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Optimal Reliability Design, first published in 2000, provides a detailed introduction to systems reliability and reliability optimization. Techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. The book begins with a review of key background material, and a discussion of a range of optimization models. The authors go on to cover optimization tools, such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms. They also describe the computational implementation of these tools. Many numerical examples are included, and the book contains over 180 homework exercises. It is suitable as a textbook for graduate-level courses in reliability engineering and operations research. It will also be a valuable reference for practising engineers.
There are many books available on polymer chemistry, properties, and processing, but they do not focus on the practicalities of selecting and using them correctly in the design of structures. Engineering students require an understanding of polymers and composites as well as viscoelasticity, adhesion, damping applications, and tribology in order to successfully integrate these materials into their designs. Based on more than twenty years of classroom experience, Engineering Design with Polymers and Composites is the first textbook to unite these topics in a single source.The authors take a bottom-up functional approach rather than a top-down analytical approach to design. This unique perspective enables students to select the proper materials for the application rather than force the design to suit the materials. The text begins with an introduction to polymers and composites, including historical background. Detailed coverage of mechanical properties, viscoelastic behavior of polymers, composite materials, creep and fatigue failure, impact, and related properties follows. Discussion then turns to selection of materials, design applications of polymers, polymer processing, adhesion, tribology, and damping and isolation. Abundant examples, homework problems, tables, and illustrations reinforce the concepts.Accompanied by a CD-ROM containing materials databases, examples in ExcelÂ®, and a laminate analysis program, Engineering Design with Polymers and Composites builds a strong background in the underlying concepts necessary for engineering students to successfully incorporate polymers and composites into their designs.
Welcome home... A woman who wants her family back the way it used to be... A zombie hunter who just wants to get away from it all... A young girl with a whorl but no stick -- and no hope... A shapeshifter who must fight a chupacabra... Thirteen stories of horror, fantasy, and science fiction are collected here for the first time in one volume.
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples.
Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.
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