MCMC samples of high-temperature burst models of a cladding tube
Published: 28 December 2023| Version 2 | DOI: 10.17632/cm59yssdmb.2
Contributor:
Yudai TasakiDescription
This is a dataset of MCMC samples of high-temperature burst models under loss-of coolant accident conditions. Four Bayesian estimated models and their datasets are available. The posterior predictive distributions of the burst models can be calculated by using the dataset. In addition, 3D graphs of the posterior predictive distributions are also available, which enables you to check the 3D graphs from arbitrary positions and directions.
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Categories
Nuclear Engineering, Nuclear Safety, Uncertainty Analysis, Nuclear Fuel Behavior, Bayesian Analysis