Large .vtu data for 'Endoleaks as Emergent Microfluidic Networks' Submission

This dataset contains the large computational fluid dynamics (CFD) field exports that accompany the manuscript "Endoleaks as Emergent Microfluidic Networks." The two .vtu files are final-frame exports from XFlow (Dassault Systèmes; a particle-based lattice-Boltzmann solver), for single-phase, isothermal, Newtonian flow of a blood-analog fluid through the endoleak channel between a stent-graft and the arterial wall. They are archived here because they are too large to host in the accompanying code repository on GitHub, which contains all of the geometry-generation and post-processing scripts that consume them. The geometry-generation and post-processing code that uses these CFD fields is available in the accompanying GitHub repository, https://github.com/SurgBioMech/endoleak_emergent_microfluidic_networks_code maintained by the Pocivavsek Laboratory (University of Chicago). Files: - 0.5mm_w9_g_13333_b_13333_20.vtu (~248 MB) — Self-similar wrinkle-network case (0.5 mm seal gap, wave number n = 9; cyclic condition with the bulk and endoleak outlets both held at 13,333 Pa). This is the field used to generate the seal-zone static-pressure profiles of Fig. 1B–D via the centerline-sampling method (Supplementary Information §S2.2.2). - j130_3percent_artery_scaling_1.vtu (~464 MB) — Self-affine case: a finite-element-deployed endograft (j130) in its artery, used for the per-wrinkle dimensionless flow rate Q* of Fig. 2 (Supplementary Information §S2.2.3). To reproduce the analyses, download the relevant file into the corresponding folder of the code repository and run the script documented in that folder's README.