The Pseudo-Direct Numerical Simulation Method considered as a Reduced Order Model

被引:2
|
作者
Idelsohn, Sergio R. R. [1 ,2 ]
Gimenez, Juan M. M. [1 ,3 ]
Nigro, Norberto M. M. [3 ]
机构
[1] Ctr Int Metodes Numer Engn CIMNE, Barcelona, Spain
[2] Catalan Inst Res & Adv Studies ICREA, Barcelona, Spain
[3] Ctr Invest Metodos Computac CIMEC, Santa Fe, Argentina
关键词
Reduced Order Models; Pseudo direct numerical simulation; Transient advection diffusion reaction problems; Idelsohn's benchmark; Multi-scale methods; REDUCTION;
D O I
10.1186/s40323-022-00235-7
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The multiscale method called Pseudo-Direct Numerical Simulation (P-DNS) is presented as a Reduced Order Model (ROM) aiming to solve problems obtaining similar accuracy to a solution with many degrees of freedom (DOF). The theoretical basis of P-DNS is other than any standard ROM. However, from a methodological point of view, P-DNS shares the idea of an offline computation, as ROM does, providing the set of coefficients, as a database or table, needed to solve the main problem. This work highlights the advantages and disadvantages of both methodologies. In particular, the drawback of the standard ROM concerning problems where space and time are not separated variables is discussed. The so-called Idelsohn's benchmark is possibly the most elemental test that can be proposed to point out this drawback. This one-dimensional heat transfer problem with a moving heat source shows that, unlike ROMs, P-DNS can solve it by reducing the number of degrees of freedom as much as needed.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] The Pseudo-Direct Numerical Simulation Method considered as a Reduced Order Model
    Sergio R. Idelsohn
    Juan M. Gimenez
    Norberto M. Nigro
    Advanced Modeling and Simulation in Engineering Sciences, 9
  • [2] The Pseudo-Direct Numerical Simulation method for multi-scale problems in mechanics
    Idelsohn, Sergio R.
    Gimenez, Juan M.
    Nigro, Norberto M.
    Onate, Eugenio
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 380
  • [3] A data-driven memory model for solving turbulent flows with the pseudo-direct numerical simulation method
    Larreteguy, Axel E.
    Gimenez, Juan M.
    Nigro, Norberto M.
    Sivori, Francisco M.
    Idelsohn, Sergio R.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2023, 95 (01) : 44 - 80
  • [4] Hybrid pseudo-direct numerical simulation of high Rayleigh number flows up to 1011
    Alexander Nee
    Ali J. Chamkha
    Journal of Thermal Analysis and Calorimetry, 2022, 147 : 7855 - 7864
  • [5] Hybrid pseudo-direct numerical simulation of high Rayleigh number flows up to 1011
    Nee, Alexander
    Chamkha, Ali J.
    JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2022, 147 (14) : 7855 - 7864
  • [6] Analysis of turbulent flow and heat transfer in compact heat exchangers by Pseudo-Direct Numerical Simulation
    Mercier, P
    Tochon, P
    COMPACT HEAT EXCHANGERS FOR THE PROCESS INDUSTRIES, 1997, : 223 - 230
  • [7] Interaction of Radiation and Turbulent Natural Convection: A Pseudo-Direct Numerical Study
    Nee, Alexander
    Chamkha, Ali J.
    ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 2022, 14 (06) : 1567 - 1586
  • [8] A fast and efficient pseudo-direct identification method for orthotropic elastic properties of multi-layered composite plates
    Bui, T. A.
    Lardeur, P.
    Oudjene, M.
    Park, J.
    COMPOSITE STRUCTURES, 2024, 348
  • [9] An identification method with direct acquisition of reduced order model from a steplike response
    Kosaka, M
    Uda, H
    Shibata, H
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2004, 126 (04): : 746 - 752
  • [10] An identification method with direct acquisition of reduced order model from a step response
    Kosaka, M
    Uda, H
    Shibata, H
    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 1237 - 1238