AN EFFICIENT FRAMEWORK FOR FINITE ELEMENT MODEL UPDATING

Abstract

A reliable finite element model is important for the design and analysis of complex structural engineering systems. The finite element model may not accurately predict the dynamic responses of the real life systems which they represent. This necessitates the use of finite element model updating to improve the performance of the finite element models. The objective of this project is to develop an efficient finite element model updating technique employing meta-models and optimization techniques. One such technique is developed in this report using Blind Kriging for meta-modelling and Genetic Algorithm for optimization. This report presents the methodology developed for this technique. The developed method is applied and tested on simple structural engineering problems for effectiveness and efficiency. The results and conclusion regarding the same are also presented.