Geo.Engineerings

Massimiliano Bonamente ... 318 pages - Publisher: Springer; 2nd edition (November, 2016) ... Language: English - ISBN-10: 1493965700 - ISBN-13: 978-1493965700 ... 

The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: • a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. • a new chapter on the various measures of the mean including logarithmic averages. • new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. • a new case study and additional worked examples. • mathematical derivations and theoretical background material have been appropriately marked, to improve the readability of the text. • end-of-chapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the material. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the readers' understanding of the topic.

Winner of the Inaugural Journal of Bridge Structures’ Book Award:  Continually increasing demands on infrastructure mean that maintenance and renewal require timely, appropriate action that maximizes benefits while minimizing cost. To be as well informed as possible, decision-makers must have an optimal understanding of an infrastructure’s condition―what it is now, and what it is expected to be in the future. Written by two respected engineers, Infrastructure Health in Civil Engineering is presented in two corresponding volumes that integrate the decision making concept into theoretical and practical issues. The first volume, Theory and Components, includes:An overview of the infrastructure health in civil engineering (IHCE) and associated theories - In-depth description of the four components of IHCE: measurements, structural identification, damage identification, and decision making - Discussion of how IHCE and asset management are applied - Exploration of analogies between structural and human health. The second volume, Applications and Management, covers: State-of-the-art practices and future directions - Use of probability and statistics in areas including structural modeling - Specific practical applications, including retrofitting and rehabilitation in response to earthquake damage, corrosion, fatigue, and bridge security - Use of IHCE for management and maintenance of different types of structures using pre-stressed and reinforced concrete, and fiber-reinforced polymers (FRPs) - Numerous practical case studies, as well as coverage of the latest techniques in the use of sensors for damage detection and load testing. This set comprises, perhaps for the first time, an invaluable integrated guide to the wide range of structural hazards―including scour, earthquakes, fatigue, corrosion, and damage to pre-stressed systems. It then lays out the optimized, cost-saving methods that will help readers meet safety specifications for new projects, as well as the aging infrastructure at great risk of failure.