Efficient Finite Element Model Calibration through Polynomial Chaos Expansion

This study addresses the importance of efficient Finite Element Model (FEM) calibration through Polynomial Chaos Expansion (PCE). Despite the acknowledged significance of FEM in engineering applications, the precise calibration of these models remains challenging due to the computational burden associated with traditional methods. The current research landscape reflects a growing interest in leveraging PCE to streamline and enhance the calibration process. However, existing studies still face limitations in terms of scalability and accuracy. To address these challenges, this paper presents a novel approach that combines PCE with advanced optimization techniques to efficiently calibrate FEMs with improved accuracy and computational efficiency. The innovative methodology proposed in this work aims to overcome the existing limitations, offering a significant advancement in the field of FEM calibration.