Genetic Algorithm Application in Multiaxial Fatigue Criteria Computation
Author:
Affiliation:
1. Korea Institute of Machinery & Materials, 171 Jang-dong, Yusong, Taejon, 305-343, Korea
2. Ssangyoung Motor Company, 150-3, Chilgoi-dong, Pyungtaek-si, Gyeonggi-do, 459-711, Korea
Abstract
Publisher
World Scientific Pub Co Pte Lt
Subject
Condensed Matter Physics,Statistical and Nonlinear Physics
Link
https://www.worldscientific.com/doi/pdf/10.1142/S0217979203019502
Reference7 articles.
1. A Theory for the Effect of Mean Stress on Fatigue of Metals Under Combined Torsion and Axial Load or Bending
2. A GENERAL CRITERION FOR HIGH CYCLE MULTIAXIAL FATIGUE FAILURE
3. A NEW CRITERION OF FATIGUE STRENGTH OF A ROUND BAR SUBJECTED TO COMBINED STATIC AND REPEATED BENDING AND TORSION
4. CRITICAL PLANE APPROACHES IN HIGH-CYCLE FATIGUE: ON THE DEFINITION OF THE AMPLITUDE AND MEAN VALUE OF THE SHEAR STRESS ACTING ON THE CRITICAL PLANE
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1. An efficient algorithm for the solution of min-max problems in multiaxial fatigue;International Journal of Fatigue;2018-07
2. Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields;Materials and Manufacturing Processes;2009-01-23
3. Efficiency of algorithms for shear stress amplitude calculation in critical plane class fatigue criteria;Computational Materials Science;2005-12
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