Open Access Journal of Engineering Applications
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Fatigue Crack Propagation

A Systematic Framework

Amara Kim Corresponding 0000-0001-8306-0488
King Abdullah University of Science and Technology
Jing Wang 0000-0003-8789-9684
Politecnico di Milano
30 Sep 2019
pp. 929-934
https://doi.org/10.55555/oajea.2019.4302.049

Abstract

Engineers designing flood forecasting must increasingly balance performance, cost and environmental impact when addressing fatigue crack propagation. Using computational fluid dynamics, the governing parameters are systematically varied to isolate their individual effects. Only 8 of the tested specimens failed to meet the target criterion. The work underscores the value of combining field measurement with rigorous modelling.
Keywords: fatigue crack propagationcomputational fluid dynamicsdeep learningsmart gridwavelet transformremote sensing

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