Simulation-Driven Design Optimization and Modeling for Microwave Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulation-Driven Design Optimization and Modeling for Microwave Engineering write by Slawomir Koziel. This book was released on 2013. Simulation-Driven Design Optimization and Modeling for Microwave Engineering available in PDF, EPUB and Kindle. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis. Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important. In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications.
Simulation-driven Aerodynamic Design Using Variable-fidelity Models
Simulation-driven Aerodynamic Design Using Variable-fidelity Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulation-driven Aerodynamic Design Using Variable-fidelity Models write by Leifur Leifsson. This book was released on 2015-01-09. Simulation-driven Aerodynamic Design Using Variable-fidelity Models available in PDF, EPUB and Kindle. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore prohibitive.This book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics and the methods and techniques described in the book are demonstrated using aerodynamic shape optimization cases. Applications in other engineering fields are also demonstrated.State-of-the-art techniques and a depth of coverage never published before make this a unique and essential book for all researchers working in aerospace and other engineering areas and dealing with optimization, computationally expensive design problems, and simulation-driven design.
Simulation-Driven Design by Knowledge-Based Response Correction Techniques
Simulation-Driven Design by Knowledge-Based Response Correction Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulation-Driven Design by Knowledge-Based Response Correction Techniques write by Slawomir Koziel. This book was released on 2016-05-13. Simulation-Driven Design by Knowledge-Based Response Correction Techniques available in PDF, EPUB and Kindle. Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient. The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics.
Simulation-Driven Modeling and Optimization
Simulation-Driven Modeling and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulation-Driven Modeling and Optimization write by Slawomir Koziel. This book was released on 2016-02-12. Simulation-Driven Modeling and Optimization available in PDF, EPUB and Kindle. This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along with an array of the latest techniques to optimize the efficiency of the simulation-driven design process. High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design—while highly desirable—is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.
Performance-Driven Surrogate Modeling of High-Frequency Structures
Performance-Driven Surrogate Modeling of High-Frequency Structures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Performance-Driven Surrogate Modeling of High-Frequency Structures write by Slawomir Koziel. This book was released on 2020-02-19. Performance-Driven Surrogate Modeling of High-Frequency Structures available in PDF, EPUB and Kindle. This book discusses surrogate modeling of high-frequency structures including antenna and microwave components. The focus is on constrained or performance-driven surrogates. The presented techniques aim at addressing the limitations of conventional modeling methods, pertinent to the issues of dimensionality and parameter ranges that need to be covered by the surrogate to ensure its design utility. Within performance-driven methodologies, mitigation of these problems is achieved through appropriate confinement of the model domain, focused on the regions promising from the point of view of the relevant design objectives. This enables the construction of reliable surrogates at a fraction of cost required by conventional methods, and to accomplish the modeling tasks where other techniques routinely fail. The book provides a broad selection of specific frameworks, extensively illustrated using examples of real-world microwave and antenna structures along with numerous design examples. Furthermore, the book contains introductory material on data-driven and physics-based surrogates. The book will be useful for the readers working in the area of high-frequency electronics, including microwave engineering, antenna design, microwave photonics, magnetism, especially those that utilize electromagnetic (EM) simulation models in their daily routines. Covers performance-driven and constrained modeling methods, not available in other books to date; Discusses of a wide range of practical case studies including a variety of microwave and antenna structures; Includes design applications of the presented modeling frameworks, including single- and multi-objective parametric optimization.
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