Aerospace System Analysis And Optimization In Uncertainty

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Aerospace System Analysis and Optimization in Uncertainty

Author : Loïc Brevault,Mathieu Balesdent,Jérôme Morio
Publisher : Springer Nature
Page : 477 pages
File Size : 43,5 Mb
Release : 2020-08-26
Category : Mathematics
ISBN : 9783030391263

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Aerospace System Analysis and Optimization in Uncertainty by Loïc Brevault,Mathieu Balesdent,Jérôme Morio Pdf

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.

Performance and Reliability Optimization for Aerospace Systems Subject to Uncertainty and Degradation

Author : National Aeronautics and Space Administration (NASA)
Publisher : Createspace Independent Publishing Platform
Page : 46 pages
File Size : 42,9 Mb
Release : 2018-06-03
Category : Electronic
ISBN : 1720659893

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Performance and Reliability Optimization for Aerospace Systems Subject to Uncertainty and Degradation by National Aeronautics and Space Administration (NASA) Pdf

This report summarizes work performed by the Space Systems Laboratory (SSL) for NASA Langley Research Center in the field of performance optimization for systems subject to uncertainty. The objective of the research is to develop design methods and tools to the aerospace vehicle design process which take into account lifecycle uncertainties. It recognizes that uncertainty between the predictions of integrated models and data collected from the system in its operational environment is unavoidable. Given the presence of uncertainty, the goal of this work is to develop means of identifying critical sources of uncertainty, and to combine these with the analytical tools used with integrated modeling. In this manner, system uncertainty analysis becomes part of the design process, and can motivate redesign. The specific program objectives were: 1. To incorporate uncertainty modeling, propagation and analysis into the integrated (controls, structures, payloads, disturbances, etc.) design process to derive the error bars associated with performance predictions. 2. To apply modern optimization tools to guide in the expenditure of funds in a way that most cost-effectively improves the lifecycle productivity of the system by enhancing the subsystem reliability and redundancy. The results from the second program objective are described. This report describes the work and results for the first objective: uncertainty modeling, propagation, and synthesis with integrated modeling.Miller, David W. and Uebelhart, Scott A. and Blaurock, CarlLangley Research CenterRELIABILITY; SYSTEMS ANALYSIS; PERFORMANCE PREDICTION; DEGRADATION; AEROSPACE VEHICLES; REDUNDANCY; PRODUCTIVITY; PAYLOADS; MODELS; IDENTIFYING; AEROSPACE SYSTEMS

Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications

Author : Massimiliano Vasile,Domenico Quagliarella
Publisher : Springer Nature
Page : 448 pages
File Size : 51,7 Mb
Release : 2022-01-27
Category : Technology & Engineering
ISBN : 9783030805425

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Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications by Massimiliano Vasile,Domenico Quagliarella Pdf

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.

Recent Advancements in Multi-View Data Analytics

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Nature
Page : 346 pages
File Size : 47,5 Mb
Release : 2022-05-20
Category : Computers
ISBN : 9783030952396

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Recent Advancements in Multi-View Data Analytics by Witold Pedrycz,Shyi-Ming Chen Pdf

This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus building in decision processes, computer vision, knowledge representation, big data, data streaming, among others. The chapters demonstrate recent pursuits in the methodology, theory, advanced algorithms, and applications of multi-view data analytics and bring new perspectives of data interpretation. The timely book will appeal to a broad readership including both researchers and practitioners interested in gaining exposure to the rapidly growing trend of multi-view data analytics and intelligent systems.

Handbook of Smart Energy Systems

Author : Michel Fathi,Enrico Zio,Panos M. Pardalos
Publisher : Springer Nature
Page : 3382 pages
File Size : 43,9 Mb
Release : 2023-08-04
Category : Business & Economics
ISBN : 9783030979409

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Handbook of Smart Energy Systems by Michel Fathi,Enrico Zio,Panos M. Pardalos Pdf

This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.

Computational Approaches for Aerospace Design

Author : Andy Keane,Prasanth Nair
Publisher : John Wiley & Sons
Page : 602 pages
File Size : 45,8 Mb
Release : 2005-08-05
Category : Technology & Engineering
ISBN : 9780470855478

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Computational Approaches for Aerospace Design by Andy Keane,Prasanth Nair Pdf

Over the last fifty years, the ability to carry out analysis as a precursor to decision making in engineering design has increased dramatically. In particular, the advent of modern computing systems and the development of advanced numerical methods have made computational modelling a vital tool for producing optimized designs. This text explores how computer-aided analysis has revolutionized aerospace engineering, providing a comprehensive coverage of the latest technologies underpinning advanced computational design. Worked case studies and over 500 references to the primary research literature allow the reader to gain a full understanding of the technology, giving a valuable insight into the world’s most complex engineering systems. Key Features: Includes background information on the history of aerospace design and established optimization, geometrical and mathematical modelling techniques, setting recent engineering developments in a relevant context. Examines the latest methods such as evolutionary and response surface based optimization, adjoint and numerically differentiated sensitivity codes, uncertainty analysis, and concurrent systems integration schemes using grid-based computing. Methods are illustrated with real-world applications of structural statics, dynamics and fluid mechanics to satellite, aircraft and aero-engine design problems. Senior undergraduate and postgraduate engineering students taking courses in aerospace, vehicle and engine design will find this a valuable resource. It will also be useful for practising engineers and researchers working on computational approaches to design.

