Generating Pulsating Wind Speed Time History Data Using Power Spectrum Method with AR Linear Filtering Technique
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Resource Overview
This methodology employs power spectrum approach combined with AR linear filtering to generate pulsating wind speed time histories, suitable for calculating structural wind loads. The implementation involves spectral decomposition and autoregressive modeling to simulate realistic wind fluctuations.
Detailed Documentation
This documentation presents an approach for generating pulsating wind speed time history data using power spectrum methodology integrated with AR linear filtering. The generated data serves as critical input for structural wind load calculations.
Key implementation aspects include:
- Utilizing power spectral density functions to define wind characteristics in frequency domain
- Applying autoregressive (AR) filtering techniques to transform spectral data into time-domain signals
- Implementing numerical algorithms for accurate simulation of wind fluctuation patterns
This combined approach enables more precise simulation of wind variation characteristics, thereby improving the accuracy of structural bearing capacity and safety assessments. The methodology ensures proper representation of wind stochastic properties through appropriate parameter calibration and validation procedures.
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