Risk and Uncertainty for Civil Engineering
eBook - ePub

Risk and Uncertainty for Civil Engineering

  1. 264 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Risk and Uncertainty for Civil Engineering

About this book

This 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.

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Yes, you can access Risk and Uncertainty for Civil Engineering by Thomas Rodding Kjeldsen in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Aeronautic & Astronautic Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Acknowledgements
  8. 1 Introduction
  9. 2 Random Variables and Probability Distributions
  10. 3 Parameter Estimation
  11. 4 Data Visualisation
  12. 5 Uncertainty Analysis of Engineering Systems
  13. 6 Monte Carlo Simulations
  14. 7 Structural Reliability Analysis
  15. 8 Complex Systems
  16. 9 Decision-Making in an Uncertain World
  17. 10 Hypothesis Testing
  18. 11 Linear Regression Models
  19. 12 Low Probability, High Impact Events
  20. 13 Risk Communication
  21. 14 Useful EXCEL Functions
  22. Index