Inverse-Pagerank-particle swarm optimisation for inverse identification of hyperelastic models: a feasibility study

In this study, the Finite-Element Model Updating (FEMU) technique is used to identify hyperelastic parameters from only one heterogeneous test. A residual considering measured and identified stretches as well global reaction force of specimen built. The originality paper investigate feasibility resolution minimisation problem using Inverse-PageRank-particle swarm optimisation (PSO) for identifying parameters. For that purpose, so-called PSO has been enriched with a PageRank algorithm adapt iteratively As examines whether Inverse-PageRank-PSO adapted or not objective function in present case, two basic models have considered.