Multi-Objective Optimization Based on Kriging Surrogate Model and Genetic Algorithm for Stiffened Panel Collapse Assessment

A hyperparameter-optimized Kriging surrogate model was developed for the structural collapse behavior framework presented in this paper. The assessment is conducted on a stiffened panel subject to axial load and lateral pressure, typical of the deck structure of a bulk carrier ship. This behavior is...

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Veröffentlicht in:	Applied Mechanics Jg. 6; H. 2; S. 34
Hauptverfasser:	Lima, João Paulo Silva, Vieira, Raí Lima, dos Santos, Elizaldo Domingues, Rocha, Luiz Alberto Oliveira, Isoldi, Liércio André
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Zwijnaarde MDPI AG 30.04.2025
Schlagworte:	Accuracy Boundary conditions Efficiency genetic algorithm Genetic algorithms Kriging multi-objective optimization nonlinear finite element analysis Optimization Residual stress Simulation stiffened panels Strain hardening Support vector machines
ISSN:	2673-3161, 2673-3161
Online-Zugang:	Volltext
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