Co-Simulation Interface Model Reduction for Large-Scale Coupled Simulations

被引:0
|
作者
Peeters, Jari [1 ,2 ]
Vermaut, Martijn [1 ,2 ]
Vanpaemel, Simon [1 ,2 ]
Naets, Frank [1 ,2 ]
机构
[1] Katholieke Univ Leuven, Dept Mech Engn, LMSD, Heverlee, Belgium
[2] Flanders Make KU Leuven, E2E Lab, Heverlee, Belgium
关键词
co-simulation; FNCF; functional mock-up interface; GCMS; model order reduction; FLUID-STRUCTURE INTERACTION; OPTIMAL SENSOR PLACEMENT; MODAL IDENTIFICATION;
D O I
10.1002/nme.7626
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The paper presents a novel approach for reducing the co-simulation interface representation between multiple large-scale models. The methodology leverages model order reduction through component mode synthesis in some specific small deformation flexible multibody formulations that yield a constant transformation matrix between Cartesian coordinates and general multibody coordinates, such as the flexible natural coordinates formulation or the generalized component mode synthesis. The constant transformation matrix stemming from these techniques is further modified using modified Gram-Schmidt orthonormalization and the effective independence methodology to create a constant interface model reduction matrix. This matrix effectively connects a minimal set of interface nodes to the entire nodal domain, while simultaneously projecting the forces acting on the entire nodal domain onto the interface nodes. Notably, the proposed methodology scales the size of the required co-simulation interface representation with the considered set of mode shapes rather than the size of the numerical finite element mesh. This co-simulation interface model reduction strategy not only renders large distributed load models compatible with the Functional Mock-Up Interface but also extends its applicability to any structural model beyond the flexible multibody scope, provided that deformations remain relatively small. Numerical validation with a simply supported beam, connected to springs at each node, demonstrates that the interface model reduction error is significantly smaller than the co-simulation error. This suggests that substantial interface model reduction can be achieved without compromising accuracy. Moreover, additional numerical validation performed with a rotor-drum model showcases the versatility and scalability of the proposed approach, particularly in addressing dynamic structural systems.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] A REST based co-simulation interface for distributed simulations
    Vogt, Mike
    Marten, Frank
    Montoya, Juan
    Ttibermann, Christian
    Braun, Martin
    2019 IEEE MILAN POWERTECH, 2019,
  • [2] Interface Jacobian-based Co-Simulation
    Sicklinger, S.
    Belsky, V.
    Engelmann, B.
    Elmqvist, H.
    Olsson, H.
    Wuechner, R.
    Bletzinger, K. -U.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2014, 98 (06) : 418 - 444
  • [4] Explicit co-simulation with interface Jacobian approximation
    Pu Li
    Qi Yuan
    Journal of Mechanical Science and Technology, 2022, 36 : 1103 - 1112
  • [5] Explicit co-simulation with interface Jacobian approximation
    Li, Pu
    Yuan, Qi
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2022, 36 (03) : 1103 - 1112
  • [6] ERROR ANALYSIS AND ERROR ESTIMATES FOR CO-SIMULATION IN FMI FOR MODEL EXCHANGE AND CO-SIMULATION V2.0
    Arnold, Martin
    Clauss, Christoph
    Schierz, Tom
    ARCHIVE OF MECHANICAL ENGINEERING, 2013, 60 (01) : 75 - 94
  • [7] A Categorical Model of Process Co-Simulation
    Craciunean, Daniel-Cristian
    Karagiannis, Dimitris
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (03) : 430 - 438
  • [8] A "Plug-n-Play" Computationally Efficient Approach for Control Design of Large-Scale Nonlinear Systems using co-Simulation
    Baldi, Simone
    Michailidis, Iakovos
    Jula, Hossein
    Kosmatopoulos, Elias B.
    Ioannou, Petros A.
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 436 - 441
  • [9] A Co-Simulation Interface for Cyber-Physical Systems
    Zhang, Yu
    Dong, Yunwei
    Feng, Wenlong
    Huang, Mengxing
    2016 13TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS) - PROCEEDINGS, 2016, : 176 - 181
  • [10] Design and Research on Co-simulation Training System of Large-Scale Power Grid with Distribution Network Based on Intelligent Materials System
    Mei, BaiShan
    Zhang, XiPing
    Xu, Jie
    Xing, YueHong
    ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT IV, 2011, 217 : 93 - +