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Statics: Analysis And Design Of Systems In Equilibrium
by Sheri D. Sheppard Benson H. TongueStatics: Analysis and Design of Systems in Equilibrium, by Sheri D. Sheppard of Stanford University, and Benson H. Tongue, University of California, Berkeley, offers a student-focused approach to Statics. With a strong emphasis on drawing free body diagrams, use of a structured problem-solving methodology, inclusion of real-world case studies, and robust pedagogy coupled with a truly engaging writing style, reviewers alike have praised this new Statics text. Additionally, this first edition has benefited from a comprehensive and thorough accuracy check by 15 experienced professors, and has been reviewed by more than 200 Statics and Dynamics professors. The text seeks to improve students’ abilities to map their understanding to more realistic engineering situations, enabling them to more effectively break down complex problems into manageable parts, and thus, become more effective engineering students and ultimately, professional engineers. The authors do not compromise on rigor. Instead this series demonstrates the required rigor in the larger context of engineering work, decision making, problem solving, and understanding and impacting the man-made world.
Statics and Dynamics of Weakly Coupled Antiferromagnetic Spin-1/2 Ladders in a Magnetic Field
by Pierre BouillotThis thesis shows how a combination of analytic and numerical techniques, such as a time dependent and finite temperature Density Matrix Renormalization Group (DMRG) technique, can be used to obtain the physical properties of low dimensional quantum magnets with an unprecedented level of accuracy. A comparison between the theory and experiment then enables these systems to be used as quantum simulators; for example, to test various generic properties of low dimensional systems such as Luttinger liquid physics, the paradigm of one dimensional interacting quantum systems. Application of these techniques to a material made of weakly coupled ladders (BPCB) allowed the first quantitative test of Luttinger liquids. In addition, other physical quantities (magnetization, specific heat etc.), and more remarkably the spins-spin correlations - directly measurable in neutron scattering experiments - were in excellent agreement with the observed quantities. We thus now have tools to quantitatiively assess the dynamics for this class of quantum systems.
Statics and Influence Functions: From a Modern Perspective (Springer Series in Solid and Structural Mechanics #13)
by Friedel Hartmann Peter JahnThis extended and revised second edition is intended for engineering students and researchers working with finite element methods in structural and mechanical analysis. Discussing numerical structural analysis from first mechanical and mathematical principles, it establishes the central role of influence functions (Green's functions) in finite element analysis, reanalysis, sensitivity analysis, parameter identification and in optimization, with a particular focus on computational aspects and questions of accuracy. It also presents a one-click reanalysis, a new technique that allows instantaneous modifications to a structure to be made by clicking on single elements. Lastly, the book features four programs that can be downloaded for the solution of the Poisson equation, 2-D elasticity, plate-bending problems and planar frames.
Statics and Mechanics of Materials
by Ferdinand Beer E. Russell Johnston John T. DeWolf David MazurekThe approach of the Beer and Johnston texts has been utilized by hundreds of thousands of students over decades of engineering education. The Statics and Mechanics of Materials text uses this proven methodology in a new book aimed at programs that teach these two subjects together or as a two-semester sequence. Maintaining the proven methodology and pedagogy of their other textbooks, Beer and Johnston’s Statics and Mechanics of Materials combines the theory and application behind these two subjects into one cohesive text. A wealth of problems, Beer and Johnston’s hallmark Sample Problems, and valuable Review and Summary sections at the end of each chapter highlight the key pedagogy of the text.
Statics and Rotational Dynamics of Composite Beams
by Mehrdaad GhorashiThis book presents a comprehensive study of the nonlinear statics and dynamics of composite beams and consists of solutions with and without active elements embedded in the beams. The static solution provides the initial conditions for the dynamic analysis. The dynamic problems considered include the analyses of clamped (hingeless) and articulated (hinged) accelerating rotating beams. Two independent numerical solutions for the steady state and the transient responses are presented. The author illustrates that the transient solution of the nonlinear formulation of accelerating rotating beam converges to the steady state solution obtained by the shooting method. Other key areas considered include calculation of the effect of perturbing the steady state solution, coupled nonlinear flap-lag dynamics of a rotating articulated beam with hinge offset and aerodynamic damping, and static and dynamic responses of nonlinear composite beams with embedded anisotropic piezo-composite actuators. The book is intended as a thorough study of nonlinear elasticity of slender beams and is targeted to researchers, graduate students, and practicing engineers in the fields of structural dynamics, aerospace structures, and mechanical engineering.
