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Simulation-Driven Design Optimization and Modeling for Microwave Engineering

2013 Technology & Engineering
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Release : 2013
Genre : Technology & Engineering
Kind : eBook
Book Rating : 175/5 ( reviews)

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Book Synopsis Simulation-Driven Design Optimization and Modeling for Microwave Engineering by : Slawomir Koziel

Download or read book Simulation-Driven Design Optimization and Modeling for Microwave Engineering written by Slawomir Koziel. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: 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 Design by Knowledge-Based Response Correction Techniques

2016-05-13 Mathematics
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Release : 2016-05-13
Genre : Mathematics
Kind : eBook
Book Rating : 152/5 ( reviews)

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Book Synopsis Simulation-Driven Design by Knowledge-Based Response Correction Techniques by : Slawomir Koziel

Download or read book Simulation-Driven Design by Knowledge-Based Response Correction Techniques written by Slawomir Koziel. This book was released on 2016-05-13. Available in PDF, EPUB and Kindle. Book excerpt: 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 Aerodynamic Design Using Variable-fidelity Models

2015-01-09 Technology & Engineering
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Release : 2015-01-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 309/5 ( reviews)

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Book Synopsis Simulation-driven Aerodynamic Design Using Variable-fidelity Models by : Leifur Leifsson

Download or read book Simulation-driven Aerodynamic Design Using Variable-fidelity Models written by Leifur Leifsson. This book was released on 2015-01-09. Available in PDF, EPUB and Kindle. Book excerpt: 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 Modeling and Optimization

2016-02-12 Mathematics
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Release : 2016-02-12
Genre : Mathematics
Kind : eBook
Book Rating : 178/5 ( reviews)

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Book Synopsis Simulation-Driven Modeling and Optimization by : Slawomir Koziel

Download or read book Simulation-Driven Modeling and Optimization written by Slawomir Koziel. This book was released on 2016-02-12. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation

2023-10-16 Technology & Engineering
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Release : 2023-10-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 450/5 ( reviews)

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Book Synopsis Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation by : Anna Pietrenko-Dabrowska

Download or read book Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation written by Anna Pietrenko-Dabrowska. This book was released on 2023-10-16. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses response feature technology and its applications to modeling, optimization, and computer-aided design of high-frequency structures including antenna and microwave components. By exploring the specific structure of the system outputs, feature-based approaches facilitate simulation-driven design procedures, both in terms of improving their computational efficiency and reliability. These benefits are associated with the weakly nonlinear relationship between feature point coordinates and design variables, which—in the context of optimization—leads to inherent regularization of the objective functions. The book provides an overview of the subject, a definition and extraction of characteristic points, and feature-based design problem reformulation. It also outlines a number of numerical algorithms developed to handle local, global, and multi-criterial design, surrogate modeling, as well as uncertainty quantification. The discussed frameworks are extensively illustrated using examples of real microwave and antenna structures, along with numerous design cases. Introductory material on simulation-driven design, numerical optimization, as well as behavioral and physics-based surrogate modeling is also included. The book will be useful for readers working in the area of high-frequency electronics, including microwave engineering, antenna design, microwave photonics, magnetism and especially those who utilize electromagnetic (EM) simulation models in their daily routines.

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