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OverviewThis textbook introduces the fundamental concepts of probability, risk, and uncertainty, and shows their relevance in civil engineering projects. With an emphasis on applied probability and statistics, the book aids students in developing an intuitive understanding of the methods to apply in practice. Drawing from real-world examples, readers are introduced to risk assessment and analysis techniques, enabling them to identify, evaluate, and prioritise potential risks. It gives realistic examples of how spreadsheet tools such as Microsoft Excel can be used to solve problems involving probability, and practical approaches such as Monte Carlo simulations and decision trees are explained in a clear, accessible manner, empowering students to make informed decisions under uncertain and variable conditions. The book also emphasises the importance of effective communication, equipping students with essential skills for working in multidisciplinary teams and with different stakeholders. Risk and Uncertainty for Civil Engineering serves as an introductory textbook for undergraduate students in civil engineering, as well as a useful primer for postgraduate students. Full Product DetailsAuthor: Thomas Rodding KjeldsenPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.410kg ISBN: 9781032679402ISBN 10: 1032679409 Pages: 206 Publication Date: 30 December 2024 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction. 2. Random variables and probability distributions. 3. Parameter estimation. 4. Data visualisation. 5. Uncertainty analysis of engineering systems. 6. Monte Carlo simulations. 7. Structural reliability analysis. 8. Complex systems. 9. Decision-making in an uncertain world. 10. Hypothesis testing. 11. Linear regression models. 12. Low probability, high impact events. 13. Risk communication. 14. Useful Excel functions.ReviewsAuthor InformationThomas Rodding Kjeldsen is Reader in the Department of Architecture and Civil Engineering, University of Bath, UK, where he teaches introductory courses on engineering risk and uncertainty to undergraduate and postgraduate civil engineering students. Tab Content 6Author Website:Countries AvailableAll regions |