Statics and Strength of Materials for Architecture and Building Construction
by Barry S. Onouye Kevin KaneStatics and Strength of Materials for Architecture and Building Construction, Fourth Edition, offers students an accessible, visually oriented introduction to structural theory that doesn't rely on calculus. KEY FEATURES: Instead, illustrations and examples of building frameworks and components enable students to better visualize the connection between theoretical concepts and the experiential nature of real buildings and materials. This new edition includes fully worked examples in each chapter, a companion website with extra practice problems, and expanded treatment of load tracing.
Statics For Dummies
by James H. Allen III PeThe fast and easy way to ace your statics course Does the study of statics stress you out? Does just the thought of mechanics make you rigid? Thanks to this book, you can find balance in the study of this often-intimidating subject and ace even the most challenging university-level courses. Statics For Dummies gives you easy-to-follow, plain-English explanations for everything you need to grasp the study of statics. You'll get a thorough introduction to this foundational branch of engineering and easy-to-follow coverage of solving problems involving forces on bodies at rest; vector algebra; force systems; equivalent force systems; distributed forces; internal forces; principles of equilibrium; applications to trusses, frames, and beams; and friction. Offers a comprehensible introduction to statics Covers all the major topics you'll encounter in university-level courses Plain-English guidance help you grasp even the most confusing concepts If you're currently enrolled in a statics course and looking for a friendlier way to get a handle on the subject, Statics For Dummies has you covered.
Statics of Historic Masonry Constructions
by Mario ComoThis successful book, which is now appearing in its second edition, presents a comprehensive new Statics of Masonry Constructions. Masonry constructions are the great majority of the buildings in Europe's historic centres and the most important monuments in its architectural heritage. Given the age of these constructions, the demand for safety assessments and restoration projects is pressing and constant. The book you hold in hands contributes to fill this demand. The second edition integrates the original text of the first edition with new developments, widening and revisions, due to recent research studies achievements. The result is a book that gives a complete picture of the behaviour of the Masonry Constructions. First of all, it gives the fundamentals of its Statics, based on the no-tension assumption, and then it develops the Limit Analysis for the Masonry Constructions. In this framework, through an interdisciplinary approach combining Engineering and Architecture, the book also investigates the static behaviour of many historic monuments, such as the Pantheon, the Colosseum, the domes of Santa Maria del Fiore in Florence and St Peter's in Rome, as well as the Leaning Tower of Pisa, the Gothic Cathedrals. Finally, the book gives an in-depth study of masonry buildings under seismic actions.
Statics of Historic Masonry Constructions
by Mario ComoMasonry constructions are the great majority of the buildings in Europe's historical centres and the most important monuments in its architectural heritage and the demand for their safety assessments and restoration projects is pressing and constant. Nevertheless, there is a lack of a widely accepted approach to studying the statics of masonry structures. This book aims to help fill these gaps by presenting a new comprehensive, unified theory of statics of masonry constructions. The book, result of thirty years of research and professional experience, through an interdisciplinary approach combining engineering, architecture, advances from the simple to the complex and analyses statics of a large variety of masonry constructions, as arches, domes, cross and cloister vaults, piers, towers, cathedrals and buildings under seismic actions.
