Uncertainty Modeling and Analysis in Civil Engineering

by Bilal M. Ayyub

Jamshid Mohammadi, Peggy A. Johnson, Lucien Duckstein, Gregory B Baecher, Dong Boru, Daniel Bruchman, Claudio Carino, Gang-Len Chang, and Yun-His Oscar Chang

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Book cover for Uncertainty Modeling and Analysis in Civil Engineering

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With the expansion of new technologies, materials, and the design of complex systems, the expectations of society upon engineers are becoming larger than ever. Engineers make critical decisions with potentially high adverse consequences. The current political, societal, and financial climate requires engineers to formally consider the factors of uncertainty (e.g., floods, earthquakes, winds, environmental risks) in their decisions at all levels.
Uncertainty Modeling and Analysis in Civil Engineering provides a thorough report on the immediate state of uncertainty modeling and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations.
Topics include

  • Neural networks
  • Genetic algorithms
  • Numerical modeling
  • Fuzzy sets and operations
  • Reliability and risk analysis
  • Systems control
  • Uncertainty in probability estimates
    This compendium is a considerable reference for civil engineers as well as for engineers in other disciplines, computer scientists, general scientists, and students.
    • ISBN10 0849331080
    • ISBN13 9780849331084
    • Publish Date 29 December 1997
    • Publish Status Active
    • Publish Country US
    • Publisher Taylor & Francis Inc
    • Imprint CRC Press Inc
    • Format Hardcover
    • Pages 528
    • Language English