Book Series - Volume III
Uncertainty Modeling: Fundamental Concepts and Models
- Chapter 1. Introduction to Probabilistic Methods & Uncertainty Modeling in Direct & Inverse Problems
- Chapter 2. Application of Data Science in the Sustainable Energy Industry
- Chapter 3. Overview of Classic Surrogates and Metamodeling Strategies in Structural Analysis
- Chapter 4. Uncertainty Quantification in Inverse Kinematics Computation of Space Robots by NeuralNetworks
- Chapter 5. Metamodel-Based Simulation Optimization: A Systematic Literature Review
- Chapter 6. Principal Component Analysis: An Overview and Applications in Multivariate Engineering Problems
- Chapter 7. Challenges for Structural Health Monitoring: Nonlinearities and Uncertainties
- Chapter 8. Sensor Placement Optimization of a Helicopter Main Rotor Blade
- Chapter 9. Challenges for Structural Health Monitoring: Nonlinearities and Uncertainties
- Chapter 10. Applications of Numerical and Statistical Methods for Monitoring and Control Engineering Variables in a Concrete Dam
- Chapter 11. Application of Statistical Processing Techniques to the Impedance-based SHM for the Oil& Gas Industry
- Chapter 12. On Error Estimators and Bayesian Approaches in Computational Model Validation
Chapter 13. On Kriging Techniques & Impedance-based SHM as Applied to Damage Detection in 2D Structures - Chapter 14. Time Series Models and Expansion Optimal Linear Estimation for Time-DependentReliability Analysis
- Chapter 15. Bayesian Optimal Experimental Design
- Chapter 16. Airplane Optimal Robust Design Combined with an Entropy-Statistics UnsupervisedLearning Classification Algorithm
- Chapter 17. On Error Estimators and Bayesian Approaches in Computational Model Validation
- Chapter 18. Random Fatigue Under Uniaxial and Multiaxial Loading Conditions
- Chapter 19. On Error Estimators and Bayesian Approaches in Computational Model Validation