Advances In Uncertainty Quantification And Optimization Under Uncertainty With Aerospace Applications

Download Advances In Uncertainty Quantification And Optimization Under Uncertainty With Aerospace Applications full books in PDF, epub, and Kindle. Read online Advances In Uncertainty Quantification And Optimization Under Uncertainty With Aerospace Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications

Author : Massimiliano Vasile
Publisher : Springer Nature
ISBN 13 : 3030805425
Total Pages : 448 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications by : Massimiliano Vasile

Download or read book Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications written by Massimiliano Vasile and published by Springer Nature. This book was released on 2022-01-27 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Massimiliano Vasile
Publisher : Springer Nature
ISBN 13 : 3030601668
Total Pages : 573 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Optimization Under Uncertainty with Applications to Aerospace Engineering by : Massimiliano Vasile

Download or read book Optimization Under Uncertainty with Applications to Aerospace Engineering written by Massimiliano Vasile and published by Springer Nature. This book was released on 2021-02-15 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Uncertainty Management for Robust Industrial Design in Aeronautics

Author : Charles Hirsch
Publisher : Springer
ISBN 13 : 331977767X
Total Pages : 819 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Uncertainty Management for Robust Industrial Design in Aeronautics by : Charles Hirsch

Download or read book Uncertainty Management for Robust Industrial Design in Aeronautics written by Charles Hirsch and published by Springer. This book was released on 2018-07-21 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable optimization), with a special emphasis on aeronautics and turbomachinery, although not limited to these fields. It describes new methods for uncertainty quantification, such as non-intrusive polynomial chaos, collocation methods, perturbation methods, as well as adjoint based and multi-level Monte Carlo methods. It includes methods for characterization of most influential uncertainties, as well as formulations for robust and reliable design optimization. A distinctive element of the book is the unique collection of test cases with prescribed uncertainties, which are representative of the current engineering practice of the industrial consortium partners involved in UMRIDA, a level 1 collaborative project within the European Commission's Seventh Framework Programme (FP7). All developed methods are benchmarked against these industrial challenges. Moreover, the book includes a section dedicated to Best Practice Guidelines for uncertainty quantification and robust design optimization, summarizing the findings obtained by the consortium members within the UMRIDA project. All in all, the book offers a authoritative guide to cutting-edge methodologies for uncertainty management in engineering design, covers a wide range of applications and discusses new ideas for future research and interdisciplinary collaborations.

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

Author :
Publisher :
ISBN 13 :
Total Pages : 64 pages
Book Rating : 4.:/5 (317 download)

DOWNLOAD NOW!

Book Synopsis Needs and Opportunities for Uncertainty-Based Multidisciplinary Design Methods for Aerospace Vehicles by :

Download or read book Needs and Opportunities for Uncertainty-Based Multidisciplinary Design Methods for Aerospace Vehicles written by and published by . This book was released on 2002 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Investigation of Robust Optimization and Evidence Theory with Stochastic Expansions for Aerospace Applications Under Mixed Uncertainty

Download Investigation of Robust Optimization and Evidence Theory with Stochastic Expansions for Aerospace Applications Under Mixed Uncertainty PDF Online Free

Author : Harsheel R. Shah
Publisher :
ISBN 13 :
Total Pages : 158 pages
Book Rating : 4.:/5 (921 download)

DOWNLOAD NOW!

Book Synopsis Investigation of Robust Optimization and Evidence Theory with Stochastic Expansions for Aerospace Applications Under Mixed Uncertainty by : Harsheel R. Shah

Download or read book Investigation of Robust Optimization and Evidence Theory with Stochastic Expansions for Aerospace Applications Under Mixed Uncertainty written by Harsheel R. Shah and published by . This book was released on 2015 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: "One of the primary objectives of this research is to develop a method to model and propagate mixed (aleatory and epistemic) uncertainty in aerospace simulations using DSTE. In order to avoid excessive computational cost associated with large scale applications and the evaluation of Dempster Shafer structures, stochastic expansions are implemented for efficient UQ. The mixed UQ with DSTE approach was demonstrated on an analytical example and high fidelity computational fluid dynamics (CFD) study of transonic flow over a RAE 2822 airfoil. Another objective is to devise a DSTE based performance assessment framework through the use of quantification of margins and uncertainties. Efficient uncertainty propagation in system design performance metrics and performance boundaries is achieved through the use of stochastic expansions. The technique is demonstrated on: (1) a model problem with non-linear analytical functions representing the outputs and performance boundaries of two coupled systems and (2) a multi-disciplinary analysis of a supersonic civil transport. Finally, the stochastic expansions are applied to aerodynamic shape optimization under uncertainty. A robust optimization algorithm is presented for computationally efficient airfoil design under mixed uncertainty using a multi-fidelity approach. This algorithm exploits stochastic expansions to create surrogate models utilized in the optimization process. To reduce the computational cost, output space mapping technique is implemented to replace the high-fidelity CFD model by a suitably corrected low-fidelity one. The proposed algorithm is demonstrated on the robust optimization of NACA 4-digit airfoils under mixed uncertainties in transonic flow"--Abstract, page iv.

