The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic System Modeling explores a panoply of different types of modeling methods available for dynamical systems. Featuring an interdisciplinary, balanced approach, the handbook focuses on both generalized dynamic knowledge and specific models. It first introduces the general concepts, representations, and philosophy of dynamic models, followed by a section on modeling methodologies that explains how to portray designed models on a computer. After addressing scale, heterogeneity, and composition issues, the book covers specific model types that are often characterized by specific visual- or text-based grammars. It concludes with case studies that employ two well-known commercial packages to construct, simulate, and analyze dynamic models. A complete guide to the fundamentals, types, and applications of dynamic models, this handbook shows how systems function and are represented over time and space and illustrates how to select a particular model based on a specific area of interest.
Dynamic Stability of Structures covers the proceedings of an International Conference on Dynamic Stability of Structures, held in Northwestern University, Evanston, Illinois on October 18-20, 1965, jointly sponsored by the Air Force of Scientific Research and Northwestern University. The conference aims to delineate the various categories of dynamic stability phenomena. This book is organized into six sections encompassing 20 chapters that tackle general topics such as mathematical methods of analysis, physical phenomena, design applications in engineering, and reports of field research. The first two sections deal with the fundamentals, principles, and concept of dynamic stability, as well as an introduction to the use of computing machines as an aid in studying the motions of complicated dynamical systems. The succeeding two sections highlight the statistical aspects in the structural stability theory and certain problems of structural dynamic. These sections also look into the dynamic buckling of elastic structures and the buckling of long slender ships due to wave-induced whipping. The last two sections explore the stability and vibration problems of mechanical systems under harmonic excitation and the dynamic buckling under step loading. These sections also include discussions on the nonlinear dynamic response of shell-type structures and of a column under random loading, as well as Italian research in the field. Structural and mechanical engineers will find this book invaluable.
Because of the complexity involved in understanding the environment, the choices made about environmental issues are often incomplete. In a perfect world, those who make environmental decisions would be armed with a foundation about the broad range of issues at stake when making such decisions. Offering a simple but comprehensive understanding of the critical roles science, economics, and values play in making informed environmental decisions, Environmental Decision-Making in Context: A Toolbox provides that foundation. The author highlights a primary set of intellectual tools from different disciplines and places them into an environmental context through the use of case study examples. The case studies are designed to stimulate the analytical reasoning required to employ environmental decision-making and ultimately, help in establishing a framework for pursuing and solving environmental questions, issues, and problems. They create a framework individuals from various backgrounds can use to both identify and analyze environmental issues in the context of everyday environmental problems. The book strikes a balance between being a tightly bound academic text and a loosely defined set of principles. It takes you beyond the traditional pillars of academic discipline to supply an understanding of the fundamental aspects of what is actually involved in making environmental decisions and building a set of skills for making those decisions.
Although sampling errors inevitably lead to analytical errors, the importance of sampling is often overlooked. The main purpose of this book is to enable the reader to identify every possible source of sampling error in order to derive practical rules to (a) completely suppress avoidable errors, and (b) minimise and estimate the effect of unavoidable errors. In short, the degree of representativeness of the sample can be known by applying these rules. The scope covers the derivation of theories of probabilistic sampling and of bed-blending from a complete theory of heterogeneity which is based on an original, very thorough, qualitative and quantitative analysis of the concepts of homogeneity and heterogeneity. All sampling errors result from the existence of one form or another of heterogeneity. Sampling theory is derived from the theory of heterogeneity by application of a probabilistic operator to a material whose heterogeneity has been characterized either by a simple scalar (a variance: zero-dimensional batches) or by a function (a variogram: one-dimensional batches). A theory of bed-blending (one-dimensional homogenizing) is then easily derived from the sampling theory. The book should be of interest to all analysts and to those dealing with quality, process control and monitoring, either for technical or for commercial purposes, and mineral processing. Although this book is primarily aimed at graduates, large portions of it are suitable for teaching sampling theory to undergraduates as it contains many practical examples provided by the author's 30-year experience as an international consultant. The book also contains useful source material for short courses in Industry.
As the importance of environmental security increases worldwide, colleges and universities are evaluating how well they are preparing the next generation of environmental scientists and managers and developing new educational approaches. In this volume, we examine: (1) current educational practices and the need for change, (2) educational needs from the perspective of employers and professionals, and (3) new practices in higher education in environmental fields. The contributors were carefully selected by an international coordinating team based on their international reputations in the field of progressive educational approaches and understanding of the global employment market in environmental science. Although the focal geographic areas are North America, Europe and the former Soviet republics, the ideas and strategies discussed are universal to all institutions of higher education. We highlight specific non-traditional approaches such as using the university as a curricular tool, developing permaculture programs, and applying sustainability pedagogy, and document their success from both a student and employer perspective. We also include case studies on risk assessment and eco-efficiency education to illustrate why and how transdisciplinary education can be accomplished. We conclude that it is imperative that our educational systems teach environmental security at the university level within a transdisciplinary context; and that opportunities, such as internships and other methods of applied learning, are included in the curriculum.