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- 저자 : Gaoming Yu (검색결과 2 건)
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Jing Cao,Hui Zhao,Gaoming Yu 한국자원공학회 2016 Geosystem engineering Vol.19 No.6
Reservoir simulation of realistic reservoir can be computationally demanding because of the large number of system unknowns. Model order reduction (MOR) technique represents a promising approach for accelerating the simulations. In this work, we focus on the application of a MOR technique called Krylov-enhanced proper orthogonal decomposition (KPOD), which combines the moment-matching property of Arnoldi with data generalization ability of proper orthogonal decomposition (POD) to alleviate POD’s dependence on the choice of snapshots and the particular input conditions. We apply KPOD and POD methods for a two-phase (oil–water) reservoir model which is solved by semi-implicit Euler discretization and consider two different scenarios to evaluate the predictive capability of POD and KPOD methods. The example demonstrates that even though the difference of inputs of testing and training process is larger, the results of KPOD are in close agreement with the full-order simulation, while the accuracy of POD becomes very poor. And because the number of base vector for KPOD is less, the KPOD is able to approximately reduce the simulation time by 3 times compared with the full-order reservoir model. The KPOD method outperforms POD method in computational efficiency and accuracy.
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Xiaoying Li,Shuang Yu,Pibo Ma,Gaoming Jiang,Honglian Cong 한국섬유공학회 2019 Fibers and polymers Vol.20 No.9
In order to study the compression property of curved three-dimensional(3D) flat-knitted spacer fabric compositesand to provide experimental data for the study of subsequent low speed impact and residual strength, 3D flat-knitted spacerfabrics were knitted into flat and curvilinear shapes, then 3D flat-knitted spacer fabric composites curved in different angleswere developed. Compression tests on various curvilinear composites were carried out using the universal material testingmachine after which stress-strain curves are compared. The results revealed that when other experimental conditions are thesame, the coursewise compression peak was significantly higher than waleswise, and compression peak also graduallyincreased with the increase of curvature, no matter the surface of 3D spacer fabric reinforced composites is flat or curvilinear. This research will lay the foundation for the further mechanical property study of curved 3D spacer fabric composites.
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