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 as the global reaction force of the specimen is built. The originality of this paper is to investigate the feasibility of the resolution of this minimisation problem using the Inverse-PageRank-particle swarm optimisation (PSO) for identifying hyperelastic parameters. For that purpose, the so-called PSO technique has been enriched with a PageRank algorithm to adapt iteratively the PSO parameters. As the paper examines whether Inverse-PageRank-PSO is adapted or not to the minimisation of the objective function in the present case, only two basic hyperelastic models have been considered.

在这项研究中，有限元模型更新 (FEMU) 技术仅用于从一个异构测试中识别超弹性参数。建立考虑测量和识别的拉伸以及试样的全局反作用力的残差。本文的独创性是研究使用逆PageRank-粒子群优化（PSO）识别超弹性参数来解决这个最小化问题的可行性。为此，所谓的 PSO 技术已经通过 PageRank 算法进行了丰富，以迭代地适应 PSO 参数。当论文检查 Inverse-PageRank-PSO 是否适用于当前情况下的目标函数的最小化时，只考虑了两个基本的超弹性模型。