Описание: Reduction of Simulation Time.- Recent Developments of TAU Adaptation Capability.- Adaptive Wall Function for the Prediction of Turbulent Flows.- Acceleration of CFD Processes for Transport Aircraft.- Efficient Combat Aircraft Simulations with the TAU RANS Code.- Improvement of Simulation Quality.- Universal Wall Functions for Aerodynamic Flows: Turbulence Model Consistent Design, Potential and Limitations.- Computational Modelling of Transonic Aerodynamic Flows Using Near-Wall, Reynolds Stress Transport Models.- Transition Prediction for Three-Dimensional Configurations.- Application of Transition Prediction.- Numerical Simulation Quality Assessment for Transport Aircraft.- Fluid Structure Coupling.- Computational Methods for Aero-Structural Analysis and Optimisation of Aircrafts Based on Reduced-Order Structural Models.- Development and Application of TAU-ANSYS Coupling Procedure.- Fluid-Structure Coupling: Simplified Structural Model on Complex Configurations.- Improvement of Shape Optimization Strategies.- Development of an Automated Artificial Neural Network for Numerical Optimization.- modeFRONTIER(c), a Framework for the Optimization of Military Aircraft Configurations.- One-Shot Methods for Aerodynamic Shape Optimization.- Automatic Differentiation of FLOWer and MUGRIDO.- Adjoint Methods for Coupled CFD-CSM Optimization.- Aerodynamic and Multidisciplinary Optimization of 3D-Configurations.- Aerodynamic Optimization for Cruise and High-Lift Configurations.- Aerodynamic Optimization of an UCAV Configuration.- Flexible Wing Optimisation Based on Shapes and Structures.- Multidisciplinary Optimization of an UAV Combining CFD and CSM.
Описание: Contains results of the German CFD initiative megadesign which combines CFD development activities from DLR, universities and aircraft industry. This title highlights improvements and enhancements of the flow solvers as well as developments with respect to aerodynamic and multidisciplinary shape optimization.
Описание: Ship optimization design is critical to the preliminary design of a ship. With the rapid development of computer technology, the simulation-based design (SBD) technique has been introduced into the field of ship design. Typical SBD consists of three parts: geometric reconstruction; CFD numerical simulation; and optimization. In the context of ship design, these are used to alter the shape of the ship, evaluate the objective function and to assess the hull form space respectively. As such, the SBD technique opens up new opportunities and paves the way for a new method for optimal ship design. This book discusses the problem of optimizing ship’s hulls, highlighting the key technologies of ship optimization design and presenting a series of hull-form optimization platforms. It includes several improved approaches and novel ideas with significant potential in this field
Автор: Ping Jiang; Qi Zhou; Xinyu Shao Название: Surrogate Model-Based Engineering Design and Optimization ISBN: 9811507309 ISBN-13(EAN): 9789811507304 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization.Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships.The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.
Описание: The book includes theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. It discuses multi-criteria decision-making methods and optimization techniques in the textile domain supported by examples, case studies and MATLAB codes.
Автор: J.S. Rao Название: Simulation Based Engineering in Fluid Flow Design ISBN: 3319463810 ISBN-13(EAN): 9783319463810 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the High Performance Computing (HPC) in recent years, Simulation Based Engineering Science (SBES) has gradually replaced the conventional approach in Fluid Flow Design bringing Science directly into Engineering without approximations.
The capability modeling and simulation (M&S) supplies for managing systems complexity and investigating systems behaviors has made it a central activity in the development of new and existing systems. However, a handbook that provides established M&S practices has not been available. Until now. Modeling and Simulation-Based Systems Engineering Handbook details the M&S practices for supporting systems engineering in diverse domains. It discusses how you can identify systems engineering needs and adapt these practices to suit specific application domains, thus avoiding redefining practices from scratch.
