Finite Element Model Updating Using Computational Intelligence Techniques

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FEM updating enhances finite element models to align with measured data, employing both maximum likelihood and Bayesian statistical frameworks. The book explores the application of various computational intelligence techniques, such as neural networks and optimization methods, to streamline the updating process. It emphasizes selecting the most suitable updated FEM, integrating engineering judgment into the models. Through case studies, it validates these approaches and critically examines current practices, highlighting new research opportunities in FEM updating.