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首页> 外文期刊>Engineering computations: International journal for computer-aided engineering and software >DEDM-embedded hybrid snapshot simulation for reduced order model generation
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DEDM-embedded hybrid snapshot simulation for reduced order model generation

机译:DEDM-embedded hybrid snapshot simulation for reduced order model generation

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Purpose - The purpose of this paper is to establish an intelligent framework to generate the data representatives in snapshot simulation in order to construct the online reduced-order model based on the generated data information. It could greatly reduce the computational time in snapshot simulation and accelerate the computational efficiency in the real-time computation of reduced-order modeling. Design/methodology/approach - The snapshot simulation, which generates the data to construct reduced-order models (ROMs), usually is computationally demanding. In order to accelerate the snapshot generation, this paper presents a discrete element interpolaiton method (DEM)-embedded hybrid simulation approach, in which the entire snapshot simulation is partitioned into multiple intervals of equal length. One of the three models: the full order model (FOM), local ROM, or local ROM-DEM which represents a hierarchy of model approximations, fidelities and computational costs, will be adopted in each interval. Findings - The outcome of the proposed snapshot simulation is an efficient ROM-DEM applicable to various online simulations. Compared with the traditional FOM and the hybrid method without DEM the proposed method is able to accelerate the snapshot simulation by 54.4-63.91 and 10.5-27.85, respectively. In the online simulation, ROM-DEM only takes 4.81 -8.56 of the computational time of FOM, while preserving excellent accuracy (with relative error <1). Originality/value -1. A DEM-embedded hybrid snapshot simulation methodology is proposed to accelerate snapshot data generation and reduced-order model (ROM)-DEM development. 2. The simulation alternates among FOM, ROM and ROM-DEM to adaptively generate snapshot data of salient subspace representation while minimizing computational load. 3. The DEM-embedded hybrid snapshot approach demonstrates excellent accuracy (<1 error) and computational efficiency in both online snapshot simulation and online ROM-DEM verification simulation.

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