This paper introduces a two-level network method to model the flow characteristics of pollutant diffusion. The proposed method in this study demonstrates a significant enhancement in flow field prediction accuracy compared to traditional deep learning methods. Moreover, it improves computational efficiency...
In the first step, datasets of flow fields are generated using a CFD-code. Subsequently the neural networks are trained on defined portions of these datasets. Finally, the trained neural networks are applied on the remaining unknown geometries and the prediction accuracy is evaluated. Dataset ...
Fast flow field prediction approach of supersonic inlet in wide operating range based on deep learning For these, a fast flow field prediction model based on deep learning is proposed for the supersonic inlet in a wide operation range. To establish the ... J Zhong,F Qu,D Sun,... - 《...
Fast estimation method for the urban instantaneous airflow field was proposed.Generative adversarial networks (GANs) with sensors' information were employed.Estimation of the instantaneous velocity field in an urban model was conducted.GAN with conditional constraints successfully estimated the velocity field...
Thermal engineering related to industrial applications needs fast and accurate prediction for complex heat transfer problems. Proper orthogonal decomposition (POD) method can achieve this target. In this paper, the performances of POD interpolation and POD projection methods are compared for the purpose ...
Tsunami prediction Usually, such finite-fault models produce good fits to observed tsunami waveforms, with only minor adjustments6,16,18,19. We model the tsunami observations using the non-hydrostatic code NEOWAVE20,21 with excitation from the seafloor motions (Fig. 3b) for the preferred two-faul...
Fast two-dimensional stratified flow over several obstacles is considered, in particular over thin wings. The problem is reduced to a linear boundary-value problem by a nonlinear substitution. The linear problem is studied by potential theory. The solution of the nonlinear problem is obtained. 关键...
Prediction of reservoir fracture is the key to explore fracture-type reservoir. When a shear-wave propagates in anisotropic media containing fracture,it sp... Y Zhou,X Feng,Enhedelihai,... - 《Global Geology》 被引量: 9发表: 2015年 Characterization of aggregate structure in mercerized cellulos...
The conductive component has at least one conductive surface (20) which affects the flow. The conductive surface (20) is at least partly formed by a wall o... H Peter 被引量: 2发表: 1997年 A reduced order model for fast prediction of field drift based on validated CFD simulations nozzle...
Rapid inference for penetration prediction of plasma arc welding using enhanced ShuffleNetV2 and FOS-ELM Instead, we utilize convolutional neural network (CNN) backbones for improved real-time performance. After evaluating six classical CNNs, we selected the ... Zeng, Zhi,Yang, Yuancheng,Yuan, Jun...