Abstract
The principal purpose of the present investigation is to examine the ultimate shear strength (USS) of one-side corroded plates with cracks using the nonlinear finite element method (FEM). To this accomplishment, different geometrical parameters of crack position (CP), crack length (CL), pit depth (PD), pit diameter (PDM), pit position (PP), number of pits (NoP), and angle of crack (AoC), are investigated. Then, according to the provided numerical dataset, the USS of crack-pitted plates is estimated by designed artificial neural network (ANN). The numerical results indicate the highest significance of AoC (with a relative significance percentage of 21.44%) on the USS, while PDM (with a comparative significance percentage of 8.11%) has the lowest impression on the USS to shear yield strength ratio of considered plates. Moreover, the maximum mean square error (MSE) and the minimum correlation coefficient (R) of designed ANNs obtained 0.0077, and 0.8564, respectively. Also, an equation suggested estimating the USS of crack-pitted plates according to the weight and bias of designed ANNs.
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Ahmadi, F., Nowruzi, H. & Rahbar-Ranji, A. Estimation of ultimate shear strength of one-side corroded-plates cracks by FEM and ANNs. J Braz. Soc. Mech. Sci. Eng. 45, 385 (2023). https://doi.org/10.1007/s40430-023-04300-z
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DOI: https://doi.org/10.1007/s40430-023-04300-z