Frequency Domain Analysis of the Fatigue Loads on Typical Wind Turbine BladesSource: Journal of Solar Energy Engineering:;1996:;volume( 118 ):;issue: 004::page 204Author:H. J. Sutherland
DOI: 10.1115/1.2871779Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The fatigue analysis of a wind turbine blade typically depends on converting time-series data to a series of load cycles using one of several cyclic counting algorithms. However, many structural analysis techniques yield frequency-domain stress spectra, and a large body of experimental loads (stress) data is reported in the frequency domain. To permit the fatigue analysis of this class of data, a series of computational algorithms based on Fourier analysis techniques has been developed. The principle underlying these algorithms is the use of an Inverse Fast Fourier Transform (FFT) to transform the frequency spectrum to an equivalent time series suitable for cycle counting. In addition to analyzing the fatigue loads along the primary blade axes, this analysis technique also permits the examination of “off-axis” bending loads. These algorithms, which have been incorporated in the LIFE2 fatigue analysis code for wind turbines, are illustrated and evaluated with data from typical wind turbine blades.
keyword(s): Fatigue , Stress , Blades , Frequency-domain analysis , Wind turbines , Algorithms , Fatigue analysis , Cycles , Spectra (Spectroscopy) , Time series , Structural analysis , Fast Fourier transforms AND Fourier analysis ,
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contributor author | H. J. Sutherland | |
date accessioned | 2017-05-08T23:51:29Z | |
date available | 2017-05-08T23:51:29Z | |
date copyright | November, 1996 | |
date issued | 1996 | |
identifier issn | 0199-6231 | |
identifier other | JSEEDO-28267#204_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/117592 | |
description abstract | The fatigue analysis of a wind turbine blade typically depends on converting time-series data to a series of load cycles using one of several cyclic counting algorithms. However, many structural analysis techniques yield frequency-domain stress spectra, and a large body of experimental loads (stress) data is reported in the frequency domain. To permit the fatigue analysis of this class of data, a series of computational algorithms based on Fourier analysis techniques has been developed. The principle underlying these algorithms is the use of an Inverse Fast Fourier Transform (FFT) to transform the frequency spectrum to an equivalent time series suitable for cycle counting. In addition to analyzing the fatigue loads along the primary blade axes, this analysis technique also permits the examination of “off-axis” bending loads. These algorithms, which have been incorporated in the LIFE2 fatigue analysis code for wind turbines, are illustrated and evaluated with data from typical wind turbine blades. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Frequency Domain Analysis of the Fatigue Loads on Typical Wind Turbine Blades | |
type | Journal Paper | |
journal volume | 118 | |
journal issue | 4 | |
journal title | Journal of Solar Energy Engineering | |
identifier doi | 10.1115/1.2871779 | |
journal fristpage | 204 | |
journal lastpage | 211 | |
identifier eissn | 1528-8986 | |
keywords | Fatigue | |
keywords | Stress | |
keywords | Blades | |
keywords | Frequency-domain analysis | |
keywords | Wind turbines | |
keywords | Algorithms | |
keywords | Fatigue analysis | |
keywords | Cycles | |
keywords | Spectra (Spectroscopy) | |
keywords | Time series | |
keywords | Structural analysis | |
keywords | Fast Fourier transforms AND Fourier analysis | |
tree | Journal of Solar Energy Engineering:;1996:;volume( 118 ):;issue: 004 | |
contenttype | Fulltext |