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
  • [31] Fully coupled co-simulation of a wind turbine emergency brake maneuver
    Sicklinger, Stefan
    Lerch, Christopher
    Wuechner, Roland
    Bletzinger, Kai-Uwe
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2015, 144 : 134 - 145
  • [32] Simulator Coupled with Distributed Co-Simulation Protocol for Automated Driving Tests
    Max-Arno Meyer
    Lina Sauter
    Christian Granrath
    Hassen Hadj-Amor
    Jakob Andert
    Automotive Innovation, 2021, 4 : 373 - 389
  • [33] An improved whale optimization algorithm for the model order reduction of large-scale systems
    Dasu Butti
    Sivakumar Mangipudi
    Srinivasarao Rayapudi
    Madhu Kiran Buddi
    Kalyan Raj Kaniganti
    Trinayani Chittajallu
    Bhavana Rushi Dontu
    Vijay Arun Dunna
    RamaKrishna Boni
    Chenchu Kishore Kumar Kothuri
    Journal of Electrical Systems and Information Technology, 10 (1)
  • [34] A real-time co-simulation of PV power generation system using transmission line model interface
    Bai, Hao
    Tang, Xueyong
    Pan, Shuhui
    Chen, Julong
    Zhou, Changcheng
    Deng, Pu
    Yuan, Zhiyong
    Li, Qingsheng
    ENERGY REPORTS, 2022, 8 : 196 - 204
  • [35] Numerically robust co-simulation using transmission line modeling and the Functional Mock-up Interface
    Braun, Robert
    Fritzson, Dag
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2022, 98 (11): : 1057 - 1070
  • [36] Co-Simulation of PV Systems based on Simulink-PSpice (SLPS) Interface
    Salam, Z.
    Ramli, M. Z.
    Hashim, Norazlan
    2019 IEEE CONFERENCE ON ENERGY CONVERSION (CENCON), 2019, : 79 - 83
  • [37] Model-Based Configuration of Automotive Co-Simulation Scenarios
    Krammer, Martin
    Fritz, Johannes
    Karner, Michael
    48TH ANNUAL SIMULATION SYMPOSIUM (ANSS 2015), 2015, : 155 - 162
  • [38] Co-simulation of a Model Predictive Control System for Automotive Applications
    Bernardeschi, Cinzia
    Dini, Pierpaolo
    Domenici, Andrea
    Mouhagir, Ayoub
    Palmieri, Maurizio
    Saponara, Sergio
    Sassolas, Tanguy
    Zaourar, Lilia
    SOFTWARE ENGINEERING AND FORMAL METHODS: SEFM 2021 COLLOCATED WORKSHOPS, 2022, 13230 : 204 - 220
  • [39] Co-simulation of dynamic systems in parallel and serial model configurations
    Sweafford, Trevor
    Yoon, Hwan-Sik
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2013, 27 (12) : 3579 - 3587
  • [40] Co-Simulation of Distributed Engine Control System and Network Model using FMI & SCNSL
    Pedersen, Nicolai
    Madsen, Jan
    Vejlgaard-Laursen, Morten
    IFAC PAPERSONLINE, 2015, 48 (16): : 261 - 266