
International journal of mechanical system dynamics, Journal Year: 2025, Volume and Issue: unknown
Published: May 13, 2025
ABSTRACT Health monitoring and damage detection for important special infrastructures, especially marine structures, are one of the challenges in structural engineering because they subjected to corrosion hydrodynamic loads. Simulation structures under hydraulic loads is complex; thus, a combination point cloud data sets, validation finite element model, parametric studies, machine‐learning methods was used this study estimate damaged surface retaining reinforced concrete walls (RRCWs) load‐carrying capacity RRCWs according design parameters RRCWs. After method (FEM), 144 specimens were simulated using FEM obtained displacement‐control loading. Compressive strength, thickness RRCWs, strength reinforcement bars, ratio bars considered as parameters. The results show that has most effect on decreasing capacity. Furthermore, demonstrate Gene Expression Programming (GEP) performs better than all models can predict with 99% 97% accuracy, respectively. Moreover, by reduced 2.5%, increasing thickness, increased 51%–59%.
Language: Английский