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一、主講人介紹：Jung-II Choi教授

Jung-II Choi, 本碩博均畢業(yè)于韓國(guó)科學(xué)技術(shù)院，現(xiàn)為韓國(guó)延世大學(xué)數(shù)學(xué)與計(jì)算學(xué)院教授，博士生導(dǎo)師。主要從事多物理場(chǎng)模擬與計(jì)算以及數(shù)據(jù)驅(qū)動(dòng)建模等方面的研究。在Journal of Computational Physics, Journal of Fluid Mechanics , Building and Environment, International Journal of Heat and Mass Transfer等國(guó)際頂尖和權(quán)威期刊發(fā)表論文90余篇。

二、講座信息

This talk introduces numerical methods for solving natural convection problems with temperature-dependent fluid properties. The first method is the monolithic projection method with staggered time discretization (MPM-STD), which has been shown to accurately predict 2D and 3D Rayleigh-Benard convection under different thermal boundary conditions. Later, we extend the MPM-STD to the monolithic immersed boundary projection method (MIBPM) with staggered time discretization, which has been shown to accurately impose no-slip conditions and exhibit good stability for 2D and 3D forced and natural convection problems. Finally, we released PaScaL_TCS, an efficient and scalable solver for large-scale direct numerical simulations of natural convective flow considering temperature-dependent fluid properties. The solver has been shown to exhibit good strong and weak scalability up to 131,072 cores and has been verified by conducting large-scale differentially heated vertical convection flow simulations under the Oberbeck-Boussinesq approximation.

時(shí)間：2023年4月20日13:00-14:00

騰訊會(huì)議：943-333-852 

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中國(guó)海洋大學(xué)國(guó)際合作與交流處

數(shù)學(xué)科學(xué)學(xué)院