On the shear stress distribution between a functionally graded piezoelectric actuator and an elastic substrate and the reduction of its concentration

2008 ◽  
Vol 55 (11) ◽  
pp. 2360-2362 ◽  
Author(s):  
Jiashi Yang ◽  
Zhihe Jin ◽  
Jiangyu Li
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Piezoelectric Actuator ◽  
Functionally Graded ◽  
Shear Stress Distribution ◽  
Elastic Substrate ◽  
Functionally Graded Piezoelectric

High Durability of Functionally Graded Piezoelectric Bending Actuators

2001 ◽  
Author(s):  
Jinhao Qiu ◽  
Junji Tani ◽  
Teppei Morita ◽  
Hirofumi Takahashi
Keyword(s):  
Stress Distribution ◽  
Piezoelectric Actuator ◽  
Piezoelectric Actuators ◽  
Functionally Graded ◽  
High Durability ◽  
Bending Actuator ◽  
New Type ◽  
Simulation Results ◽  
Functionally Graded Piezoelectric ◽  
Stress Discontinuity

Abstract A new type of functionally graded (FG) piezoelectric bending actuator was proposed by the authors in the former study and the advantage of the new actuator over the traditional bimorph and unimorph actuators in internal stress distribution was illustrated by simulation results. In this study, functionally graded piezoelectric bending actuator was designed and fabricated. The material compositions with different dielectric and piezoelectric constants were selected from the Pb(Ni1/3Nb2/3)O3-PbZrO3-PbTiO3 (PNN-PZ-PT) family and used as the four layers in the new FG piezoelectric actuator. The piezoelectric constant and dielectric constant were graded oppositely in the thickness direction. Stress distribution of the FG piezoelectric actuator under external voltage was analyzed using finite element method (FEM) and the simulation results showed the stress discontinuity of the new actuator is smaller than that of traditional bimorph actuator. Durability of the fabricated FG piezoelectric actuators was measured in a vibration test and compared with that of the traditional bimorph actuator to evaluate the improvement of performance. The results showed that the durability of the FG piezoelectric actuators is much higher than that of the bimorph actuator.

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.

scholarly journals Wall Shear Stress Distribution of Small Aneurysms Prone to Rupture

Stroke ◽  
2014 ◽  
Vol 45 (1) ◽  
pp. 261-264 ◽  
Author(s):  
Vitor Mendes Pereira ◽  
Olivier Brina ◽  
Philippe Bijlenga ◽  
Pierre Bouillot ◽  
Ana Paula Narata ◽  
...  
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Wall Shear Stress ◽  
Shear Stress Distribution ◽  
Wall Shear Stress Distribution ◽  
Wall Shear ◽  
Small Aneurysms
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