Uncertainty Quantification In Computational Science: Theory And Application In Fluids And Structural Mechanics

Uncertainty Quantification In Computational Science: Theory And Application In Fluids And Structural Mechanics

ISBN-10:
9814730572
ISBN-13:
9789814730570
Pub. Date:
10/03/2016
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9814730572
ISBN-13:
9789814730570
Pub. Date:
10/03/2016
Publisher:
World Scientific Publishing Company, Incorporated
Uncertainty Quantification In Computational Science: Theory And Application In Fluids And Structural Mechanics

Uncertainty Quantification In Computational Science: Theory And Application In Fluids And Structural Mechanics

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Overview

During the last decade, research in Uncertainty Quantification (UC) has received a tremendous boost, in fluid engineering and coupled structural-fluids systems. New algorithms and adaptive variants have also emerged.This timely compendium overviews in detail the current state of the art of the field, including advances in structural engineering, along with the recent focus on fluids and coupled systems. Such a strong compilation of these vibrant research areas will certainly be an inspirational reference material for the scientific community.

Product Details

ISBN-13: 9789814730570
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 10/03/2016
Pages: 196
Product dimensions: 6.10(w) x 9.10(h) x 0.70(d)

Table of Contents

Preface vii

Acknowledgements ix

In Memoriam xi

Chapter 1 Uncertainty Quantification Applied to Acroacoustics of Wall-Bounded Flows Julien Chrisiophe Marlène Sanjose Jeroen Witteveen Stéphane Moreau 1

Chapter 2 Computational Simulations of Near-Ground Sound Propagation: Uncertainty Quantification and Sensitivity Analysis Chris L. Pettit D. Keith Wilson 33

Chapter 3 Efficient Uncertainty Analysis of Radiative Heating for Planetary Entry Thomas K. West IV Serhat Hosder 63

Chapter 4 Investigation About Uncertain Met ay table Conditions in Cavitating Flows Pietro Marco Congedo Maria Giovannu Rodio Gianluca Geraci Gianluca Iaccarino Remi Abgrall 91

Chapter 5 Uncertainty Quantification in Structural Engineering: Current Status and Computational Challenges Sayan Gupta Debraj Ghosh 119

Chapter 6 Uncertainty Quantification in Aeroclastic Problems Sunetra Sarkar Harshini Devathi W. Dheelibun Remigius 151

Index 181

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