Statics with MATLAB®
by Mihai Dupac Dan B. Marghitu Nels H. MadsenEngineering mechanics involves the development of mathematical models of the physical world. Statics addresses the forces acting on and in mechanical objects and systems. Statics with MATLAB® develops an understanding of the mechanical behavior of complex engineering structures and components using MATLAB® to execute numerical calculations and to facilitate analytical calculations. MATLAB® is presented and introduced as a highly convenient tool to solve problems for theory and applications in statics. Included are example problems to demonstrate the MATLAB® syntax and to also introduce specific functions dealing with statics. These explanations are reinforced through figures generated with MATLAB® and the extra material available online which includes the special functions described. This detailed introduction and application of MATLAB® to the field of statics makes Statics with MATLAB® a useful tool for instruction as well as self study, highlighting the use of symbolic MATLAB® for both theory and applications to find analytical and numerical solutions
Station Blackout: Inside the Fukushima Nuclear Disaster and Recovery
by Charles A. CastoThe nuclear safety expert shares a gripping, blow-by-blow account of how he led the response to the 2011 nuclear disaster in Fukushima, Japan. On March 11, 2011, fifty minutes after a magnitude 9.0 earthquake hit eastern Japan, a forty-five-foot high tsunami engulfed the nuclear power plant known as Fukushima Daiichi, knocking out electrical power and all the reactors' safety systems. Three reactor cores experienced meltdowns in the first three days, leading to an unimaginable nuclear disaster. The Tokyo Electric Power Company called Dr. Chuck Casto for help. In Station Blackout, Casto, the foremost authority on responding to nuclear disasters, shares his first-hand account of how he led the collaborative team of Japanese and American experts who faced the challenges of Fukushima. A lifetime of working in the nuclear industry prepared him to manage an extreme crisis, lessons that apply to any crisis situation.</
Stationäre Gasturbinen (VDI-Buch)
by Christof Lechner Jörg SeumeDas Handbuch bietet das aktuelle Wissen über stätionäre Gasturbinen in Industrie und Forschung. In fast vierzig Kapiteln werden die Grundlagen aufbereitet und der derzeitige technische Stand beschrieben. Die Herausgeber – beide blicken auf eine langjährige Industrieerfahrung zurück – haben viele namhafte Autoren gewonnen, die Fragen der Qualität, des Betriebs und der Wartung von Gasturbinen aus der täglichen Praxis kennen. Neu in der 2. Auflage sind Kapitel über Aeroderivate sowie über Ferndiagnosen.
Stations in the Field: A History of Place-Based Animal Research, 1870-1930
by Raf De BontWhen we think of sites of animal research that symbolize modernity, the first places that come to mind are grand research institutes in cities and near universities that house the latest in equipment and technologies, not the surroundings of the bird’s nest, the octopus’s garden in the sea, or the parts of inland lakes in which freshwater plankton reside. Yet during the late nineteenth and early twentieth centuries, a group of zoologists began establishing novel, indeed modern ways of studying nature, propagating what present-day ecologists describe as place-based research. Raf De Bont’s Stations in the Field focuses on the early history of biological field stations and the role these played in the rise of zoological place-based research. Beginning in the 1870s, a growing number of biological field stations were founded--first in Europe and later elsewhere around the world--and thousands of zoologists received their training and performed their research at these sites. Through case studies, De Bont examines the material and social context in which field stations arose, the actual research that was produced in these places, the scientific claims that were developed there, and the rhetorical strategies that were deployed to convince others that these claims made sense. From the life of parasitic invertebrates in northern France and freshwater plankton in Schleswig-Holstein, to migratory birds in East Prussia and pest insects in Belgium, De Bont’s book is fascinating tour through the history of studying nature in nature.
Stations in the Field: A History of Place-Based Animal Research, 1870-1930
by Raf De BontWhen we think of sites of animal research that symbolize modernity, the first places that come to mind are grand research institutes in cities and near universities that house the latest in equipment and technologies, not the surroundings of the bird’s nest, the octopus’s garden in the sea, or the parts of inland lakes in which freshwater plankton reside. Yet during the late nineteenth and early twentieth centuries, a group of zoologists began establishing novel, indeed modern ways of studying nature, propagating what present-day ecologists describe as place-based research. Raf De Bont’s Stations in the Field focuses on the early history of biological field stations and the role these played in the rise of zoological place-based research. Beginning in the 1870s, a growing number of biological field stations were founded—first in Europe and later elsewhere around the world—and thousands of zoologists received their training and performed their research at these sites. Through case studies, De Bont examines the material and social context in which field stations arose, the actual research that was produced in these places, the scientific claims that were developed there, and the rhetorical strategies that were deployed to convince others that these claims made sense. From the life of parasitic invertebrates in northern France and freshwater plankton in Schleswig-Holstein, to migratory birds in East Prussia and pest insects in Belgium, De Bont’s book is fascinating tour through the history of studying nature in nature.
