Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, Pijush Samui
Автор: Petr N. Vabishchevich Название: Computational Technologies: Advanced Topics ISBN: 3110359944 ISBN-13(EAN): 9783110359947 Издательство: Walter de Gruyter Цена: 9288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.
Описание: Multiple disciplines depend on computer programs and software to predict project challenges, outcomes, and solutions. Through the use of virtual prototyping, researchers and professionals are better able to analyze data and improve projects without direct experimentation, which can be costly or dangerous.The Handbook of Research on Computational Simulation and Modeling in Engineering is an authoritative reference source on the computer models and technologies necessary to enhance engineering structures and planning for real-world applications. This publication is an essential resource for academicians, researchers, advanced-level students, technology developers, and engineers interested in the advancements taking place at the intersection of computer technology and the physical sciences.This publication features chapters on the advanced technologies developed within the field of engineering including prediction tools, software programs, algorithms, and theoretical and computational models.
Описание: This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling.
Описание: Features innovative research and implementation practices of analytics in marketing research. Highlighting various techniques in acquiring and deciphering marketing data, this publication is a pivotal reference for professionals, managers, market researchers, and practitioners interested in the observation and utilization of data on marketing trends to promote positive business practices.
For more than a century, we have had a firm grasp on rotor dynamics involving rigid bodies with regular shapes, such as cylinders and shafts. However, to achieve an equally solid understanding of the rotational behavior of flexible bodies--especially those with irregular shapes, such as propeller and turbine blades--we require more modern tools and methods.
Computational Techniques of Rotor Dynamics with the Finite Element Method explores the application of practical finite element method (FEM)-based computational techniques and state-of-the-art engineering software. These are used to simulate behavior of rotational structures that enable the function of various types of machinery--from generators and wind turbines to airplane engines and propellers.
The book's first section focuses on the theoretical foundation of rotor dynamics, and the second concentrates on the engineering analysis of rotating structures. The authors explain techniques used in the modeling and computation of the forces involved in the rotational phenomenon. They then demonstrate how to interpret and apply the results to improve fidelity and performance.
Coverage includes:
Use of FEM to achieve the most accurate computational simulation of all gyroscopic forces occurring in rotational structures
Details of highly efficient and accurate computational and numerical techniques for dynamic simulations
Interpretation of computational results, which is instrumental to developing stable rotating machinery
Practical application examples of rotational structures' dynamic response to external and internal excitations
An FEM case study that illustrates the computational complexities associated with modeling and computation of forces of rotor dynamics
Assessment of propellers and turbines that are critical to the transportation and energy industries
Useful to practicing engineers and graduate-level students alike, this self-contained volume also serves as an invaluable reference for researchers and instructors in this field.
CRC Press Authors Speak
Louis Komzsik introduces you to two books that share a common mathematical foundation, the finite element analysis technique. Watch the video.
Описание: Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This book provides students with a versatile and accessible introduction to the subject.
Название: Practical Guide to Computer Simulations ISBN: 9814571776 ISBN-13(EAN): 9789814571777 Издательство: World Scientific Publishing Рейтинг: Цена: 8078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Book Presents All The Computational Techniques And Tools Needed To Start Doing Scientific Research Using Computer Simulations. A Reader Will Have All The Necessary Basic Background After Working Through This Book, Including Program Design, Programming In C, Fundamental Algorithms And Data Structures, Random Numbers, Debugging, Up To Data Analysis, Presentation And Publishing. In Each Of These Fields No Preliminary Knowledge Is Assumed. The Reader Will Be Equipped With A Solid Background Such That He Can Perform Successfully Complete Projects From The First Idea Till The Final Publication. For Non-Standard Applications And Further Reading, Many References To Specialized Literature Are Included. All Techniques Are Explained Using Many Examples In C. These C Codes, Also The Solutions To Exercises, Can Be Downloaded From A Web Page.The Techniques In This Book Are Independent Of The Field Of Research, Hence They Are Suitable For Conducting Research Projects In Physics, Chemistry, Computer Science, Biology Or Engineering.There Are No Similar Comprehensive Books So Far. Currently, One Needs Many Different Books To Learn All Necessary Background. Having This Book, One Needs Basically Only A Second Book On Field-Specific Algorithms In Order To Be Fully Equipped To Perform Computer Simulations Research.
Автор: Hartmann Alexander K Название: Big Practical Guide To Computer Simulations (2Nd Edition) ISBN: 9814571768 ISBN-13(EAN): 9789814571760 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Book Presents All The Computational Techniques And Tools Needed To Start Doing Scientific Research Using Computer Simulations. A Reader Will Have All The Necessary Basic Background After Working Through This Book, Including Program Design, Programming In C, Fundamental Algorithms And Data Structures, Random Numbers, Debugging, Up To Data Analysis, Presentation And Publishing. In Each Of These Fields No Preliminary Knowledge Is Assumed. The Reader Will Be Equipped With A Solid Background Such That He Can Perform Successfully Complete Projects From The First Idea Till The Final Publication. For Non-Standard Applications And Further Reading, Many References To Specialized Literature Are Included. All Techniques Are Explained Using Many Examples In C. These C Codes, Also The Solutions To Exercises, Can Be Downloaded From A Web Page.The Techniques In This Book Are Independent Of The Field Of Research, Hence They Are Suitable For Conducting Research Projects In Physics, Chemistry, Computer Science, Biology Or Engineering.There Are No Similar Comprehensive Books So Far. Currently, One Needs Many Different Books To Learn All Necessary Background. Having This Book, One Needs Basically Only A Second Book On Field-Specific Algorithms In Order To Be Fully Equipped To Perform Computer Simulations Research.
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.
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