moment of medium-to-high-rise buildings. First, a minimum problem is solved to find the values of the shape parameters of the logarithmic law, i.e. roughness length and displacement height for each measured profile. Then, a constrained minimum problem is setup for their optimum calibration over the entire set of measurements. It is found that the amount of uncertaintyUncertainty on the measured profiles with respect to the calibrated one is low, and its propagation to the stress resultants depends on the building height.