A Full-Scale Fatigue Test of 9-m CX-100 Wind Turbine Blades

Abstract

This paper presents the SHM result of a 9m CX-100 wind turbine blade under full-scale fatigue loads. The test was performed at the National Renewable Energy Laboratory. The 9-meter blade was instrumented with piezoelectric transducers, accelerometers, acoustic emission sensors, and foil strain gauges on the surface of the blade. The blade underwent fatigue excitation at 1.8 Hz for defined intervals, and data from the sensors were collected between and during fatigue loading sessions. The data were measured at multi-scale, high frequency ranges for identifying fatigue damage initiation, and low-frequency ranges for assessing damage progression. High and Low frequency response functions, time series based methods, and Lamb wave date measured by piezoelectric transducers were utilized to analyze the condition of the turbine blade, along with other sensing systems (acoustic emission). A specially designed hardware developed by Los Alamos National Laboratory was also implemented for performance comparison. This paper summarizes considerations needed to design such SHM systems, experimental procedures and results, and additional issues that can be used as guidelines for future investigations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA585128

Entities

People

  • Charles R. Farrar
  • Gyuhae Park
  • Kevin M. Farinholt
  • Stuart G. Taylor

Organizations

  • Los Alamos National Laboratory

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Accelerometers
  • Composite Materials
  • Detectors
  • Dynamic Response
  • Energy
  • Excitation
  • Frequency
  • Frequency Response
  • Materials
  • Measurement
  • Piezoelectric Transducers
  • Renewable Energy
  • Signal Processing
  • Structural Health Monitoring
  • Transducers
  • Turbine Blades
  • Wind Turbines

Fields of Study

  • Physics

Readers

  • Aerodynamics.
  • Aerospace Test and Evaluation
  • Materials Science (Mechanical Engineering).