Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications
Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications

Author: Massimiliano Vasile

Publisher: Springer Nature

Published: 2022-01-27

Total Pages: 448

ISBN-13: 3030805425

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The 2020 International Conference on Uncertainty Quantification & 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 & 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.

Optimization Under Uncertainty with Applications to Aerospace Engineering
Optimization Under Uncertainty with Applications to Aerospace Engineering

Author: Massimiliano Vasile

Publisher: Springer Nature

Published: 2021-02-15

Total Pages: 573

ISBN-13: 3030601668

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In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.

Multifaceted Uncertainty Quantification
Multifaceted Uncertainty Quantification

Author: Isaac Elishakoff

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2024-09-23

Total Pages: 384

ISBN-13: 3111354237

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The book exposes three alternative and competing approaches to uncertainty analysis in engineering. It is composed of some essays on various sub-topics like random vibrations, probabilistic reliability, fuzzy-sets-based analysis, unknown-but-bounded variables, stochastic linearization, possible difficulties with stochastic analysis of structures.

Surrogate-Based Modeling and Optimization
Surrogate-Based Modeling and Optimization

Author: Slawomir Koziel

Publisher: Springer Science & Business Media

Published: 2013-06-06

Total Pages: 413

ISBN-13: 1461475511

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Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.

Handbook of Uncertainty Quantification
Handbook of Uncertainty Quantification

Author: Roger Ghanem

Publisher: Springer

Published: 2016-05-08

Total Pages: 0

ISBN-13: 9783319123844

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The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution.

Sparse Grids and Applications - Munich 2018
Sparse Grids and Applications - Munich 2018

Author: Hans-Joachim Bungartz

Publisher: Springer Nature

Published: 2022-03-14

Total Pages: 268

ISBN-13: 3030813622

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Sparse grids are a popular tool for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different flavors, are frequently the method of choice. This volume of LNCSE presents selected papers from the proceedings of the fifth workshop on sparse grids and applications, and demonstrates once again the importance of this numerical discretization scheme. The articles present recent advances in the numerical analysis of sparse grids in connection with a range of applications including uncertainty quantification, plasma physics simulations, and computational chemistry, to name but a few.

Uncertainty Quantification in Laminated Composites
Uncertainty Quantification in Laminated Composites

Author: Sudip Dey

Publisher: CRC Press

Published: 2018-09-19

Total Pages: 375

ISBN-13: 1498784461

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Over the last few decades, uncertainty quantification in composite materials and structures has gained a lot of attention from the research community as a result of industrial requirements. This book presents computationally efficient uncertainty quantification schemes following meta-model-based approaches for stochasticity in material and geometric parameters of laminated composite structures. Several metamodels have been studied and comparative results have been presented for different static and dynamic responses. Results for sensitivity analyses are provided for a comprehensive coverage of the relative importance of different material and geometric parameters in the global structural responses.

Proceedings of the 44th Annual American Astronautical Society Guidance, Navigation, and Control Conference, 2022
Proceedings of the 44th Annual American Astronautical Society Guidance, Navigation, and Control Conference, 2022

Author: Matt Sandnas

Publisher: Springer Nature

Published: 2024

Total Pages: 1810

ISBN-13: 3031519280

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Zusammenfassung: This conference attracts GN&C specialists from across the globe. The 2022 Conference was the 44th Annual GN&C conference with more than 230 attendees from six different countries with 44 companies and 28 universities represented. The conference presented more than 100 presentations and 16 posters across 18 topics. This year, the planning committee wanted to continue a focus on networking and collaboration hoping to inspire innovation through the intersection of diverse ideas. These proceedings present the relevant topics of the day while keeping our more popular and well-attended sessions as cornerstones from year to year. Several new topics including "Autonomous Control of Multiple Vehicles" and "Results and Experiences from OSIRIS-REx" were directly influenced by advancements in our industry. In the end, the 44th Annual GN&C conference became a timely reflection of the current state of the GN&C ins the space industry. The annual American Astronautical Society Rocky Mountain Guidance, Navigation and Control (GN&C) Conference began 1977 as an informal exchange of ideas and reports of achievements among guidance and control specialists local to the Colorado area. Bud Gates, Don Parsons, and Bob Culp organized the first conference, and began the annual series of meetings the following winter. In March 1978, the First Annual Rocky Mountain Guidance and Control Conference met at Keystone, Colorado. It met there for eighteen years, moving to Breckenridge in 1996 where it has been for over 25 years

Sensors and Instrumentation, Aircraft/Aerospace and Energy Harvesting , Volume 8
Sensors and Instrumentation, Aircraft/Aerospace and Energy Harvesting , Volume 8

Author: Evro Wee Sit

Publisher: Springer

Published: 2018-05-24

Total Pages: 165

ISBN-13: 3319746421

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Sensors and Instrumentation, Volume 8. Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, the eighth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Sensors and Instrumentation, including papers on: Sensor Applications Accelerometer Design Accelerometer Calibration Sensor Technology Energy Harvesting Technology Aircraft/Aerospace Technology

Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Author: Edmondo Minisci

Publisher: Springer

Published: 2018-07-02

Total Pages: 555

ISBN-13: 3319899880

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This volume presents up-to-date material on the state of the art in evolutionary and deterministic methods for design, optimization and control with applications to industrial and societal problems from Europe, Asia, and America. EUROGEN 2015 was the 11th of a series of International Conferences devoted to bringing together specialists from universities, research institutions and industries developing or applying evolutionary and deterministic methods in design optimization, with emphasis on solving industrial and societal problems. The conference was organised around a number of parallel symposia, regular sessions, and keynote lectures focused on surrogate-based optimization in aerodynamic design, adjoint methods for steady & unsteady optimization, multi-disciplinary design optimization, holistic optimization in marine design, game strategies combined with evolutionary computation, optimization under uncertainty, topology optimization, optimal planning, shape optimization, and production scheduling.