Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

Основной контент книги Probabilistic Finite Element Model Updating Using Bayesian Statistics
Text PDF

Volume 245 pages

0+

Probabilistic Finite Element Model Updating Using Bayesian Statistics

Applications to Aeronautical and Mechanical Engineering
Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$131.60

About the book

Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering 

Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa

Sondipon Adhikari, Swansea University, UK

Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering

 

Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering.

The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling procedure. The Bayesian formulation achieves this by formulating the finite element model as the posterior distribution of the model given the measured data within the context of computational statistics and applies these in aeronautical and mechanical engineering.

Probabilistic Finite Element Model Updating Using Bayesian Statistics contains simple explanations of computational statistical techniques such as Metropolis-Hastings Algorithm, Slice sampling, Markov Chain Monte Carlo method, hybrid Monte Carlo as well as Shadow Hybrid Monte Carlo and their relevance in engineering.

Key features:

Contains several contributions in the area of model updating using Bayesian techniques which are useful for graduate students. Explains in detail the use of Bayesian techniques to quantify uncertainties in mechanical structures as well as the use of Markov Chain Monte Carlo techniques to evaluate the Bayesian formulations.

The book is essential reading for researchers, practitioners and students in mechanical and aerospace engineering.

Genres and tags

Log in, to rate the book and leave a review
Book Tshilidzi Marwala, Sondipon Adhikari et al. «Probabilistic Finite Element Model Updating Using Bayesian Statistics» — read online on the website. Leave comments and reviews, vote for your favorites.
Age restriction:
0+
Release date on Litres:
20 June 2018
Volume:
245 p.
ISBN:
9781119153009
Total size:
11 МБ
Total number of pages:
245
Publisher:
Copyright holder:
John Wiley & Sons Limited
Audio
Средний рейтинг 4,2 на основе 956 оценок
Text
Средний рейтинг 5 на основе 19 оценок
Draft
Средний рейтинг 4,6 на основе 78 оценок
Draft, audio format available
Средний рейтинг 4,7 на основе 128 оценок
Text, audio format available
Средний рейтинг 4,7 на основе 1746 оценок
Draft
Средний рейтинг 4,5 на основе 62 оценок
Draft
Средний рейтинг 4,9 на основе 341 оценок
18+
Text, audio format available
Средний рейтинг 4,8 на основе 35 оценок
Audio
Средний рейтинг 4,8 на основе 670 оценок
Text PDF
Средний рейтинг 0 на основе 0 оценок