Engineering Design Reliability Applications

Author : Efstratios Nikolaidis
Publisher : CRC Press
ISBN 13 : 1420051334
Total Pages : 374 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Engineering Design Reliability Applications by : Efstratios Nikolaidis

Download or read book Engineering Design Reliability Applications written by Efstratios Nikolaidis and published by CRC Press. This book was released on 2007-09-19 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current, increasingly aggressive business environment, crucial decisions about product design often involve significant uncertainty. Highlighting the competitive advantage available from using risk-based reliability design, Engineering Design Reliability Applications: For the Aerospace, Automotive, and Ship Industries provides an overview of

Aerospace System Analysis and Optimization in Uncertainty

Author : Loïc Brevault
Publisher : Springer
ISBN 13 : 9783030391287
Total Pages : 477 pages
Book Rating : 4.3/5 (912 download)

DOWNLOAD NOW!

Book Synopsis Aerospace System Analysis and Optimization in Uncertainty by : Loïc Brevault

Download or read book Aerospace System Analysis and Optimization in Uncertainty written by Loïc Brevault and published by Springer. This book was released on 2021-08-27 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Biomimicry for Aerospace

Author : Vikram Shyam
Publisher : Elsevier
ISBN 13 : 0128210753
Total Pages : 528 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Biomimicry for Aerospace by : Vikram Shyam

Download or read book Biomimicry for Aerospace written by Vikram Shyam and published by Elsevier. This book was released on 2022-02-19 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The solutions to technical challenges posed by flight and space exploration tend to be multidimensional, multifunctional, and increasingly focused on the interaction of systems and their environment. The growing discipline of biomimicry focuses on what humanity can learn from the natural world. Biomimicry for Aerospace: Technologies and Applications features the latest advances of bioinspired materials–properties relationships for aerospace applications. Readers will get a deep dive into the utility of biomimetics to solve a number of technical challenges in aeronautics and space exploration. Part I: Biomimicry in Aerospace: Education, Design, and Inspiration provides an educational background to biomimicry applied for aerospace applications. Part II: Biomimetic Design: Aerospace and Other Practical Applications discusses applications and practical aspects of biomimetic design for aerospace and terrestrial applications and its cross-disciplinary nature. Part III: Biomimicry and Foundational Aerospace Disciplines covers snake-inspired robots, biomimetic advances in photovoltaics, electric aircraft cooling by bioinspired exergy management, and surrogate model-driven bioinspired optimization algorithms for large-scale and complex problems. Finally, Part IV: Bio-Inspired Materials, Manufacturing, and Structures reviews nature-inspired materials and processes for space exploration, gecko-inspired adhesives, bioinspired automated integrated circuit manufacturing on the Moon and Mars, and smart deployable space structures inspired by nature. Introduces educational aspects of bio-inspired design for novel and practical technologies Presents a series of bio-inspired technologies applicable to the field of aerospace engineering Provides an introduction to nature-inspired design and engineering and its relevance to planning and developing the next generation of robotic and human space missions

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

Author : Matt Sandnas
Publisher : Springer Nature
ISBN 13 : 3031519280
Total Pages : 1809 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 44th Annual American Astronautical Society Guidance, Navigation, and Control Conference, 2022 by : Matt Sandnas

Download or read book Proceedings of the 44th Annual American Astronautical Society Guidance, Navigation, and Control Conference, 2022 written by Matt Sandnas and published by Springer Nature. This book was released on 2024 with total page 1809 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Design Optimization Under Uncertainty

