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Uncertainty Modeling and Analysis in Civil Engineering / Edition 1
     

Uncertainty Modeling and Analysis in Civil Engineering / Edition 1

by Bilal M. Ayyub
 

ISBN-10: 0849331080

ISBN-13: 9780849331084

Pub. Date: 12/29/1997

Publisher: Taylor & Francis

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.,

Overview

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.
  • Product Details

    ISBN-13:
    9780849331084
    Publisher:
    Taylor & Francis
    Publication date:
    12/29/1997
    Pages:
    528
    Product dimensions:
    7.31(w) x 10.29(h) x 1.33(d)

    Table of Contents

    Uncertainty Types and Modeling Methods
    Uncertainty Modeling in Civil Engineering with Structural and Reliability Applications
    Hybrid Fuzzy Regression and Its Applications
    Fuzzy Models for Uncertainty Assessment in Engineering Analysis
    Expert Opinion Data and Their Uncertainties and Biases
    Reliability and Risk Methods
    Time Variant Reliability Assessment
    Computation of Reliability for Systems Operating in Varying Conditions
    A Fuzzy Reliability Measure for Engineering Applications
    Fuzzy Risk Analysis in Civil Engineering
    Decision Analysis and Transportation Systems
    Risk Management in Engineering
    Fuzzy Modeling of Risky Investment Decision in Engineering Projects
    A Planning Model of Large Scale Infrastructure under Uncertainty
    Estimation of Dynamic O-D Distributions for Urban Networks
    Structural Systems
    Uncertainties in Safety Analysis of Existing Structures
    Uncertainties in Material and Geometric Strength Variables in Marine Structures
    Numerical Simulation and Analysis of Structural Systems with Input Uncertainties
    Probabilistic Modeling of Structural Fatigue
    Fatigue Reliability Assessment of Miter Gate Components at Navigation Locks
    Modeling of Fuzzy Machine Learning and Fuzzy Neural Network in Structural Design
    An Approach to Aesthetic Design of Bridges Using Interactive Dichotomizer (ID3) Methods
    Paint Deterioration Assessment of Steel Bridges Using Neural Networks
    Geotechnical and Environmental Systems
    Quantitative Analysis of Variability and Uncertainty in Energy and Environmental Systems
    Uncertainty in Stream Channel Restoration
    Application of Genetic Algorithm to Design of Artificial Ground
    Design of Site Investigation Programs for Geotechnical Engineering
    Parameters and Approximations in Geotechnical Reliability
    Subject Index

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