Uncertainty Modeling in Finite Element, Fatigue and Stability of Systems

The functionality of modern structural, mechanical and electrical or electronic systems depends on their ability to perform under uncertain conditions. Consideration of uncertainties and their effect on system behavior is an essential and integral part of defining systems. In eleven chapters, leading experts present an overview of the current state of uncertainty modeling, analysis and design of large systems in four major areas: finite and boundary element methods (common structural analysis techniques), fatigue, stability analysis, and fault-tolerant systems. The content of this book is unique; it describes exciting research developments and challenges in emerging areas, and provide a sophisticated toolbox for tackling uncertainty modeling in real systems.
Contents: Probabilistic Finite Element Analysis of Large Structural Systems "(S Mahadevan)"Reliability Evaluation of Structures Using Nonlinear SFEM "(A Haldar & L-W Gao)"Finite Element Method for Stochastic Structures Based on Inverse of Stiffness Matrix "(I Elishakoff & Y-J Ren)"The Weighted Integral Method and the Variability Response Function as Part of an SFEM Formulation "(G Deodatis & L Graham)"Response of a Vibrating Structure to Turbulent Wall Pressure: Fluid-Loaded Structure Modes Series and Boundary Element Method "(P J T Filippi & D Mazzoni)"Reliability-Based Structural Fatigue Damage Evaluation and Maintenance Using Non-Destructive Inspections "(Z-W Zhao & A Haldar)"Uncertainty Modeling in Structural Stability "(B W Yeigh & M Shinozuka)"Global Stability Analysis of Nonlinear Dynamical Systems "(R Valery Roy)"Dynamic Random Snap-Buckling of Composite Shallow Shells "(R Heuer et al.)"Buckling Analysis and Design of Imperfection-Sensitive Structures "(G V Palassopoulos)"Basic Concepts of Fault-Tolerant Computing Design "(C Aktouf et al.)"
Readership: Researchers in systems & knowledge engineering/artificial intelligence, civil, mechanical & electronic engineering, applied physics, applied mathematics, numerical and computing methods.