Statistical Analysis in Proteomics
by Klaus JungThis valuable collection aims to provide a collection of frequently used statistical methods in the field of proteomics. Although there is a large overlap between statistical methods for the different 'omics' fields, methods for analyzing data from proteomics experiments need their own specific adaptations. To satisfy that need, Statistical Analysis in Proteomics focuses on the planning of proteomics experiments, the preprocessing and analysis of the data, the integration of proteomics data with other high-throughput data, as well as some special topics. Written for the highly successful Methods in Molecular Biology series, the chapters contain the kind of detail and expert implementation advice that makes for a smooth transition to the laboratory. Practical and authoritative, Statistical Analysis in Proteomics serves as an ideal reference for statisticians involved in the planning and analysis of proteomics experiments, beginners as well as advanced researchers, and also for biologists, biochemists, and medical researchers who want to learn more about the statistical opportunities in the analysis of proteomics data.
Statistical Analysis of Clinical Data on a Pocket Calculator
by Aeilko H. Zwinderman Ton J. CleophasThe core principles of statistical analysis are too easily forgotten in today's world of powerful computers and time-saving algorithms. This step-by-step primer takes researchers who lack the confidence to conduct their own analyses right back to basics, allowing them to scrutinize their own data through a series of rapidly executed reckonings on a simple pocket calculator. A range of easily navigable tutorials facilitate the reader's assimilation of the techniques, while a separate chapter on next generation Flash prepares them for future developments in the field. This practical volume also contains tips on how to deny hackers access to Flash internet sites. An ideal companion to the author's co-authored works on statistical analysis for Springer such as Statistics Applied to Clinical Trials, this monograph will help researchers understand the processes involved in interpreting clinical data, as well as being a necessary prerequisite to mastering more advanced statistical techniques. The principles of statistical analysis are easily forgotten in today's world of time-saving algorithms. This step-by-step primer takes researchers back to basics, enabling them to examine their own data through a series of sums on a simple pocket calculator.
Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2
by Aeilko H. Zwinderman Ton J. CleophasThe first part of this title contained all statistical tests relevant to starting clinical investigations, and included tests for continuous and binary data, power, sample size, multiple testing, variability, confounding, interaction, and reliability. The current part 2 of this title reviews methods for handling missing data, manipulated data, multiple confounders, predictions beyond observation, uncertainty of diagnostic tests, and the problems of outliers. Also robust tests, non-linear modeling , goodness of fit testing, Bhatacharya models, item response modeling, superiority testing, variability testing, binary partitioning for CART (classification and regression tree) methods, meta-analysis, and simple tests for incident analysis and unexpected observations at the workplace and reviewed. Each test method is reported together with (1) a data example from practice, (2) all steps to be taken using a scientific pocket calculator, and (3) the main results and their interpretation. Although several of the described methods can also be carried out with the help of statistical software, the latter procedure will be considerably slower. Both part 1 and 2 of this title consist of a minimum of text and this will enhance the process of mastering the methods. Yet the authors recommend that for a better understanding of the test procedures the books be used together with the same authors' textbook "Statistics Applied to Clinical Studies" 5th edition edited 2012, by Springer Dordrecht Netherlands. More complex data files like data files with multiple treatment modalities or multiple predictor variables can not be analyzed with a pocket calculator. We recommend that the small books "SPSS for starters", Part 1 and 2 (Springer, Dordrecht, 2010, and 2012) from the same authors be used as a complementary help for the readers' benefit.
Statistical Analysis of Designed Experiments
by Ajit C. TamhaneA indispensable guide to understanding and designing modern experimentsThe tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences.The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests.Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets.With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.
