Taking an engineering, rather than a mathematical, approach, Bounding uncertainty in Civil Engineering - Theoretical Background deals with the mathematical theories that use convex sets of probability distributions to describe the input data and/or the final response of systems. The particular point of view of the authors is centered on the applications to civil engineering problems, and the theory of random sets has been adopted as a basic and relatively simple model. However, the authors have tried to elucidate its connections to the more general theory of imprecise probabilities, Choquet capacities, fuzzy sets, p-boxes, convex sets of parametric probability distributions, and approximate reasoning both in one dimension and in several dimensions with associated joint spaces. If choosing the theory of random sets may lead to some loss of generality, it has, on the other hand, allowed for a self-contained selection of the topics and a more unified presentation of the theoretical contents and algorithms. With over 80 examples worked out step by step, the book should assist newcomers to the subject (who may otherwise find it difficult to navigate a vast and dispersed literature) in applying the techniques described to their own specific problems.

Taking an engineering, rather than a mathematical, approach, Bounding uncertainty in Civil Engineering - Theoretical Background deals with the mathematical theories that use convex sets of probability distributions to describe the input data and/or the final response of systems. The particular point of view of the authors is centered on the applications to civil engineering problems, and the theory of random sets has been adopted as a basic and relatively simple model. However, the authors have tried to elucidate its connections to the more general theory of imprecise probabilities, Choquet capacities, fuzzy sets, p-boxes, convex sets of parametric probability distributions, and approximate reasoning both in one dimension and in several dimensions with associated joint spaces. If choosing the theory of random sets may lead to some loss of generality, it has, on the other hand, allowed for a self-contained selection of the topics and a more unified presentation of the theoretical contents and algorithms. With over 80 examples worked out step by step, the book should assist newcomers to the subject (who may otherwise find it difficult to navigate a vast and dispersed literature) in applying the techniques described to their own specific problems.

This Geotechnical Special Publication contains papers presenting the latest research into using the subsurface as a civil engineering dimension. The pressure exerted by increasing population, sensitivity toward the environment, and the ever-increasing cost of the land are a few of the reasons that underground excavations are necessary to society's health and future. Excavations below the surface provide space for services, transportation of people and goods, water supply and disposal, sanitation, and storage. These papers offer global examples of practical applications of excavations, especially in China. These papers analyze deep excavations and retaining structures, tunnels and underground excavations, and new frontiers in urban geotechnology.|This Geotechnical Special Publication contains papers presenting the latest research into using the subsurface as a civil engineering dimension. The pressure exerted by increasing population, sensitivity toward the environment, and the ever-increasing cost of the land are a few of the reasons that underground excavations are necessary to society's health and future. Excavations below the surface provide space for services, transportation of people and goods, water supply and disposal, sanitation, and storage. These papers offer global examples of practical applications of excavations, especially in China. These papers analyze deep excavations and retaining structures, tunnels and underground excavations, and new frontiers in urban geotechnology.