Chaaban, Rannam: Frequency-domain fatigue analysis of wind turbine structures and fatigue damage detection: performance evaluation of spectral-based methods against the [...]. 2021
Inhalt
- Abstract
- Contents
- Nomenclature
- 1 Introduction
- 2 Random Response Fatigue Analysis
- 2.1 Preliminary Concepts and Definitions
- 2.1.1 Stationarity and Ergodicity
- 2.1.2 Probability Distribution and Probability Density Function
- 2.1.3 Histogram
- 2.1.4 Gaussian Probability Distribution
- 2.2 Fundamental Properties of Stationary Ergodic Stochastic Process
- 2.2.1 Correlation Function and Power Spectral Density
- 2.2.2 Random Response of Linear Systems
- 2.2.3 Spectral Moments, Rice Formula, and Band-Width Parameters
- 2.3 Stress Estimation
- 2.4 General Fatigue Nomenclature
- 2.5 Linear Accumulation Hypothesis (Miner's Rule)
- 2.6 Time-Domain Approach
- 2.7 Frequency-Domain Approach
- 2.7.1 Spectral Fatigue Damage Estimation of Gaussian Loading
- 2.7.1.1 Narrow-Band Approximation
- 2.7.1.2 Single-Moment Method
- 2.7.1.3 Wirsching-Light Method
- 2.7.1.4 Ortiz-Chen Method
- 2.7.1.5 Tovo-Benasciutti Methods
- 2.7.1.6 The 0.75 Method
- 2.7.1.7 Dirlik Method
- 2.7.1.8 Zhao-Baker Method
- 2.7.1.9 Petrucci-Zuccarello Method
- 2.7.1.10 Bands-Method
- 2.7.1.11 Bimodal Methods
- 2.7.2 Spectral Fatigue Damage Estimation of Non-Gaussian Loading
- 2.8 Non-Stationary Loading
- 2.8.1 Signal Decomposition Using Moving Average Trend Estimation
- 2.8.2 Projection-by-Projection Criterion
- 2.9 Fatigue Damage Estimation Procedure
- 2.10 SHM Using Comparative Sensor Data Approach
- 2.11 Chapter Summary
- 3 Modelling, Simulation and Analysis Tools
- 3.1 Wind Turbine Modelling and Simulation Tools
- 3.2 FAST Design Code
- 3.3 Reference Wind Turbine Model
- 3.4 Baseline Control System
- 3.5 Wind and Wave Loading
- 3.6 The IEC 61400 Norm
- 3.7 Fatigue Analysis Tools
- 3.8 Performance Metrics of Fatigue Damage Analysis
- 3.8.1 Characteristics of the Loading Time-Series
- 3.8.2 Fatigue Damage Analysis in Time-Domain
- 3.8.3 Fatigue Damage Analysis in Frequency-Domain
- 3.8.4 Comparison of Fatigue Damage Analysis in Time and Frequency Domains
- 3.8.5 Measured Loading
- 3.9 Weibull Scaling
- 3.10 Chapter Summary
- 4 Applications of Fatigue Damage Analysis
- 4.1 Fatigue Analysis Using Simulation Data-Set
- 4.1.1 Simulation Data-Set
- 4.1.1.1 Simulation Setup
- 4.1.1.2 Stochastic Characteristics of the Simulated Design Load Cases
- 4.1.1.3 Fatigue Damage Analysis
- 4.1.2 Onshore Wind Turbine
- 4.1.2.1 Tower Bending Moment Characteristics
- 4.1.2.2 Fatigue Analysis of Tower-Base Bending Moment in Fore-Aft Direction
- 4.1.2.3 Fatigue Analysis of Tower-Base Bending Moment in Side-Side Direction
- 4.1.2.4 Development of Fatigue Damage Estimation with Wind Speed
- 4.1.3 Floating Wind Turbines
- 4.1.4 Conclusion Obtained from Simulation Data-Set
- 4.2 Fatigue Analysis of Small Wind Turbine
- 4.2.1 Small Wind Turbine of University of Siegen
- 4.2.1.1 Wind Turbine System and Installation Site
- 4.2.1.2 Structural and Operational Data Acquisition System
- 4.2.1.3 Wind Characteristics
- 4.2.2 Structural Loading Characteristics
- 4.2.3 Fatigue Analysis
- 4.2.3.1 Fatigue Damage Estimation Using Measured Loading
- 4.2.3.2 Deterministic and Stochastic Loading Components
- 4.2.3.3 Fatigue Damage Caused by Deterministic Component
- 4.2.3.4 Fatigue Damage Resulting from the Stochastic Component
- 4.2.3.5 Fatigue Damage Estimation Using ``De-trending&PbP''
- 4.2.3.6 Accumulative Fatigue Damage
- 4.2.4 Structural Health Monitoring Using Comparative Sensor Data Approach
- 4.2.5 Discussion and Conclusion
- 4.3 Fatigue Analysis of Utility Scale Wind Turbine
- 4.3.1 Research Wind Turbine
- 4.3.2 Wind Characteristics and Operating Conditions
- 4.3.3 Tower Loading Measurements
- 4.3.4 Tower Loading Characteristics
- 4.3.5 Fatigue Analysis
- 4.3.6 A New Approach for Structural Health Monitoring
- 4.3.7 Discussion and Conclusion
- 4.4 Proof of Concept of Using Comparative Sensor Data Approach for SHM
- 4.4.1 Experimental Design
- 4.4.2 Accumulated Fatigue Damage
- 4.4.3 Comparative Sensor Data Approach as SHM System
- 4.4.3.1 Fatigue Damage Detection Using Monitoring and Reference Strain Measurements
- 4.4.3.2 Fatigue Damage Detection Using Monitoring Strain Measurement and Input Loading as Reference
- 4.4.4 Summary of Results
- 4.4.5 Conclusion
- 4.5 Chapter Summary
- 5 Conclusions and Recommendations
- Bibliography