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131.
A high-fidelity design methodology using LES-based simulation and POD-based emulation: A case study of swirl injectors 总被引:1,自引:0,他引:1
Engineering design is undergoing a paradigm shift from design for performance to design for affordability, operability, and durability, seeking multi-objective optimization. To facilitate this transformation, significantly extended design freedom and knowledge must be available in the early design stages. This paper presents a high-fidelity framework for design and optimization of the liquid swirl injectors that are widely used in aerospace propulsion and power-generation systems. The framework assembles a set of techniques, including Design Of Experiment (DOE), high-fidelity Large Eddy Simulations (LES), machine learning, Proper Orthogonal Decomposition (POD)-based Kriging surrogate modeling (emulation), inverse problem optimization, and uncertainty quantification. LES-based simulations can reveal detailed spatiotemporal evolution of flow structures and flame dynamics in a high-fidelity manner, and identify important injector design parameters according to their effects on propellant mixing, flame stabilization, and thermal protection. For a given a space of design parameters, DOE determines the number of design points to perform LES-based simulations. POD-based emulations, trained by the LES database, can effectively explore the design space and deduce an optimal group of design parameters in a turn-around time that is reduced by three orders of magnitude. The accuracy of the emulated results is validated, and the uncertainty of prediction is quantified. The proposed design methodology is expected to profoundly extend the knowledge base and reduce the cost for initial design stages. 相似文献
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在结构的有限元分析中,不管是线性或非线性,目前广泛采用的仍然是假设位移函数,并以节点位移作为基本未知量的位移法,而广义应变法则以广义应变作为基本未知量。 相似文献
133.
针对单个摄像机的视野范围有限导致在大场景下监控效果不够理想的问题,提出了一种改进的图像拼接与目标定位算法。该算法以多个摄像机获取的具有共视区域的监控图像为基础,通过对图像进行网格划分后分别计算多个局部单应性矩阵完成初步对准,然后对网格顶点进行微调优化完成最后配准。最后对图像进行融合形成无缝、自然的大视角图像,并利用场景信息在获取的全景图像上对目标进行快速定位,以满足监控人员对场景中目标的全景捕捉分析功能。实验结果表明,该算法能显著提高大场景下图像拼接结果的质量并实现目标的快速定位。 相似文献
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Fengsi Wei Xueshang Feng Xu Ya Quanlin Fan 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2005,36(12):2363-2367
A so-called “ISF” prediction method for geomagnetic disturbances caused by solar wind storms blowing to the Earth is suggested. The method is based on a combined approach of solar activity, interplanetary scintillation (I) and geomagnetic disturbance observations during the period 1966–1982 together with the dynamics of solar wind storm propagation (S) and fuzzy mathematics (F). It has been used for prediction tests for 37 geomagnetic disturbance events during the descending solar activity phase 1984–1985, and was presented in 33rd COSPAR conference. Here, it has been improved by consideration of the three dimensional propagation characteristics of each event, the search for the best radio source and the influence of the southward components of interplanetary magnetic fields on the geomagnetic disturbances. It is used for prediction tests for 24 larger geomagnetic disturbance events that produced space anomalies during the period 1980–1999. The main results are: (1) for the onset time of the geomagnetic disturbance, the relative error between the observation, Tobs, and the prediction, Tpred, ΔTpred/Tobs 10% for 45.8% of all events, 30% for 78.3% and >30% for only 21.7%; (2) for the magnetic disturbance magnitude, the relative error between the observation, ∑Kp,obs, and the prediction, ∑Kp,pred, Δ∑Kp,pred/∑Kp,obs 10% for 41.6% of all events, 30% for 79% and 45% for 100%. This shows that the prediction method described here has encouraging prospects for improving predictions of large geomagnetic disturbances in space weather events. 相似文献
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