scholarly journals Shape Optimization for Prolonging Fatigue Life.

2002 ◽  
Vol 45 (2) ◽  
pp. 298-304 ◽  
Author(s):  
Seog-Young HAN ◽  
Jang-Keun LIM
Keyword(s):  
Fatigue Life ◽  
Shape Optimization

Local Shape Optimization of Notches in Airframe for Fatigue-Life Extension

2008 ◽  
Vol 32 (12) ◽  
pp. 1132-1139 ◽  
Author(s):  
Jun-Ho Won ◽  
Joo-Ho Choi ◽  
Jin-Hyuk Gang ◽  
Da-Wn An ◽  
Gi-Jun Yoon
Keyword(s):  
Fatigue Life ◽  
Shape Optimization ◽  
Life Extension ◽  
Local Shape

Shape Optimization of a Small Bus Steering Knuckle Considering a Fatigue Load

2013 ◽  
Vol 740 ◽  
pp. 319-322 ◽  
Author(s):  
Young Choon Lee ◽  
Nam Jin Jeon ◽  
Cheol Kim ◽  
Seo Yeon Ahn ◽  
Myung Jae Cho
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Fatigue Life ◽  
Fatigue Strength ◽  
Shape Optimization ◽  
Minimum Weight ◽  
Cyclic Fatigue ◽  
Fatigue Load ◽  
Element Analysis ◽  
Gradient Based

Finite element analysis was accomplished for a steering knuckle component of a small bus to see whether the static and fatigue strength requirements were satisfied or not. The knuckle was modeled with ANSYS 10-node quadratic elements. The cyclic fatigue load was applied and Soderberg criteria were applied to check the fatigue life. The knuckle structure has an infinite life (10-6 cycle) judging from the fatigue analyses. Shape optimization based on the gradient based method has been performed in order to find out the knuckle shape that has a minimum weight and satisfies the static and fatigue strength requirements. As a result of shape optimization, the weight of the steering knuckle was reduced 8%.

Metamodel-Based Shape Optimization of Connecting Rod Considering Fatigue Life

2006 ◽  
Vol 306-308 ◽  
pp. 211-216 ◽  
Author(s):  
Tae Hee Lee ◽  
J.J. Jung
Keyword(s):  
Fatigue Life ◽  
Shape Optimization ◽  
Design Optimization ◽  
Fatigue Analysis ◽  
Connecting Rod ◽  
Kriging Metamodel ◽  
Classical Optimization

To optimize a connecting rod satisfying fatigue life, metamodel-based design optimization is proposed. To approximately predict both volume and fatigue life of connecting rod, kriging metamodel is constructed based on maximin eigenvalue sampling. Fatigue analysis is accomplished for the calculation of fatigue life. The results of metamodel-based design optimization are compared with those of classical optimization. The advantages of metamodel-based optimization are discussed.

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