Infrastructure Health in Civil Engineering


Book Description

Continually increasing demands on infrastructures 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 highly respected engineers, the second volume, Infrastructure Health in Civil Engineering: Applications and Management, integrates the decision making concept into theoretical and practical issues. It covers: State-of-the-art practice 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 Built to correspond to the ideas presented in its companion volume, Theory and Components, this is an invaluable guide to 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.
















Monitoring Scour Critical Bridges


Book Description




Dimensional Analysis Beyond the Pi Theorem


Book Description

Dimensional Analysis and Physical Similarity are well understood subjects, and the general concepts of dynamical similarity are explained in this book. Our exposition is essentially different from those available in the literature, although it follows the general ideas known as Pi Theorem. There are many excellent books that one can refer to; however, dimensional analysis goes beyond Pi theorem, which is also known as Buckingham’s Pi Theorem. Many techniques via self-similar solutions can bound solutions to problems that seem intractable. A time-developing phenomenon is called self-similar if the spatial distributions of its properties at different points in time can be obtained from one another by a similarity transformation, and identifying one of the independent variables as time. However, this is where Dimensional Analysis goes beyond Pi Theorem into self-similarity, which has represented progress for researchers. In recent years there has been a surge of interest in self-similar solutions of the First and Second kind. Such solutions are not newly discovered; they have been identified and named by Zel’dovich, a famous Russian Mathematician in 1956. They have been used in the context of a variety of problems, such as shock waves in gas dynamics, and filtration through elasto-plastic materials. Self-Similarity has simplified computations and the representation of the properties of phenomena under investigation. It handles experimental data, reduces what would be a random cloud of empirical points to lie on a single curve or surface, and constructs procedures that are self-similar. Variables can be specifically chosen for the calculations.




Riprap Design Criteria, Recommended Specifications, and Quality Control


Book Description

TRB's National Cooperative Highway Research Program (NCHRP) Report 568: Riprap Design Criteria, Recommended Specifications, and Quality Control examines design guidelines; recommended material specifications and test methods; recommended construction specifications; and construction, inspection, and quality control guidelines for riprap for a range of applications, including revetment on streams and riverbanks, bridge piers and abutments, and bridge scour countermeasures such as guide banks and spurs.




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