Although M&S practices are used and embedded within individual disciplines, they are often developed in isolation. However, they address recurring problems common to all disciplines. The editors of this book tackled the challenge by recruiting key representatives from several communities, harmonizing the different perspectives derived from individual backgrounds, and lining them up with the book's vision. The result is a collection of M&S systems engineering examples that offer an initial means for cross-domain capitalization of the knowledge, methodologies, and technologies developed in several communities. These examples provide the pros and cons of the methods and techniques available, lessons learned, and pitfalls to avoid.
As our society moves further in the information era, knowledge and M&S capabilities become key enablers for the engineering of complex systems and systems of systems. Therefore, knowledge and M&S methodologies and technologies become valuable output in an engineering activity, and their cross-domain capitalization is key to further advance the future practices in systems engineering. This book collates information across disciplines to provide you with the tools to more efficiently design and manage complex systems that achieve their goals.
Автор: Kurowski Название: Vibration Analysis with SOLIDWORKS Simulation 2019 ISBN: 1630572438 ISBN-13(EAN): 9781630572433 Издательство: Taylor&Francis Рейтинг: Цена: 7962.00 р. Наличие на складе: Поставка под заказ.
Описание: Vibration Analysis with SOLIDWORKS Simulation 2019 goes beyond the standard software manual. It concurrently introduces the reader to vibration analysis and its implementation in SOLIDWORKS Simulation using hands-on exercises. A number of projects are presented to illustrate vibration analysis and related topics. Each chapter is designed to build on the skills and understanding gained from previous exercises. Vibration Analysis with SOLIDWORKS Simulation 2019 is designed for users who are already familiar with the basics of Finite Element Analysis (FEA) using SOLIDWORKS Simulation or who have completed the book Engineering Analysis with SOLIDWORKS Simulation 2019. Vibration Analysis with SOLIDWORKS Simulation 2019 builds on these topics in the area of vibration analysis. Some understanding of structural analysis and solid mechanics is recommended.
Описание: This book presents a comprehensive review of the latest research and development trends for design optimization of mechanical elements and devices. The authors demonstrate optimization approaches using examples of various mechanical elements and devices.
Описание: Dieses aktuelle Referenzwerk behandelt numerische Optimierungsmethoden f 1/4r Str mungsmaschinen und die wichtigsten industriellen Anwendungen. Grundlagen sind umfangreiche Forschung und Erfahrung der Autoren. Die logischen Zusammenh nge, um den Bereich der numerischen Str mungssimulation (CFD) zu verstehen, werden anhand der Grundlagen der Str mungsmechanik, von Str mungsmaschinen und ihrer Komponenten erl utert. Im Anschluss folgt eine Einf 1/4hrung in Methoden der Ein- und Mehrzieloptimierung, die automatische Optimierung, in Ersatzmodelle und Entwicklungsalgorithmen. Das Fachbuch schlie Ÿt mit der ausf 1/4hrlichen Erkl rung von Designans tzen und Anwendungen f 1/4r Pumpen, Turbinen, Kompressoren und weiteren Systemen von Str mungsmaschinen. Der Nachdruck liegt hier bei Systemen f 1/4r erneuerbare Energien. - Die Autoren sind f 1/4hrende Experten des Fachgebiets. - Ein handliches Fachbuch zu Optimierungsmethoden mittels numerischer Str mungssimulation bei Str mungsmaschinen. - Beschreibt wichtige Anwendungsbereiche in der Industrie und enth lt Kapitel zu Systemen f 1/4r erneuerbaren Energien. Design Optimization of Fluid Machinery ist ein wichtiger Leitfaden f 1/4r Graduierte, Forscher und Ingenieure aus den Bereichen Str mungsmaschinen und zugeh rige Optimierungsmethoden. Als Fachbuch mit allem Wissenswerten zu dem Thema richtet es sich an Studenten h herer Semester der Fachrichtungen Maschinenbau und verwandter Bereiche der Str mungssimulation und Luft-/Raumfahrttechnik.
Автор: Ignacio E. Grossmann Название: Global Optimization in Engineering Design ISBN: 144194754X ISBN-13(EAN): 9781441947543 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu- tion is often nontrivial.
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