Wavelet Multi-Resolution Analysis of Coherent Structure in a Jet Issuing From Rotating Circular Pipe With Inclined Section

Author(s):  
Masahiro Nakashima ◽  
Hui Li ◽  
Takahide Tabata ◽  
Tsutomu Nozaki

The flow feature of the jet issuing from the circular pipe with the rotating inclined section has been investigated by the method of the flow visualization and the image processing. It has been found that the jet diffusion is affected by the inclined angle and the rotating speed. The coherent structure of the jet has been also studied by using the wavelet multi-resolution analysis. The multi-scale turbulent structures were visualized and the core and edge of the vortex were identified at different broad scales.

Author(s):  
MASAHIRO NAKASHIMA ◽  
AKIRA (HUI LI) RINOSHIKA ◽  
TAKAHIDE TABATA ◽  
TSUTOMU NOZAKI

The flow feature of the jet issuing from the circular pipe with the rotating inclined section has been investigated by the methods of flow visualization and image processing. It has been found that the jet diffusion is affected by the inclined angle and the rotating speed. The coherent structure of the jet has also been studied by using wavelet multiresolution analysis. The multiscale turbulent structures were visualized and the core and edge of the vortex were identified at different broad scales.


Author(s):  
Masahiro Nakashima ◽  
Takahide Tabata ◽  
Hui Li ◽  
Tsutomu Nozaki

The water jet flow issuing from the rotating circular pipe with the inclined section has been studied by the method of the flow visualization and the wavelet multi-resolution method. Three-dimensional views of large-scale structure in the jet cross-section were constructed by applying a volume rendering method to the images of the sum of wavelet levels 1 and 2 in layers in the wavelet multi-resolution analysis. In order to clarify the change with the time of the jet diffusion, the large-scale structure has been investigated in the cases of various inclined angles of the section and rotating speeds of the pipe. As a result, it has been found that the jet diffusion is affected by the inclined angle and the rotating speed of the pipe.


Author(s):  
Hui Li ◽  
Hui Hu ◽  
Toshio Kobayashi ◽  
Tetsuo Saga ◽  
Nobuyuki Taniguchi

The orthogonal multi-resolution analysis was applied to the digital imaging photographs of lobed mixing jets for revealing the time varying turbulent structures of various scales. The image components of five different broad scales are obtained, and each image components can provide information on the multi-scale turbulent structures. The complex vortical structures of various scales were clearly extracted and visualized at different instances.


Author(s):  
Masahiro Nakashima ◽  
Hui Li ◽  
Takahide Tabata ◽  
Tsutomu Nozaki

The water jet flow issuing from the rotating circular pipe with the inclined section has been studied by the method of the flow visualization and the image processing. The velocity distributions and the width of the jet have been measured in the cases of various inclined angles of the section and rotating speeds of the pipe. The effects of these variables on the jet diffusion have been clarified by measuring the jet width obtained from the superimposed images in the plane normal to the jet flow. As a result, it has been found that the jet diffusion is affected by the inclined angle and the rotating speed of the pipe. Furthermore, it has been clarified that there exists the rotating speed showing the effects of the rotating inclined section remarkably.


2017 ◽  
Vol 20 (8) ◽  
pp. 1185-1195 ◽  
Author(s):  
Wen-Yu He ◽  
Songye Zhu ◽  
Zhi-Wei Chen

Wavelet techniques enable multi-resolution analysis that can represent a function (either field or signal function) in a multi-scale manner. This article presents a damage detection method with dynamically changed scales in both temporal and spatial domains, by taking advantage of the wavelet-based multi-resolution analysis. This method combines a wavelet-based finite element model (WFEM) that employs B-spline wavelet as shape functions and wavelet-based modal identification method to detect structural damage progressively. High-fidelity modal information can be computed or identified with minimized computation cost by lifting the wavelet scales in the wavelet-based finite element model and in signal processing individually according to the actual requirements. Numerical examples demonstrate that the accuracy of damage detection is improved considerably by this lifting strategy during the damage detection process. Besides, fewer degrees of freedom are involved in the wavelet-based finite element model than those of traditional finite element method. The computational efficiency can be improved to large extent and computation resources can be utilized more rationally using the proposed multi-scale approach.


2014 ◽  
Vol 1044-1045 ◽  
pp. 1173-1177
Author(s):  
Yu Kun Zhang ◽  
Shu He ◽  
Yong Jun Cheng

Contourlet transform is a new multi-scale, multi-resolution analysis tool. This paper studied on the theory of Contourlet transform.,According to the practical application requirements of characteristics of data, much details in complex images it propose a novel image fusion method of remote sensing images based on contourlet Coefficients correlativity of directional region. Besides improving fused images spatial resolution, our method can better preserve original multi-spectral image’s color information.Extensive experimental results show that the proposed method is superior to conventional methods in terms of entropy, joint entropy, and average gradient. It can enhance the spatial resolution of target images. Meanwhile, it well preserves the color information of multi-spectral images.


2014 ◽  
Vol 11 (7) ◽  
pp. 8995-9026
Author(s):  
C.-H. Su ◽  
D. Ryu

Abstract. Remote sensing, in situ networks and models are now providing unprecedented information for environmental monitoring. To conjunctively use multi-source data nominally representing an identical variable, one must resolve biases existing between these disparate sources, and the characteristics of the biases can be non-trivial due to spatiotemporal variability of the target variable, inter-sensor differences with variable measurement supports. One such example is of soil moisture (SM) monitoring. Triple collocation (TC) based bias correction is a powerful statistical method that increasingly being used to address this issue but is only applicable to the linear regime, whereas nonlinear method of statistical moment matching is susceptible to unintended biases originating from measurement error. Since different physical processes that influence SM dynamics may be distinguishable by their characteristic spatiotemporal scales, we propose a multi-time-scale linear bias model in the framework of a wavelet-based multi-resolution analysis (MRA). The joint MRA-TC analysis was applied to demonstrate scale-dependent biases between in situ, remotely-sensed and modelled SM, the influence of various prospective bias correction schemes on these biases, and lastly to enable multi-scale bias correction and data adaptive, nonlinear de-noising via wavelet thresholding.


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