Shear stress distribution of unbonded reinforced elastomeric bearings after lift-off occurs

2021 ◽  
Vol 239 ◽  
pp. 112059
Author(s):  
Junfu Bai ◽  
Niel C. Van Engelen ◽  
Shaohong Cheng
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Shear Stress Distribution ◽  
Elastomeric Bearings ◽  
Lift Off

The Analysis of Multilayer Elastomeric Bearings

1984 ◽  
Vol 51 (2) ◽  
pp. 256-262 ◽  
Author(s):  
J. C. Simo ◽  
J. M. Kelly
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Order Approximation ◽  
Shear Stress Distribution ◽  
Thin Plates ◽  
Equilibrium Equations ◽  
Elastomeric Bearings ◽  
Elastomeric Bearing ◽  
Flexible Plates ◽  
Nonlinear Equilibrium

When a multilayer elastomeric bearing is sheared by end loads, the top and bottom surfaces of a typical plate are subjected to a shear stress distribution which causes bending of the plate. A new approach to the analysis of these bearings is presented which systematically takes into account the flexibility and subsequent warping of the plates. First, the displacement field of the bearing and the shear stress distribution are derived, within the framework of classical linear elasticity, from compatibility conditions between rubber pad and steel plate. Next, use of a second-order approximation to the nonlinear equilibrium equations leads to a new expression for the critical load of the bearing which depends on the bending stiffness of the plate. Under the assumption of perfectly rigid plates, this expression is in agreement with previous formulations. For flexible plates, however, the proposed expression shows that previous formulations lead to an overestimate of the buckling load which might become important for extremely thin plates and low values of the shear modulus of the rubber.

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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