Fatigue crack detection performance comparison in a composite wind turbine rotor blade

被引：18

作者：

Taylor, Stuart G. ^{[1
,2
]}

Park, Gyuhae ^{[2
,3
]}

Farinholt, Kevin M. ^{[4
]}

Todd, Michael D. ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Struct Engn, La Jolla, CA 92093 USA

[2] Los Alamos Natl Lab, Los Alamos, NM USA

[3] Chonnam Natl Univ, Sch Mech Syst Engn, Kwangju, South Korea

[4] Commonwealth Ctr Adv Mfg, Disputanta, VA USA

来源：

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL | 2013年 / 12卷 / 03期

关键词：

Fatigue crack; detection performance; wind turbine; rotor blade; guided waves; diffuse wave field; composite structures;

D O I：

10.1177/1475921712471414

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This article presents the detection performance results for multiple detectors or test statistics, using different active-sensing hardware systems in identifying the presence and location of a through-thickness fatigue crack in a 9-m composite wind turbine rotor blade. The rotor blade underwent similar to 8.5 million cycles of fatigue loading until failure, when a 30-cm-long crack surfaced on the leading edge portion of the blade's transitional root area. The rotor blade was cantilevered on a 7-ton test stand and excited using a hydraulically actuated resonant excitation system, which drove the rotor blade at its first natural frequency. Through the course of the test, data were collected using two distinct types of acquisition hardware: one designed for ultrasonic-guided wave interrogation and the other for diffuse wave field interrogation. This article presents the fatigue crack detection performance results for several hardware and test statistic combinations.

引用

页码：252 / 262

页数：11

共 20 条

[11]

Kessler S. S., 2009, ANN C PROGN HLTH MAN

[12]

LeBlanc B, 2012, TOPICS MODAL ANAL 2, V31, P277

[13] On the emergence of the Green's function in the correlations of a diffuse field [J].

Lobkis, OI ;

Weaver, RL .

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2001, 110 (06) :3011-3017

[14] Feature Extraction and Sensor Fusion for Ultrasonic Structural Health Monitoring Under Changing Environmental Conditions [J].

Lu, Yinghui ;

Michaels, Jennifer E. .

IEEE SENSORS JOURNAL, 2009, 9 (11) :1462-1471

[15] A comparison of feature-based classifiers for ultrasonic structural health monitoring [J].

Michaels, JE ;

Cobb, AC ;

Michaels, TE .

HEALTH MONITORING AND SMART NONDESTRUCTIVE EVALUATION OF STRUCTURAL AND BIOLOGICAL SYSTEM III, 2004, 5394 :363-374

[16]

Park G, 2010, 5 EUR WORKSH STRUCT, P321

[17]

Rumsey M, 46 AIAA AER SCI M HE

[18] On assessing the robustness of structural health monitoring technologies [J].

Stull, Christopher J. ;

Hemez, Francois M. ;

Farrar, Charles R. .

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2012, 11 (06) :712-723

[19]

Taylor S. G., 2012, ADV STRUCTURAL HLTH

[20]

Taylor SG, 2012, SPIE SMART STRUCTURE

← 1 2 →