Bayesian Inverse Problems: Fundamentals and Engineering Applications

ISBN-13: 9781138035850 / Angielski / Twarda / 2021 / 232 str.

Juan Chiachio-Ruano; Shankar Sankararaman; Manuel Chiachio-Ruano

Opis

This book is intended to provide a bottom-up and fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications. Divided into two parts, the book covers fundamental topics about uncertainty quantification in engineering and particular engineering research applications, providing a comprehensive look at Bayesian damage assessment and prognostics in engineering.

Spis treści

Part 1 Fundamentals 1. Introduction to Bayesian Inverse Problems 2. Solving Inverse Problems by Approximate Bayesian Computation 3. Fundamentals of Sequential System Monitoring and Prognostics Methods 4. Parameter Identification Based on Conditional Expectation Part 2 Engineering Applications 5. Sparse Bayesian Learning and its Application in Bayesian System Identification 6. Ultrasonic Guided-waves Based Bayesian Damage Localisation and Optimal Sensor Configuration 7. Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups 8. A Worked-out Example of Surrogate-based Bayesian Parameter and Field Identification Methods