Needs and Opportunities for Uncertainty-Based Multidisciplinary Design Methods for Aerospace Vehicles
Needs and Opportunities for Uncertainty-Based Multidisciplinary Design Methods for Aerospace Vehicles

Author: National Aeronautics and Space Administration (NASA)

Publisher: Createspace Independent Publishing Platform

Published: 2018-06-03

Total Pages: 62

ISBN-13: 9781720637769

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This report consists of a survey of the state of the art in uncertainty-based design together with recommendations for a Base research activity in this area for the NASA Langley Research Center. This report identifies the needs and opportunities for computational and experimental methods that provide accurate, efficient solutions to nondeterministic multidisciplinary aerospace vehicle design problems. Barriers to the adoption of uncertainty-based design methods are identified. and the benefits of the use of such methods are explained. Particular research needs are listed.Zang, Thomas A. and Hemsch, Michael J. and Hilburger, Mark W. and Kenny, Sean P and Luckring, James M. and Maghami, Peiman and Padula, Sharon L. and Stroud, W. JeffersonLangley Research CenterAEROSPACE VEHICLES; DESIGN ANALYSIS; UNCERTAIN SYSTEMS; SURVEYS

Aerospace System Analysis and Optimization in Uncertainty
Aerospace System Analysis and Optimization in Uncertainty

Author: Loïc Brevault

Publisher: Springer Nature

Published: 2020-08-26

Total Pages: 477

ISBN-13: 3030391264

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Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties. The book provides approaches to integrating a multitude of components and constraints with the ultimate goal of reducing design cycles. Insights on a vast assortment of problems are provided, including discipline modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range of topics covered include areas of current open research. This Work is destined to become a fundamental reference for aerospace systems engineers, researchers, as well as for practitioners and engineers working in areas of optimization and uncertainty. Part I is largely comprised of fundamentals. Part II presents methodologies for single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related issues: the multifidelity, the multi-objective optimization and the mixed continuous/discrete optimization and Part V is devoted to test cases for aerospace vehicle design.

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.

Multidisciplinary Design Optimization Supported by Knowledge Based Engineering
Multidisciplinary Design Optimization Supported by Knowledge Based Engineering

Author: Jaroslaw Sobieszczanski-Sobieski

Publisher: John Wiley & Sons

Published: 2017-05-08

Total Pages: 400

ISBN-13: 1118897099

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Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.

Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling
Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling

Author: José Eduardo Souza De Cursi

Publisher: Springer Nature

Published: 2023-10-21

Total Pages: 282

ISBN-13: 3031470362

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This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and science. It explores uncertainties in numerical simulations for soil liquefaction potential, the toughness properties of construction materials, experimental tests on cyclic liquefaction potential, and the estimation of geotechnical engineering properties for aerogenerator foundation design. Additionally, the book delves into uncertainties in concrete compressive strength, bio-inspired shape optimization using isogeometric analysis, stochastic damping in rotordynamics, and the hygro-thermal properties of raw earth building materials. It also addresses dynamic analysis with uncertainties in structural parameters, reliability-based design optimization of steel frames, and calibration methods for models with dependent parameters. The book further explores mechanical property characterization in 3D printing, stochastic analysis in computational simulations, probability distribution in branching processes, data assimilation in ocean circulation modeling, uncertainty quantification in climate prediction, and applications of uncertainty quantification in decision problems and disaster management. This comprehensive collection provides insights into the challenges and solutions related to uncertainty in various scientific and engineering contexts.

Bio and Nano Packaging Techniques for Electron Devices
Bio and Nano Packaging Techniques for Electron Devices

Author: Gerald Gerlach

Publisher: Springer Science & Business Media

Published: 2012-07-16

Total Pages: 619

ISBN-13: 3642285228

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This book discusses future trends and developments in electron device packaging and the opportunities of nano and bio techniques as future solutions. It describes the effect of nano-sized particles and cell-based approaches for packaging solutions with their diverse requirements. It offers a comprehensive overview of nano particles and nano composites and their application as packaging functions in electron devices. The importance and challenges of three-dimensional design and computer modeling in nano packaging is discussed; also ways for implementation are described. Solutions for unconventional packaging solutions for metallizations and functionalized surfaces as well as new packaging technologies with high potential for industrial applications are discussed. The book brings together a comprehensive overview of nano scale components and systems comprising electronic, mechanical and optical structures and serves as important reference for industrial and academic researchers.

Mastering Uncertainty in Mechanical Engineering
Mastering Uncertainty in Mechanical Engineering

Author: Peter F. Pelz

Publisher: Springer Nature

Published: 2021-10-11

Total Pages: 483

ISBN-13: 3030783545

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This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

Space Engineering
Space Engineering

Author: Giorgio Fasano

Publisher: Springer

Published: 2016-12-31

Total Pages: 492

ISBN-13: 3319415085

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This book presents a selection of advanced case studies that cover a substantial range of issues and real-world challenges and applications in space engineering. Vital mathematical modeling, optimization methodologies and numerical solution aspects of each application case study are presented in detail, with discussions of a range of advanced model development and solution techniques and tools. Space engineering challenges are discussed in the following contexts: •Advanced Space Vehicle Design •Computation of Optimal Low Thrust Transfers •Indirect Optimization of Spacecraft Trajectories •Resource-Constrained Scheduling, •Packing Problems in Space •Design of Complex Interplanetary Trajectories •Satellite Constellation Image Acquisition •Re-entry Test Vehicle Configuration Selection •Collision Risk Assessment on Perturbed Orbits •Optimal Robust Design of Hybrid Rocket Engines •Nonlinear Regression Analysis in Space Engineering •Regression-Based Sensitivity Analysis and Robust Design •Low-Thrust Multi-Revolution Orbit Transfers •Modeling and Optimization of Balance Layout Problems •Pilot-Induced Oscillations Alleviation •Modeling and Optimization of Hybrid Transfers to Near-Earth Objects •Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite •Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations The contributing authors are expert researchers and practitioners in either the space engineering and/or in the applied optimization fields. Researchers and practitioners working in various applied aspects of space engineering will find this book practical and informative. Academics, graduate and post-graduate students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control, will find this book useful.

Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics
Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics

Author: Bernhard Eisfeld

Publisher: Springer Science & Business Media

Published: 2013-02-11

Total Pages: 344

ISBN-13: 3642361854

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This volume reports results from the German research initiative MUNA (Management and Minimization of Errors and Uncertainties in Numerical Aerodynamics), which combined development activities of the German Aerospace Center (DLR), German universities and German aircraft industry. The main objective of this five year project was the development of methods and procedures aiming at reducing various types of uncertainties that are typical of numerical flow simulations. The activities were focused on methods for grid manipulation, techniques for increasing the simulation accuracy, sensors for turbulence modelling, methods for handling uncertainties of the geometry and grid deformation as well as stochastic methods for quantifying aleatoric uncertainties.