Managing Safety of Heterogeneous Systems

Author : Yuri Ermoliev,Marek Makowski,Kurt Marti
Publisher : Springer Science & Business Media
Page : 390 pages
File Size : 52,9 Mb
Release : 2012-01-31
Category : Business & Economics
ISBN : 9783642228841

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Managing Safety of Heterogeneous Systems by Yuri Ermoliev,Marek Makowski,Kurt Marti Pdf

Managing safety of diverse systems requires decision-making under uncertainties and risks. Such systems are typically characterized by spatio-temporal heterogeneities, inter-dependencies, externalities, endogenous risks, discontinuities, irreversibility, practically irreducible uncertainties, and rare events with catastrophic consequences. Traditional scientific approaches rely on data from real observations and experiments; yet no sufficient observations exist for new problems, and experiments are usually impossible. Therefore, science-based support for addressing such new class of problems needs to replace the traditional “deterministic predictions” analysis by new methods and tools for designing decisions that are robust against the involved uncertainties and risks. The new methods treat uncertainties explicitly by using “synthetic” information derived by integration of “hard” elements, including available data, results of possible experiments, and formal representations of scientific facts, with “soft” elements based on diverse representations of scenarios and opinions of public, stakeholders, and experts. The volume presents such effective new methods, and illustrates their applications in different problem areas, including engineering, economy, finance, agriculture, environment, and policy making.

Modeling and Optimization in Space Engineering

Author : Giorgio Fasano,János D. Pintér
Publisher : Springer
Page : 478 pages
File Size : 47,6 Mb
Release : 2019-05-10
Category : Mathematics
ISBN : 9783030105013

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Modeling and Optimization in Space Engineering by Giorgio Fasano,János D. Pintér Pdf

This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas. The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list: • Next Generation Gravity Missions • Continuous-Thrust Trajectories by Evolutionary Neurocontrol • Nonparametric Importance Sampling for Launcher Stage Fallout • Dynamic System Control Dispatch • Optimal Launch Date of Interplanetary Missions • Optimal Topological Design • Evidence-Based Robust Optimization • Interplanetary Trajectory Design by Machine Learning • Real-Time Optimal Control • Optimal Finite Thrust Orbital Transfers • Planning and Scheduling of Multiple Satellite Missions • Trajectory Performance Analysis • Ascent Trajectory and Guidance Optimization • Small Satellite Attitude Determination and Control • Optimized Packings in Space Engineering • Time-Optimal Transfers of All-Electric GEO Satellites Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.

Optimization Techniques

Author : George Leitmann
Publisher : Unknown
Page : 453 pages
File Size : 51,6 Mb
Release : 1962
Category : Electronic
ISBN : OCLC:911882505

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Optimization Techniques by George Leitmann Pdf

Uncertainty in Engineering

Author : Louis J. M. Aslett,Frank P. A. Coolen,Jasper De Bock
Publisher : Springer Nature
Page : 148 pages
File Size : 47,6 Mb
Release : 2022
Category : Electronic
ISBN : 9783030836405

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Uncertainty in Engineering by Louis J. M. Aslett,Frank P. A. Coolen,Jasper De Bock Pdf

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.

Computational Fluid Flow and Heat Transfer

Author : Mukesh Kumar Awasthi,Ashwani Kumar,Nitesh Dutt,Satyvir Singh
Publisher : CRC Press
Page : 298 pages
File Size : 40,8 Mb
Release : 2024-04-25
Category : Technology & Engineering
ISBN : 9781040009222

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Computational Fluid Flow and Heat Transfer by Mukesh Kumar Awasthi,Ashwani Kumar,Nitesh Dutt,Satyvir Singh Pdf

The text provides insight into the different mathematical tools and techniques that can be applied to the analysis and numerical computations of flow models. It further discusses important topics such as the heat transfer effect on boundary layer flow, modeling of flows through porous media, anisotropic polytrophic gas model, and thermal instability in viscoelastic fluids. This book: Discusses modeling of Rayleigh-Taylor instability in nanofluid layer and thermal instability in viscoelastic fluids Covers open FOAM simulation of free surface problems, and anisotropic polytrophic gas model Highlights the Sensitivity Analysis in Aerospace Engineering, MHD Flow of a Micropolar Hybrid Nanofluid, and IoT-Enabled Monitoring for Natural Convection Presents thermal behavior of nanofluid in complex geometries and heat transfer effect on Boundary layer flow Explains natural convection heat transfer in non-Newtonian fluids and homotropy series solution of the boundary layer flow Illustrates modeling of flows through porous media and investigates Shock-driven Richtmyer-Meshkov instability It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of Applied Sciences, Mechanical Engineering, Manufacturing Engineering, Production Engineering, Industrial engineering, Automotive engineering, and Aerospace engineering.

