Open access
Aug 2026
A Hydraulically Informed ANN Surrogate Framework for Nonlinear Open-Channel Flow Analysis
Open-channel hydraulic analysis often requires repeated solution of implicit nonlinear equations and numerical integration of gradually varied flow (GVF), which can become computationally demanding in inverse, optimization, and sensitivity applications. This study develops a hydraulically informed artificial neural net...
A. Tawfik, Mohamed H. Elgamal
· Water · 0 citations