A probabilistic cut finite element method with random field generator and Bayesian model calibration for flow through rough cracks - data
收藏DataCite Commons2025-10-09 更新2026-02-09 收录
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https://research-data.cardiff.ac.uk/articles/dataset/A_probabilistic_cut_finite_element_method_with_random_field_generator_and_Bayesian_model_calibration_for_flow_through_rough_cracks_-_data/27605592
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资源简介:
This dataset contains the results of an experimental and numerical investigation into the flow of fluids through rough fractures. The experimental results concern the flow of different fluids through rough cracks of varying crack width. Fluid flow is simulated using a probabilistic cut finite element method (PCutFEM). The numerical model considers the crack roughness and tortuosity that are calculated from a random field model representation of the crack asperities, in addition to a spatially varying crack width associated with material loss during fracture. Statistical parameters describing the crack asperities are determined using a Bayesian inference that considers uncertainty in measured values, observations of crack permeabilities and the stochastic nature of the random field model. The dataset comprises Excel files that contain i) the results of a verification study, ii) the results of a validation study, iii) data relating to the Bayesian model calibration and finally iv) experimental data and numerical results concerning flow through rough concrete cracks and the corresponding statistical analysis.
提供机构:
Cardiff University
创建时间:
2024-11-04



