Automated Bayesian modal identification for full-scale transmission towers by comprehensive field tests
Author:
Affiliation:
1. Department of Civil Engineering, Xi’an Jiaotong University, Xi’an, China
2. Northwest Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Xi’an, China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15732479.2024.2439489
Reference53 articles.
1. A Bayesian methodology for detection of railway ballast damage using the modified Ludwik nonlinear model
2. Dynamic soil-structure interaction of a single-span railway bridge, forced vibration testing and simulation
3. An unsupervised learning algorithm for computer vision-based blind modal parameters identification of output-only structures from video measurements
4. Fast Bayesian FFT Method for Ambient Modal Identification with Separated Modes
5. Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value
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