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arXiv · 2403.17820

Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge

Lawrence A. Bull·Chiho Jeon·Mark Girolami·Andrew Duncan·Jennifer Schooling·Miguel Bravo Haro
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Abstract

We suggest a multilevel model, to represent aggregate train-passing events from the Staffordshire bridge monitoring system. We formulate a combined model from simple units, representing strain envelopes (of each train passing) for two types of commuter train. The measurements are treated as a longitudinal dataset and represented with a (low-rank approximation) hierarchical Gaussian process. For each unit in the combined model, we encode domain expertise as boundary condition constraints and work towards a general representation of the strain response. Looking forward, this should allow for the simulation of train types that were previously unobserved in the training data. For example, trains with more passengers or freights with a heavier payload. The strain event simulations are valuable since they can inform further experiments (including FEM calibration, fatigue analysis, or design) to test the bridge in hypothesised scenarios.

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Lawrence A. Bull, Chiho Jeon, Mark Girolami, Andrew Duncan, Jennifer Schooling, Miguel Bravo Haro. 2024-03-26. Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge. https://doi.org/10.12783/shm2023%2F37066

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