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论文类型：期刊论文

发表时间：2016-02-01

发表刊物：BUILDING AND ENVIRONMENT

收录刊物：SCIE、EI

卷号：96

页面范围：131-141

ISSN号：0360-1323

关键字：Prompt design; POD; Data samples; Interpolation; CFD; Aircraft cabin

摘要：Air supply is crucial for creating an acceptable air distribution inside aircraft cabins. To determine proper air-supply parameters, a conventional design has to solve many cases to obtain the flow patterns for each air-supply parameter, which is time-consuming. This study proposed a proper orthogonal decomposition (POD) of the flows to accelerate the design. A few original thermo-flow data samples are obtained using a full CFD simulation, and then the orthogonal spatial modes and their coefficients are extracted from these data samples. A trial and data sample increase scheme is used to determine whether the CFD-provided data samples are sufficient. A shape-preserving interpolation is applied to estimate the coefficients of the spatial modes between two neighboring data samples. With a quick map of the thermoflow fields, the proper air-supply parameters can be rapidly determined based on the specific design criteria. The proposed method was applied to determine the size of an air-supply opening in a three-dimensional aircraft cabin, with the percentage of dissatisfied (PD), the predicted mean vote (PMV) and the mean age of air as the design criteria. The results show that the POD-based design is able to construct the field data with generally good accuracy. The inversely determined air-supply opening sizes between the proposed method and the full CFD simulation are quite similar. Future research may explore a better coordination between the original data sample preparation using the full CFD simulation and the interpolation of the coefficients of the spatial modes to further reduce the computing time. (C) 2015 Elsevier Ltd. All rights reserved.