Author : Weifei Hu
Publisher : Springer Nature
ISBN 13 : 3031492080
Total Pages : 282 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Design Optimization Under Uncertainty by : Weifei Hu

Download or read book Design Optimization Under Uncertainty written by Weifei Hu and published by Springer Nature. This book was released on 2023-12-22 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the fundamentals of probability, statistical, and reliability concepts, the classical methods of uncertainty quantification and analytical reliability analysis, and the state-of-the-art approaches of design optimization under uncertainty (e.g., reliability-based design optimization and robust design optimization). The topics include basic concepts of probability and distributions, uncertainty quantification using probabilistic methods, classical reliability analysis methods, time-variant reliability analysis methods, fundamentals of deterministic design optimization, reliability-based design optimization, robust design optimization, other methods of design optimization under uncertainty, and engineering applications of design optimization under uncertainty.

Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics

Author : Bernhard Eisfeld
Publisher : Springer Science & Business Media
ISBN 13 : 3642361854
Total Pages : 344 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics by : Bernhard Eisfeld

Download or read book Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics written by Bernhard Eisfeld and published by Springer Science & Business Media. This book was released on 2013-02-11 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Nature-Inspired Computation and Swarm Intelligence

Author : Xin-She Yang
Publisher : Academic Press
ISBN 13 : 0128226099
Total Pages : 444 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Nature-Inspired Computation and Swarm Intelligence by : Xin-She Yang

Download or read book Nature-Inspired Computation and Swarm Intelligence written by Xin-She Yang and published by Academic Press. This book was released on 2020-04-09 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence. Introduces nature-inspired algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and others Provides a theoretical foundation and analyses of algorithms, including: statistical theory and Markov chain theory on the convergence and stability of algorithms, dynamical system theory, benchmarking of optimization, no-free-lunch theorems, and a generalized mathematical framework Includes a diversity of case studies of real-world applications: feature selection, clustering and classification, tuning of restricted Boltzmann machines, travelling salesman problem, classification of white blood cells, music generation by artificial intelligence, swarm robots, neural networks, engineering designs and others

Handbook of Uncertainty Quantification

Author : Roger Ghanem
Publisher : Springer
ISBN 13 : 9783319123844
Total Pages : 0 pages
Book Rating : 4.1/5 (238 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Uncertainty Quantification by : Roger Ghanem

Download or read book Handbook of Uncertainty Quantification written by Roger Ghanem and published by Springer. This book was released on 2016-05-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Hans-Joachim Bungartz
Publisher : Springer Nature
ISBN 13 : 3030813622
Total Pages : 268 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Sparse Grids and Applications - Munich 2018 by : Hans-Joachim Bungartz

Download or read book Sparse Grids and Applications - Munich 2018 written by Hans-Joachim Bungartz and published by Springer Nature. This book was released on 2022-03-14 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Structural and Multidisciplinary Optimization

Author : Axel Schumacher
Publisher : Springer
ISBN 13 : 3319679880
Total Pages : 2115 pages
Book Rating : 4.3/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Advances in Structural and Multidisciplinary Optimization by : Axel Schumacher

Download or read book Advances in Structural and Multidisciplinary Optimization written by Axel Schumacher and published by Springer. This book was released on 2017-12-04 with total page 2115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume includes papers from the WSCMO conference in Braunschweig 2017 presenting research of all aspects of the optimal design of structures as well as multidisciplinary design optimization where the involved disciplines deal with the analysis of solids, fluids or other field problems. Also presented are practical applications of optimization methods and the corresponding software development in all branches of technology.

Uncertainty Quantification in Laminated Composites

Author : Sudip Dey
Publisher : CRC Press
ISBN 13 : 1498784461
Total Pages : 375 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Uncertainty Quantification in Laminated Composites by : Sudip Dey

Download or read book Uncertainty Quantification in Laminated Composites written by Sudip Dey and published by CRC Press. This book was released on 2018-09-19 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Surrogate-Based Modeling and Optimization

Author : Slawomir Koziel
Publisher : Springer Science & Business Media
ISBN 13 : 1461475511
Total Pages : 412 pages
Book Rating : 4.4/5 (614 download)

DOWNLOAD NOW!

Book Synopsis Surrogate-Based Modeling and Optimization by : Slawomir Koziel

Download or read book Surrogate-Based Modeling and Optimization written by Slawomir Koziel and published by Springer Science & Business Media. This book was released on 2013-06-06 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.