Programs and Algorithms of Numerical Mathematics 21最新文献_第3页

Different boundary conditions for LES solver Palm 6.0 used for ABL in tunnel experiment 用于隧道ABL实验的LES求解器Palm 6.0的不同边界条件

Programs and Algorithms of Numerical Mathematics 21 Pub Date : 2023-04-24 DOI: 10.21136/panm.2022.19

H. Reznícek, J. Geletič, M. Bureš, P. Krč, J. Resler, Kateřina Vrbová, A. Trush, P. Michálek, L. Benes, M. Sühring

{"title":"Different boundary conditions for LES solver Palm 6.0 used for ABL in tunnel experiment","authors":"H. Reznícek, J. Geletič, M. Bureš, P. Krč, J. Resler, Kateřina Vrbová, A. Trush, P. Michálek, L. Benes, M. Sühring","doi":"10.21136/panm.2022.19","DOIUrl":"https://doi.org/10.21136/panm.2022.19","url":null,"abstract":"We tried to reproduce results measured in the wind tunnel experiment with a CFD simulation provided by numerical model PALM. A realistic buildings layout from the Prague-Dejvice quarter has been chosen as a testing domain because solid validation campaign for PALM simulation of Atmospheric Boundary Layer (ABL) over this quarter was documented in the past. The question of input data needed for such simulation and capability of the model to capture correctly the inlet profile and its turbulence structure provided by the wind-tunnel is discussed in the study. The PALM dynamical core contains a solver for the Navier-Stokes equations. By default, the model uses the Large Eddy Simulation (LES) approach in which the bulk of the turbulent motions is explicitly resolved. It is well validated tool for simulations of the complex air-flow within the real urban canopy and also within its reduced scale provided by wind tunnel experiments. However the computed flow field between the testing buildings did not correspond well to the measured wind velocity in some points. Different setting of the inlet boundary condition was tested but none of them gave completely developed turbulent flow generated by vortex generators and castellated barrier wall place at the entrance of the aerodynamic section of the wind tunnel.","PeriodicalId":197168,"journal":{"name":"Programs and Algorithms of Numerical Mathematics 21","volume":"43 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130475197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Numerical realization of the Bayesian inversion accelerated using surrogate models 利用代理模型加速贝叶斯反演的数值实现

Programs and Algorithms of Numerical Mathematics 21 Pub Date : 2023-04-24 DOI: 10.21136/panm.2022.03

Simona Bérešová

{"title":"Numerical realization of the Bayesian inversion accelerated using surrogate models","authors":"Simona Bérešová","doi":"10.21136/panm.2022.03","DOIUrl":"https://doi.org/10.21136/panm.2022.03","url":null,"abstract":"The Bayesian inversion is a natural approach to the solution of inverse problems based on uncertain observed data. The result of such an inverse problem is the posterior distribution of unknown parameters. This paper deals with the numerical realization of the Bayesian inversion focusing on problems governed by computationally expensive forward models such as numerical solutions of partial differential equations. Samples from the posterior distribution are generated using the Markov chain Monte Carlo (MCMC) methods accelerated with surrogate models. A surrogate model is understood as an approximation of the forward model which should be computationally much cheaper. The target distribution is not fully replaced by its approximation; therefore, samples from the exact posterior distribution are provided. In addition, non-intrusive surrogate models can be updated during the sampling process resulting in an adaptive MCMC method. The use of the surrogate models significantly reduces the number of evaluations of the forward model needed for a reliable description of the posterior distribution. Described sampling procedures are implemented in the form of a Python package.","PeriodicalId":197168,"journal":{"name":"Programs and Algorithms of Numerical Mathematics 21","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133416307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On a computational approach to multiple contacts / impacts of elastic bodies 弹性体多次接触/冲击的计算方法

Programs and Algorithms of Numerical Mathematics 21 Pub Date : 2023-04-24 DOI: 10.21136/panm.2022.25

J. Vala, Václav Rek

引用次数: 0

Improved flux reconstructions in one dimension 改进了一维通量重建

Programs and Algorithms of Numerical Mathematics 21 Pub Date : 2023-04-24 DOI: 10.21136/panm.2022.27

M. Vlasák, J. Lamač

引用次数: 0