Описание: Structural design sensitivity analysis concerns the relationship between design variables available to the design engineer and structural responses determined by the laws of mechanics. The dependence of response measures such as displacement, stress, strain, natural frequency, buckling load, acoustic response, frequency response, noise-vibration-harshness (NVH), thermo-elastic response, and fatigue life on the material property, sizing, component shape, and configuration design variables is defined through the governing equations of structural mechanics. In this 2-volume set, first- and second- order design sensitivity analyses are presented for static and dynamics responses of both linear and nonlinear elastic structural systems, including elasto-plastic and frictional contact problems.Book 2 covers design sensitivity analysis of nonlinear structural systems using continuum design sensitivity analysis methods. It also discusses practical design tools and applications; sizing and shape design parameterization, design velocity field computation, numerical implementation of the sensitivity for general-purpose code development, and various other practical design applications.
Описание: Performance optimization is vital in the design and operation of modern engineering systems. This book provides a unified framework based on a sensitivity point of view. It introduces new approaches and proposes new research topics.
Автор: Mordukhovich Название: Variational Analysis and Generalized Differentiation II ISBN: 3540254382 ISBN-13(EAN): 9783540254386 Издательство: Springer Рейтинг: Цена: 16334 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Variational analysis is a fruitful area in mathematics that, on one hand, deals with the study of optimization and equilibrium problems and, on the other hand, applies optimization, perturbation, and approximation ideas to the analysis of a broad range of problems that may not be of a variational nature. This monograph in two volumes contains a comprehensive and state-of-the art study of the basic concepts and principles of variational analysis and generalized differentiation in both finite-dimensional and infinite-dimensional spaces and presents numerous applications to problems in optimization, equilibria, stability and sensitivity, control theory, economics, mechanics, etc. The first volume is mainly devoted to the basic theory of variational analysis and generalized differentiations, while the second volume describes various applications. Both volumes include abundant bibliographies and extensive commentaries.
Автор: Mordukhovich Название: Variational Analysis and Generalized Differentiation I ISBN: 3540254374 ISBN-13(EAN): 9783540254379 Издательство: Springer Рейтинг: Цена: 20789 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Variational analysis is a fruitful area in mathematics that, on one hand, deals with the study of optimization and equilibrium problems and, on the other hand, applies optimization, perturbation, and approximation ideas to the analysis of a broad range of problems that may not be of a variational nature.
Автор: Andrea Saltelli Название: Sensitivity Analysis ISBN: 0471998923 ISBN-13(EAN): 9780471998921 Издательство: Wiley Рейтинг: Цена: 24911 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work is a guide to the principles behind sensitivity analysis. It suggests suitable methods for particular types of problem, which allows a greater understanding of the entire causal assessment chain. This makes the impact of source uncertainties and framing assumptions more transparent.
Автор: Saltelli, Andrea Ratto, Marco Andres, Terry Campol Название: Global sensitivity analysis ISBN: 0470059974 ISBN-13(EAN): 9780470059975 Издательство: Wiley Рейтинг: Цена: 14429 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by the leading names in the field, Global Sensitivity Analysis: The Primer offers an accessible summary of the essential concepts involved in a sound sensitivity analysis. It is a self-contained book allowing the reader to learn about, and practice, sensitivity analysis through the use of many exercises and solved problems.
Описание: This monograph contains a number of problems with signal detection theory, presenting a generalized observation model for signal detection problems. The model includes several interesting and common special cases, such as those describing additive noise, multiplicative noise and signal-dependent noise.
Описание: Composite materials play a vital role in modern engineering. Computational mechanics endeavours to provide precise numerical models of composites. This title discusses the advantages of combining theoretical advancements in applied mathematics and mechanics with the probabilistic approach to experimental data in meeting the needs of engineers.
Описание: Structural design sensitivity analysis concerns the relationship between design variables available to the design engineer and structural responses determined by the laws of mechanics. The dependence of response measures such as displacement, stress, strain, natural frequency, buckling load, acoustic response, frequency response, noise-vibration-harshness (NVH), thermo-elastic response, and fatigue life on the material property, sizing, component shape, and configuration design variables is defined through the governing equations of structural mechanics. In this 2-volume set, first- and second- order design sensitivity analyses are presented for static and dynamics responses of both linear and nonlinear elastic structural systems, including elasto-plastic and frictional contact problems.Book I introduces structural design concepts that include the CAD-based design model, design parameterization, performance measures, costs, and constraints. It also discusses design sensitivity analysis of linear structural systems, and discrete and continuum design sensitivity analysis methods.
Автор: RamГk Jaroslav, Vlach Milan Название: Generalized Concavity in Fuzzy Optimization and Decision Analysis ISBN: 0792374959 ISBN-13(EAN): 9780792374954 Издательство: Springer Рейтинг: Цена: 32522 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of beautiful theoretical results that are at the same time extremely useful in the analysis and solution of optimization problems, including problems of either single objective or multiple objectives. Not all of these results rely necessarily on convexity and concavity; some of the results can guarantee that each local optimum is also a global optimum, giving these methods broader application to a wider class of problems. Hence, the focus of the first part of the book is concerned with several types of generalized convex sets and generalized concave functions. In addition to their applicability to nonconvex optimization, these convex sets and generalized concave functions are used in the book's second part, where decision-making and optimization problems under uncertainty are investigated. Uncertainty in the problem data often cannot be avoided when dealing with practical problems. Errors occur in real-world data for a host of reasons. However, over the last thirty years, the fuzzy set approach has proved to be useful in these situations. It is this approach to optimization under uncertainty that is extensively used and studied in the second part of this book. Typically, the membership functions of fuzzy sets involved in such problems are neither concave nor convex. They are, however, often quasiconcave or concave in some generalized sense. This opens possibilities for application of results on generalized concavity to fuzzy optimization. Despite this obvious relation, applying the interface of these two areas has been limited to date. It is hoped that the combination of ideas and results from the field of generalized concavity on the one hand and fuzzy optimization on the other hand outlined and discussed in Generalized Concavity in Fuzzy Optimization and Decision Analysis will be of interest to both communities. Our aim is to broaden the classes of problems that the combination of these two areas can satisfactorily address and solve.
Описание: Offers a review of the developments in sensitivity analysis. This book includes a range of examples to help illustrate the concepts discussed. It focuses on implementation of the methods in the software SIMLAB - a sensitivity analysis software package developed by the authors.
Автор: Petropoulos, George Название: Sensitivity Analysis In Earth Observation Modelling ISBN: 0128030119 ISBN-13(EAN): 9780128030110 Издательство: Elsevier Science Рейтинг: Цена: 13358 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new applications of sensitivity analysis in earth observation modeling. In this framework, original works concerned with the development or exploitation of diverse methods applied to different types of earth observation data or earth observation-based modeling approaches are included. An overview of sensitivity analysis methods and principles is provided first, followed by examples of applications and case studies of different sensitivity/uncertainty analysis implementation methods, covering the full spectrum of sensitivity analysis techniques, including operational products. Finally, the book outlines challenges and future prospects for implementation in earth observation modeling. Information provided in this book is of practical value to readers looking to understand the principles of sensitivity analysis in earth observation modeling, the level of scientific maturity in the field, and where the main limitations or challenges are in terms of improving our ability to implement such approaches in a wide range of applications. Readers will also be informed on the implementation of sensitivity/uncertainty analysis on operational products available at present, on global and continental scales. All of this information is vital in the selection process of the most appropriate sensitivity analysis method to implement.
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