Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
This paper is an attempt to formulate an estimation method which can efficiently determine the critical plane according to the criteria under consideration. It is required to maintain greater accuracy than the incremental angle methods used conventionally in critical plane searching algorithms. The...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/9879/1/Dual-Criteria%20Method%20For%20Determining%20Critical%20Plane%20Orientation%20For%20Multiaxial%20Fatigue%20Prediction%20Using%20A%20Genetic%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/9879/ http://ijame.ump.edu.my/images/Volume_11%20June%202015/35_Kamal%20and%20Rahman.pdf |
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| Summary: | This paper is an attempt to formulate an estimation method which can efficiently determine the critical plane according to the criteria under consideration. It is required to maintain greater accuracy than the incremental angle methods used conventionally in critical plane searching algorithms. The multi-criteria-based critical plane selection method is evaluated; the considered criteria include a fatigue parameter and variance of
shear stress, both maximized to find the most damaging plane. The results show that the proposed model reduces the number of iterations by 90% with greater accuracy than the
conventional methods and multiple candidate planes can easily be identified. Two or more criteria can easily be implemented in searching for the critical plane. The GAbased
critical plane location method shows promise for fatigue life estimation as it is flexible and simple to implement. |
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