Uncertainty Modeling and Analysis in Civil Engineering / Edition 1

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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.
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Editorial Reviews

Forty-one researchers and engineers from seven countries provide a report on the current 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; and uncertainty in probability estimates. Each chapter contains a case study illustrating analytical approaches to problem-solving as well as theoretical and applied examples. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780849331084
  • Publisher: CRC Press
  • Publication date: 12/29/1997
  • Edition number: 1
  • 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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