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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
Fuzzy sets and operations
Reliability and risk analysis
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.
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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CHOICE – Outstanding Academic Title – Award Winner
CHOICE – 2018 Outstanding Academic Title – Award Winner
Shingo Research and Professional Publication Award Winner
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