Optimization and Anti-Optimization of Structures Under Uncertainty

Author : Isaac Elishakoff,Makoto Ohsaki
Publisher : World Scientific
Page : 424 pages
File Size : 44,7 Mb
Release : 2010-03-08
Category : Technology & Engineering
ISBN : 9781908978189

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Optimization and Anti-Optimization of Structures Under Uncertainty by Isaac Elishakoff,Makoto Ohsaki Pdf

The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and summarizes various novel ideas, methodologies and results studied over 20 years. The book vividly demonstrates how the concept of uncertainty should be incorporated in a rigorous manner during the process of designing real-world structures. The necessity of anti-optimization approach is first demonstrated, then the anti-optimization techniques are applied to static, dynamic and buckling problems, thus covering the broadest possible set of applications. Finally, anti-optimization is fully utilized by a combination of structural optimization to produce the optimal design considering the worst-case scenario. This is currently the only book that covers the combination of optimization and anti-optimization. It shows how various optimization techniques are used in the novel anti-optimization technique, and how the structural optimization can be exponentially enhanced by incorporating the concept of worst-case scenario, thereby increasing the safety of the structures designed in various fields of engineering. Contents:Optimization or Making the Best in the Presence of Certainty/UncertaintyGeneral Formulation of Anti-OptimizationAnti-Optimization in Static ProblemsAnti-Optimization in BucklingAnti-Optimization in VibrationAnti-Optimization via FEM-Based Interval AnalysisAnti-Optimization and Probabilistic DesignHybrid Optimization with Anti-Optimization under Uncertainty or Making the Best Out of the Worst Readership: Graduate students, professionals and academics in the field of mechanical engineering. Keywords:Anti-Optimization;Structural Optimization;Convex Model;Worst-Case Scenario;Ellipsoidal Model;Worst Excitation;Worst Imperfection;Homology Design;Interval AnalysisKey Features:This is the first book on optimization and anti-optimization Tackles two of the most important facets of engineering — safety and optimality — in a unified manner; the book may prove to be a turning point in both optimization and uncertainty studies by the suggested hybrid treatmentReviews:“Many applications to the optimal structural design are presented. Since some of the criteria are based on worst case scenarios, nested or two-stage optimization problems have to be considered. The book contains many examples and a large number of references.”Zentralblatt MATH

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures

Author : George Deodatis,Bruce R. Ellingwood,Dan M. Frangopol
Publisher : CRC Press
Page : 1112 pages
File Size : 53,9 Mb
Release : 2014-02-10
Category : Technology & Engineering
ISBN : 9781315884882

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Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures by George Deodatis,Bruce R. Ellingwood,Dan M. Frangopol Pdf

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures contains the plenary lectures and papers presented at the 11th International Conference on STRUCTURAL SAFETY AND RELIABILITY (ICOSSAR2013, New York, NY, USA, 16-20 June 2013), and covers major aspects of safety, reliability, risk and life-cycle performance of str

Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems

Author : Bilal M. Ayyub,Ard‚shir Guran,Achintya Haldar
Publisher : World Scientific
Page : 382 pages
File Size : 44,9 Mb
Release : 1997
Category : Technology & Engineering
ISBN : 9789810231347

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Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems by Bilal M. Ayyub,Ard‚shir Guran,Achintya Haldar Pdf

This book gives an overview of the current state of uncertainty modeling in vibration, control, and fuzzy analysis of structural and mechanical systems. It is a coherent compendium written by leading experts and offers the reader a sampling of exciting research areas in several fast-growing branches in this field. Uncertainty modeling and analysis are becoming an integral part of system definition and modeling in many fields. The book consists of ten chapters that report the work of researchers, scientists and engineers on theoretical developments and diversified applications in engineering systems. They deal with modeling for vibration, control, and fuzzy analysis of structural and mechanical systems under uncertain conditions. The book designed for readers who are familiar with the fundamentals and wish to study a particular topic or use the book as an authoritative reference. It gives readers a sophisticated toolbox for tackling modeling problems in mechanical and structural systems in real-world situations. The book is part of a series on Stability, Vibration and Control of Structures, and provides vital information in these areas.