Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/13924
Title: AN EFFICIENT FRAMEWORK FOR FINITE ELEMENT MODEL UPDATING
Authors: Mourya, Umeshkumar Toulanprasad
Keywords: Finite Element Model
Complex Structural Engineering
Blind Kriging
Meta-Modelling
Genetic Algorithm
Civil Engineering
Issue Date: 2016
Publisher: CIVIL ENGINEERING, IIT ROORKEE
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.
URI: http://hdl.handle.net/123456789/13924
Appears in Collections:MASTERS' DISSERTATIONS (Civil Engg)

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