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Due to modification ease, cost, and time-saving benefits, computational-based methods through the use of Finite Element Analysis (FEA) software programs is the main approach besides physical testing (accelerated durability laboratory test, in-service drive tests) for evaluating the life of welded structures in several industries. Based on guaranteed functionality, integrity, and life cycle robustness requirements in the development of engineering products, it is of utmost importance that the structure’s damage location and life cycle magnitude are predicted to a very high degree of accuracy to avoid the severe consequential effects associated with its fatigue failure. Currently available FEA software programs for fatigue evaluation are usually associated with some degree of inaccuracies due to their underlying classical approaches for weld stress extraction. In this project, an algorithm that is based on contemporary fatigue evaluation methods and significantly improves the reliability and accuracy of the predicted fatigue life of randomly loaded welded structures will be developed.
Xihui Liang
North Forge
Engineering
Education; Management of companies and enterprises; Professional, scientific and technical services
University of Manitoba
Accelerate
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