One-Dimensional, One-Phase and Two-Phase Eulerian Explicit Shock Tube Simulation Code

欧拉路径 编码(集合论) 冲击管 相(物质) 休克(循环) 机械 管(容器) 计算机科学 物理 机械工程 理论物理学 冲击波 程序设计语言 工程类 拉格朗日 医学 集合(抽象数据类型) 量子力学 内科学
作者
M. Giselle Fernández-Godino
出处
期刊:Cornell University - arXiv
标识
DOI:10.48550/arxiv.2406.14018
摘要

In this work, a one-dimensional simulation code was developed for both single-phase and two-phase systems, focusing on time-dependent Euler equations for gas and particles. These equations, non-linear hyperbolic conservation laws, describe the dynamics of compressible materials, where body forces, viscous stresses, and heat flux are neglected. The Euler equations were discretized using the finite volume method, and the code was written in MATLAB. To test the accuracy of the computational fluid code, the Sod shock tube problem, a physical analogue of the Riemann problem, was employed. This problem models a pressure discontinuity where high and low-pressure regions are separated by a diaphragm, which breaks at t=0, creating a discontinuity in density as well. Exact solutions were used for code verification. A key focus was on modeling a curtain of particles impacted by a shock wave, relevant to multiphase heterogeneous cylindrical explosion studies by the PSAAP II project. This initiative, funded by the US Department of Energy (DOE) National Nuclear Security Administration (NNSA) Office of Advanced Simulation and Computing (ASC), involves Sandia National Laboratories and the Center for Compressible Multiphase Turbulence at the University of Florida. The propagation of uncertainties in the maximum density of the particle curtain was studied by varying initial curtain thickness and initial high density. Given the computational expense of multiple code evaluations for uncertainty propagation, a multi-fidelity surrogate model combining low and high-fidelity simulations was implemented. This model facilitated uncertainty propagation using DAKOTA, a flexible and extensible interface between analysis codes and iterative systems analysis methods.
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