Wind-resistant stability of bridges with three-force coefficients based on deep learning under mountain conditions

Artificial Intelligence in Mechanical Manufacturing: From Machine Learning to Generative Pre-trained Transformer

Open Access

Table 1

Comparison of statistical characteristics of the generated wind speed field.

Statistical metric	WRF reference data	Generated data	Error rate (%)	Validation method
Mean Wind Speed	12.3 m/s	12.1 m/s	1.63	Mean value test (50 samples)
Turbulence Intensity	18.70%	17.90%	4.28	Mean speed
Reynolds Stress	0.85 N/m²	0.82 N/m²	3.53	2D planar correlation analysis
Integral Length Scale	56.2 m	54.8 m	2.49	Autocorrelation function integration
Turbulent Kinetic Energy	3.42 m²/s²	3.31 m²/s²	3.22	$k = \frac{1}{2} (u^{' 2} + v^{' 2} + w^{' 2})$
Energy Spectrum Slope	−1.67 ± 0.05	−1.63 ± 0.07	2.4	Least squares fitting in the inertial subrange

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