TY  - JOUR
AU  - Kim, Amara
AU  - Wang, Jing
TI  - Fatigue Crack Propagation
JO  - Open Access Journal of Engineering Applications
PY  - 2019
VL  - 43
IS  - 2
SP  - 929
EP  - 934
AB  - 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.
KW  - fatigue crack propagation
KW  - computational fluid dynamics
KW  - deep learning
KW  - smart grid
KW  - wavelet transform
KW  - remote sensing
SN  - 3105-7004
DO  - 10.55555/oajea.2019.4302.049
UR  - https://journal.bsaps.com/article/9666
ER  -