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Finite Element Model Updating Using Computational Intelligence Techniques
Tshilidzi Marwala
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Description for Finite Element Model Updating Using Computational Intelligence Techniques
Paperback. This book details advanced methods for tuning finite element simulations to measured data. Case studies demonstrate the principles and test the viability of the approaches. Coverage also critically analyzes the state of the art in FEM updating. Num Pages: 265 pages, biography. BIC Classification: PBWH; PDE; TGB; TN; UGK; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 14. Weight in Grams: 415.
FEM updating allows FEMs to be tuned better to reflect measured data. It can be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. This book applies both strategies to the field of structural mechanics, using vibration data. Computational intelligence techniques including: multi-layer perceptron neural networks; particle swarm and GA-based optimization methods; simulated annealing; response surface methods; and expectation maximization algorithms, are proposed to facilitate the updating process. Based on these methods, the most appropriate updated FEM is selected, a problem that traditional FEM updating has not addressed. This is found to incorporate engineering judgment into ... Read more
FEM updating allows FEMs to be tuned better to reflect measured data. It can be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. This book applies both strategies to the field of structural mechanics, using vibration data. Computational intelligence techniques including: multi-layer perceptron neural networks; particle swarm and GA-based optimization methods; simulated annealing; response surface methods; and expectation maximization algorithms, are proposed to facilitate the updating process. Based on these methods, the most appropriate updated FEM is selected, a problem that traditional FEM updating has not addressed. This is found to incorporate engineering judgment into ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer London Ltd United Kingdom
Number of pages
265
Condition
New
Number of Pages
250
Place of Publication
England, United Kingdom
ISBN
9781447157168
SKU
V9781447157168
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Tshilidzi Marwala
Tshilidzi Marwala is the Executive Dean of the Faculty of Engineering and the Built Environment at the University of Johannesburg. He was previously the Adhominem Professor of Electrical Engineering as well as the Carl and Emily Fuchs Chair of Systems and Control Engineering at the University of the Witwatersrand. He is a Fellow of the Royal Society of Arts as ... Read more
Reviews for Finite Element Model Updating Using Computational Intelligence Techniques
From the reviews: “This book introduces the concepts of computational intelligence for finite-element-model updating. … This book opens new research directions in the field of computational intelligence applied in mathematical models that use finite-element updating method. I would warmly recommend this book for the under-graduated and graduated students, researchers and all the people interested in the fields of computational ... Read more