This study proposes an innovative one-dimensional nonlinear consolidation analysis framework by comprehensively considering continuous drainage boundary conditions and cyclic dynamic loads, more ...

Abstract: The reconstruction of the absolute conductivity distribution using electrical resistance tomography (ERT) is important, such as for the quantitative measurements of phase distribution in the ...

This work investigates the Kraenkel-Manna-Merle (KMM) system, which models the nonlinear propagation of short waves in saturated ferromagnetic materials subjected to an external magnetic field, ...

Physics informed neural networks (PINNs), a type of machine learning approach, can be used to find the solution of differential equations by including all of the physics into the loss function and ...

1 Department of Physics & Engineering Mathematics, Faculty of Engineering, Mansoura University, Mansoura, Egypt. 2 Department of Physics & Engineering Mathematics, Faculty of Engineering El-Mataria, ...