Analysis of elliptic vanes

1992 ◽  
Vol 29 (6) ◽  
pp. 993-997
Author(s):  
Vincent Silvestri ◽  
Claudette Tabib
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Theoretical Analysis ◽  
Key Words ◽  
Field Investigation ◽  
Technical Note ◽  
Shear Stress Distribution ◽  
Stress Distributions ◽  
Distribution Field

This technical note presents the results of a theoretical analysis of smooth elliptic vanes. Uniform and triangular shear stress distributions are used to obtain geometric vane factors. A preliminary field investigation has been carried out by means of two elliptic vanes. Key words : vanes, elliptic shapes, uniform, triangular, shear stress distribution, field investigation.

Evaluation of the Effect of Stent Strut Profile on Shear Stress Distribution

2007 ◽  
Author(s):  
Bilal Ruzzeh ◽  
Rosaire Mongrain ◽  
Richard Leask ◽  
Olivier Bertrand
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Performance Metrics ◽  
Shear Stress Distribution ◽  
Stress Distributions ◽  
Cross Sectional ◽  
Specific Performance ◽  
Stent Strut ◽  
The Impact ◽  
Flow Study

In this work, we present a 2D numerical flow study to analyze the impact of different stent strut profiles on the shear stress distribution for stented coronary arteries. In that context, five cross-sectional profiles were considered: square, circular, elliptical, and a two tear-drop shapes. Specific performance metrics based on the statistical moments were developed to assess the variation of shear stress distributions along the wall with respected to a normal reference condition (non-stented segment). The results show that stent strut profile significantly affects the shear stress distribution along the wall. It also demonstrate that more streamline profiles such as the tear-drop and elliptical profiles exhibit better performance than the standard square and circular profiles for shear stress.

scholarly journals Modelling boundary shear stress distribution in open channels using a face recognition technique

2016 ◽  
Vol 19 (2) ◽  
pp. 157-172 ◽  
Author(s):  
Pedro Martinez-Vazquez ◽  
Soroosh Sharifi
Keyword(s):  
Shear Stress ◽  
Face Recognition ◽  
Stress Distribution ◽  
Shear Stress Distribution ◽  
Open Channels ◽  
Stress Distributions ◽  
Boundary Shear ◽  
Boundary Shear Stress ◽  
Mean Square Errors ◽  
Recognition Technique

This paper describes a novel application of a pattern recognition technique for predicting boundary shear stress distribution in open channels. In this approach, a synthetic database of images representing normalized shear stress distributions is formed from a training data set using recurrence plot (RP) analysis. The face recognition algorithm is then employed to synthesize the RPs and transform the original database into short-dimension vectors containing similarity weights proportional to the principal components of the distribution of images. These vectors capture the intrinsic properties of the boundary shear stress distribution of the cases in the training set, and are sensitive to variations of the corresponding hydraulic parameters. The process of transforming one-dimensional data series into vectors of weights is invertible, and therefore, shear stress distributions for unseen cases can be predicted. The developed method is applied to predict boundary shear stress distributions in smooth trapezoidal and circular channels and the results show a cross correlation coefficient above 92%, mean square errors within 0.04% and 4.48%, respectively, and average shear stress fluctuations within 2% and 5%, respectively, thus indicating that the proposed method is capable of providing accurate estimations of the boundary shear stress distribution in open channels.

scholarly journals Fem Analysis and Comparison of Single Fiber Pull-Out Tests

1997 ◽  
Vol 6 (4) ◽  
pp. 096369359700600 ◽  
Author(s):  
S. Feih ◽  
P. Schwartz
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Fem Analysis ◽  
Shear Stress Distribution ◽  
Single Fiber ◽  
Stress Distributions ◽  
Fiber Coating ◽  
Uniform Shear ◽  
Pull Out ◽  
Microbond Test

This work analyses the stress distributions during the pull-out test and the microbond test by FEA. Both tests are found to lead to the same results. The simulation result predicts the in praxis calculated IFSS value. Fiber coating leads to a more uniform shear stress distribution.

scholarly journals Assessing Machine Learning versus a Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 596
Author(s):  
Babak Lashkar-Ara ◽  
Niloofar Kalantari ◽  
Zohreh Sheikh Khozani ◽  
Amir Mosavi
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Fuzzy Inference ◽  
Rectangular Channel ◽  
Tsallis Entropy ◽  
Shear Stress Distribution ◽  
Data Series ◽  
Shear Stresses ◽  
Inference System ◽  
Aspect Ratios

One of the most important subjects of hydraulic engineering is the reliable estimation of the transverse distribution in the rectangular channel of bed and wall shear stresses. This study makes use of the Tsallis entropy, genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS) methods to assess the shear stress distribution (SSD) in the rectangular channel. To evaluate the results of the Tsallis entropy, GP and ANFIS models, laboratory observations were used in which shear stress was measured using an optimized Preston tube. This is then used to measure the SSD in various aspect ratios in the rectangular channel. To investigate the shear stress percentage, 10 data series with a total of 112 different data for were used. The results of the sensitivity analysis show that the most influential parameter for the SSD in smooth rectangular channel is the dimensionless parameter B/H, Where the transverse coordinate is B, and the flow depth is H. With the parameters (b/B), (B/H) for the bed and (z/H), (B/H) for the wall as inputs, the modeling of the GP was better than the other one. Based on the analysis, it can be concluded that the use of GP and ANFIS algorithms is more effective in estimating shear stress in smooth rectangular channels than the Tsallis entropy-based equations.

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