A train-bridge stochastic model based on deep neural network-driven probability density evolution method

doi:10.1016/j.engstruct.2025.121558

A train-bridge stochastic model based on deep neural network-driven probability density evolution method

2025-10-15

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DOI：10.1016/j.engstruct.2025.121558

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• A train-slab track-bridge model with wheel-rail rigid contacts is established and validated. • A DNN-PDEM is developed to solve the random vibrations of train-bridge system. • The DNN-PDEM has superiority in solving the medium- and high-frequency random responses over traditional PDEM. • A field experiment of train-bridge system was conducted to verify the efficiency and accuracy of the proposed method.

A train-bridge stochastic model based on deep neural network-driven probability density evolution method

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