Train load identification of the medium-small railway bridge using virtual axle theory and Bayesian inference

DOI10.1142/S0219455424501931zbMATH Open1548.74328MaRDI QIDQ6594375

Xiaoming Guo, Jianxiao Mao, Author name not available (Why is that?), Zhenhao Pang, Xiaojie Zhu

Publication date: 28 August 2024

Published in: International Journal of Structural Stability and Dynamics (Search for Journal in Brave)

zbMATH Keywords

Bayesian inferenceuncertainty quantificationerror patternrailway bridgestrain load identificationvirtual axle theory

Mathematics Subject Classification ID

Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Applications of statistics to physics (62P35)

Cites Work

• Smoothing Splines
• Least squares quantization in PCM
• Dynamic analysis of coupled train and cracked bridge systems using multiscale finite element modeling
• Recent advances in researches on vehicle scanning method for bridges

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