Date: May 1, 2025 at 11 a.m. ET
Watch the recording on YouTube
Author Stefan Domino (Sandia National Laboratories and Stanford University) will sit down with the Physical Review Journal Club via Zoom on May 1 at 11 a.m. ET, to give a brief presentation followed by Q&A. The Q&A will be moderated by Physical Review Fluids Associate Editor, Jackie Chen (Sandia National Laboratories).
Registration is free, and a video recording will be provided to all registrants.
Large-scale pool fires can arise during transportation accidents where hydrocarbon liquid-based fuels are used to power vehicles such as trucks and airplanes. Understanding the behavior of fire accident scenarios that include large liquid fuel inventory breaches has driven a range of fire physics elucidation efforts and the creation of high quality experimental validation data sets. Modeling and simulation development and deployment of predictive methods has closely followed, starting with a Reynolds-averaged Navier-Stokes (RANS) approach for buoyant flows that was recently fully transitioned to a modern large-eddy simulation (LES) paradigm.
In this paper, the authors describe a multiphysics, low-Mach, state-of-the-art unstructured wall-modeled LES approach to accurately predict windward-to-leeward migration of heat fluxes on an elevated fire-engulfed object as crosswind increases. Two validation use cases are provided: an isothermal flow past an elevated cylinder within the subcritical and supercritical drag regimes and a pool fire-engulfed elevated mock fuselage in the presence of two mean crosswinds, alongside structural uncertainty quantification.
Structural uncertainty assessment for fire-engulfed objects in crosswind: Establishing credibility for a multiphysics wall-modeled large-eddy simulation paradigm
Stefan P. Domino, Sarah Scott, and Josh Hubbard
Phys. Rev. Fluids 9, 104401
