![]() To overcome the limitations of an imperfect finite element model and a shortage of data, Gaussian process regression is introduced and modified to consider both, the finite element analysis results and actual measurement data. This study proposes a new Bayesian method that employs both a finite element model and actual measurement data. However, these approaches may be limited by model errors caused by uncertainties in various factors, such as material properties, creep coefficient, and temperature. ![]() ![]() Therefore, various standards and studies have suggested physics-based models for predicting the time-dependent deflection of railway bridges. Vertical deflection has been emphasized as an important safety indicator in the management of railway bridges.
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