Skip to main content

Research Repository

Advanced Search

Uncertainty in Engineering - Introduction to Methods and Applications

Contributors

J. De Bock
Editor

Abstract

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling.

Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.

Book Type Edited Book
Online Publication Date Dec 10, 2021
Publication Date 2022
Deposit Date Dec 15, 2021
Publisher Springer Verlag
Series Title SpringerBriefs in Statistics
ISBN 9783030836399
DOI https://doi.org/10.1007/978-3-030-83640-5
Public URL https://durham-repository.worktribe.com/output/1128309
Publisher URL https://link.springer.com/book/10.1007%2F978-3-030-83640-5
Contract Date Dec 1, 2021