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- Shows the reader advanced methods for tuning finite element simulations to measured data
- Features a dual use of expectation maximization and response surface methods that compensates for computational complexity
- Includes robust optimization techniques that reconcile local with global models

Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems. FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. Finite Element Model Updating Using Computational Intelligence Techniques applies both strategies to the field of structural mechanics, an area vital for aerospace, civil and mechanical engineering. Vibration data is used for the updating process. Following an introduction a number of computational intelligence techniques to facilitate the updating process are proposed; they include:

multi-layer perceptron neural networks for real-time FEM updating;

particle swarm and genetic-algorithm-based optimization methods to accommodate the demands of global versus local optimization models;

simulated annealing to put the methodologies into a sound statistical basis; and

response surface methods and expectation maximization algorithms to demonstrate how FEM updating can be performed in a cost-effective manner; and to help manage computational complexity.

Based on these methods, the most appropriate updated FEM is selected using the Bayesian approach, a problem that traditional FEM updating has not addressed. This is found to incorporate engineering judgment into finite elements systematically through the formulations of prior distributions. Throughout the text, case studies, specifically designed to demonstrate the special principles are included. These serve to test the viability of the new approaches in FEM updating. Finite Element Model Updating Using Computational Intelligence Techniques analyses the state of the art in FEM updating critically and based on these findings, identifies new research directions, making it of interest to researchers in strucural dynamics and practising engineers using FEMs. Graduate students of mechanical, aerospace and civil engineering will also find the text instructive.

Content Level Professional/practitioner

Keywords: STATISTICA - algorithm - algorithms- design - finite element method - genetic algorithms - linear optimization - mechanical engineering - optimization - simulation - vibration

 Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems. FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. Finite Element Model Updating Using Computational Intelligence Techniques applies both strategies to the field of structural mechanics, an area vital for aerospace, civil and mechanical engineering. Vibration data is used for the updating process. Following an introduction a number of computational intelligence techniques to facilitate the updating process are proposed; they include: • multi-layer perceptron neural networks for real-time FEM updating; • particle swarm and genetic-algorithm-based optimization methods to accommodate the demands of global versus local optimization models; • simulated annealing to put the methodologies into a sound statistical basis; and • response surface methods and expectation maximization algorithms to demonstrate how FEM updating can be performed in a cost-effective manner; and to help manage computational complexity. Based on these methods, the most appropriate updated FEM is selected using the Bayesian approach, a problem that traditional FEM updating has not addressed. This is found to incorporate engineering judgment into finite elements systematically through the formulations of prior distributions. Throughout the text, case studies, specifically designed to demonstrate the special principles are included. These serve to test the viability of the new approaches in FEM updating. Finite Element Model Updating Using Computational Intelligence Techniques analyses the state of the art in FEM updating critically and based on these findings, identifies new research directions, making it of interest to researchers in strucural dynamics and practising engineers using FEMs. Graduate students of mechanical, aerospace and civil engineering will also find the text instructive.

Mathematical analysis --- Engineering sciences. Technology --- eindige elementen

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Geometry --- Mathematical physics --- finite element method --- eindige elementen

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Computer science --- finite element method --- computer-aided engineering --- eindige elementen --- spreadsheets --- bouw --- CAE (computer aided engineering)

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Bent u docent in het hoger onderwijs of werktuigbouwkundige en maakt u voor het ontwerpen gebruik van het 3D CAD-pakket Autodesk Inventor? Lees dan dit boek om het maximale uit het programma te halen. Het boek is gebaseerd op release 2019, maar ook goed te gebruiken voor eerdere versies. 

Leer modelleren in Autodesk Inventor 

Aan de hand van eenvoudige voorbeelden maakt de lezer kennis met het modelleren van onderdelen, het samenstellen van die onderdelen en leert die er 2D-tekeningen aan te onttrekken. Hierna wordt het modelleren van een bankschroef behandeld. Uw studenten kunnen dan ervaren hoe het werken aan een reëel product met Autodesk Inventor verloopt. Ook het berekenen van spanningen en vervormingen met de Eindige Elementen Methode in Autodesk Inventor Professional komt aan de orde. Tevens wordt aandacht besteed aan het berekenen van vakwerken. 

Ook geschikt voor zelfstudie 

Dankzij de beproefde didactiek is het boek geschikt voor zelfstudie. Door de vele voorbeelden, oefeningen en tips leren uw studenten effectief om te gaan met Autodesk Inventor en zullen zij ideeën opdoen voor het gebruiken van Autodesk Inventor in de eigen ontwerppraktijk.

Machine elements --- Production management --- Programming --- Technical drawing --- 3D computertoepassingen --- eindige elementen --- werktuigbouwkundig ontwerpen --- Mechanical Desktop --- Inventor (informatica)

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Numerical solutions of differential equations --- Finite element method --- Computer programs --- Handbooks, manuals, etc. --- eindige elementen --- Finite element method - Handbooks, manuals, etc. --- Computer programs - Handbooks, manuals, etc.