Analyzing Uncertainty in Civil Engineering
1st Edition
Published on 19. December 2005
IX, 242 pages
978-3-540-26847-5 (ISBN)
Description
This volume comprehensively addresses the issue of uncertainty in civil engineering, from design to construction. Current engineering practice often leaves uncertainty issues aside, despite the fact that new scientific tools have been developed in the past decades that allow a rational description of uncertainties of all kinds, from model uncertainty to data uncertainty. It is the aim of this volume to take a critical look at current engineering risk concepts in order to raise awareness of uncertainty in numerical computations, shortcomings of a strictly probabilistic safety concept, geotechnical models of failure and their construction implications, actual construction, and legal responsibility. In addition, a number of the new procedures for modelling uncertainty are explained. The book is a result of a collaborate effort of mathematicians, engineers and construction managers who met regularly in a post-graduate seminar at the University of Innsbruck during the past years.
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Wolfgang Fellin | Heimo Lessmann | Michael Oberguggenberger
Analyzing Uncertainty in Civil Engineering
Book
10/2004
Springer
€160.49
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Content
Assessment of characteristic shear strength parameters of soil and its implication in geotechnical design.- Ambiguity of safety definition in geotechnical models.- The fuzziness and sensitivity of failure probabilities.- The mathematics of uncertainty: models, methods and interpretations.- Multi-parameter models: rules and computational methods for combining uncertainties.- Sensitivity analysis.- Difficulties related to numerical predictions of deformations.- FE ultimate load analyses of pile-supported pipelines - tackling uncertainty in a real design problem.- The Implications of Geotechnical Model Uncertainty for Construction Management.- Fuzzy, probabilistic and stochastic modelling of an elastically bedded beam.- Queueing models with fuzzy data in construction management.- Fuzzy models in geotechnical engineering and construction management.