Statistical Analysis of Ecotoxicity Studies
by John W. Green Timothy A. Springer Henrik HolbechA guide to the issues relevant to the design, analysis, and interpretation of toxicity studies that examine chemicals for use in the environment Statistical Analysis of Ecotoxicity Studies offers a guide to the design, analysis, and interpretation of a range of experiments that are used to assess the toxicity of chemicals. While the book highlights ecotoxicity studies, the methods presented are applicable to the broad range of toxicity studies. The text contains myriad datasets (from laboratory and field research) that clearly illustrate the book’s topics. The datasets reveal the techniques, pitfalls, and precautions derived from these studies. The text includes information on recently developed methods for the analysis of severity scores and other ordered responses, as well as extensive power studies of competing tests and computer simulation studies of regression models that offer an understanding of the sensitivity (or lack thereof) of various methods and the quality of parameter estimates from regression models. The authors also discuss the regulatory process indicating how test guidelines are developed and review the statistical methodology in current or pending OECD and USEPA ecotoxicity guidelines. This important guide: • Offers the information needed for the design and analysis to a wide array of ecotoxicity experiments and to the development of international test guidelines used to assess the toxicity of chemicals • Contains a thorough examination of the statistical issues that arise in toxicity studies, especially ecotoxicity • Includes an introduction to toxicity experiments and statistical analysis basics • Includes programs in R and excel • Covers the analysis of continuous and Quantal data, analysis of data as well as Regulatory Issues • Presents additional topics (Mesocosm and Microplate experiments, mixtures of chemicals, benchmark dose models, and limit tests) as well as software Written for directors, scientists, regulators, and technicians, Statistical Analysis of Ecotoxicity Studies provides a sound understanding of the technical and practical issues in designing, analyzing, and interpreting toxicity studies to support or challenge chemicals for use in the environment.
Statistical Analysis of Gene Expression Microarray Data (Chapman And Hall/crc Interdisciplinary Statistics Ser.)
by Terry SpeedAlthough less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies
STATISTICAL ANALYSIS OF MASSIVE DATA STREAMS: Proceedings of a Workshop
by Committee on Applied Theoretical StatisticsMassive data streams—large quantities of data that arrive continuously—are becoming increasingly commonplace in many areas of science and technology. Consequently development of analytical methods for such streams is of growing importance. To address this issue, the National Security Agency asked the NRC to hold a workshop to explore methods for analysis of streams of data so as to stimulate progress in the field. This report presents the results of that workshop. It provides presentations that focused on five different research areas where massive data streams are present: atmospheric and meteorological data; high-energy physics; integrated data systems; network traffic; and mining commercial data streams. The goals of the report are to improve communication among researchers in the field and to increase relevant statistical science activity.
Statistical Analysis of Microbiome Data (Frontiers in Probability and the Statistical Sciences)
by Somnath Datta Subharup GuhaMicrobiome research has focused on microorganisms that live within the human body and their effects on health. During the last few years, the quantification of microbiome composition in different environments has been facilitated by the advent of high throughput sequencing technologies. The statistical challenges include computational difficulties due to the high volume of data; normalization and quantification of metabolic abundances, relative taxa and bacterial genes; high-dimensionality; multivariate analysis; the inherently compositional nature of the data; and the proper utilization of complementary phylogenetic information. This has resulted in an explosion of statistical approaches aimed at tackling the unique opportunities and challenges presented by microbiome data. This book provides a comprehensive overview of the state of the art in statistical and informatics technologies for microbiome research. In addition to reviewing demonstrably successful cutting-edge methods, particular emphasis is placed on examples in R that rely on available statistical packages for microbiome data. With its wide-ranging approach, the book benefits not only trained statisticians in academia and industry involved in microbiome research, but also other scientists working in microbiomics and in related fields.
Statistical Analysis of Network Data with R
by Eric D. Kolaczyk Gábor CsárdiNetworks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk's book Statistical Analysis of Network Data (Springer, 2009).
Statistical Analysis of Next Generation Sequencing Data
by Somnath Datta Dan NettletonNext Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this growing and exciting area will find this book useful. In addition, many chapters from this book could be included in graduate-level classes in statistical bioinformatics for training future biostatisticians who will be expected to deal with genomic data in basic biomedical research, genomic clinical trials and personalized medicine. About the editors: Somnath Datta is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and Elected Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics, Biostatistics and Bioinformatics. Dan Nettleton is Professor and Laurence H. Baker Endowed Chair of Biological Statistics in the Department of Statistics at Iowa State University He is Fellow of the American Statistical Association and has published research on a variety of topics in statistics, biology and bioinformatics.
Statistical Analysis of Panel Count Data
by Jianguo Sun Xingqiu ZhaoPanel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.