Advances in uncertainty quantification and optimization under uncertainty with aerospace applications proceedings of the 2020 UQOP International Conference Massimiliano Vasile, Domenico Quagliarella, editors

Format:

Book

Conference/Event

Contributor:

Vasile, Massimiliano, editor.

Quagliarella, D., editor.

Conference Name:

International Conference on Uncertainty Quantification & Optimisation (2020 : Online) http://viaf.org/viaf/16164838352912770780

Series:

Space technology proceedings v. 8

Space technology proceedings volume 8

Language:

English

Subjects (All):

Aeronautics--Statistical methods--Congresses.

Aeronautics.

Measurement uncertainty (Statistics)--Congresses.

Measurement uncertainty (Statistics).

Mathematical optimization--Congresses.

Mathematical optimization.

Genre:

proceedings (reports)

Conference papers and proceedings

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2021]

System Details:

text file

Summary:

The 2020 International Conference on Uncertainty Quantification and Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace and Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework

Contents:

Chapter 1. Cloud Uncertainty Quantification for Runback Ice Formations in Anti-Ice Electro-Thermal Ice Protection Systems

Chapter 2. Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty using Far-Field Drag Approximation

Chapter 3. Scalable dynamic asynchronous Monte Carlo framework applied to wind engineering problems

Chapter 4. Multi-Objective Optimal Design and Maintenance for Systems Based on Calendar Times Using MOEA/D-DE

Chapter 5. From Uncertainty Quanti cation to Shape Optimization: Cross-Fertilization of Methods for Dimensionality Reduction

Chapter 6. Multi-Objective Robustness Analysis of the Polymer Extrusion Process

Chapter 7. Quantification of operational and geometrical uncertainties of a 1.5 stage axial compressor with cavity leakage flows

Chapter 8. Can Uncertainty Propagation Solve the Mysterious Case of Snoopy ?

Chapter 9. Robust Particle Filter for Space Navigation under Epistemic Uncertainty

Chapter 10. Computing bounds for imprecise continuous-time Markov chains using normal cones

Chapter 11. Simultaneous Sampling for Robust Markov Chain Monte Carlo Inference

Chapter 12. Computing Expected Hitting Times for Imprecise Markov Chains

Chapter 13. Multi-Objective Robust Trajectory Optimization of Multi Asteroid Fly-By Under Epistemic Uncertainty

Chapter 14. Reliability-based Robust Design Optimization of a Jet Engine Nacelle

Chapter 15. Bayesian Optimization for Robust Solutions under Uncertain Input

Chapter 16. Optimization under Uncertainty of Shock Control Bumps for Transonic Wings

Chapter 17. Multi-objective design optimisation of an airfoil with geometrical uncertainties leveraging multi- delity Gaussian process regression

Chapter 18. High-Lift Devices Topology Robust Optimisation using Machine Learning Assisted Optimisation

Chapter 19. Network Resilience Optimisation of Complex Systems

Chapter 20. Gaussian Processes for CVaR approximation in Robust Aerodynamic Shape Design

Chapter 21. Inference methods for gas/surface interaction models: from deterministic approaches to Bayesian techniques

Chapter 22. Bayesian Adaptive Selection Under Prior Ignorance

Chapter 23. A Machine-Learning Framework for Plasma-Assisted Combustion using Principal Component Analysis and Gaussian Process Regression

Chapter 24. Estimating exposure fraction from radiation biomarkers: a comparison of frequentist and Bayesian approaches

Chapter 25. A Review of some recent advancements in Non-Ideal Compressible Fluid Dynamics

Chapter 26. Dealing with high dimensional inconsistent measurements in inverse problems using surrogate modeling: an approach based on sets and intervals

Chapter 27. Stochastic Preconditioners for Domain Decomposition Methods

Index

Notes:

Includes index

Print version record

Other Format:

Print version International Conference on Uncertainty Quantification and Optimization (2020), creator. Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications

ISBN:

9783030805425

3030805425

OCLC:

1296685798

Access Restriction:

Restricted for use by site license