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作者:

Cheng, Jun (Cheng, Jun.) | He, Cunfu (He, Cunfu.) (学者:何存富) | Lyu, Yan (Lyu, Yan.) | Zheng, Yang (Zheng, Yang.) | Xie, Longyang (Xie, Longyang.)

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EI Scopus SCIE

摘要:

The structural damage in the main shaft threatens the service safety of the wind turbine directly. The mechanical properties of the in-service main shaft tend to degrade severely due to the transverse cracks extending from the outer circumference. In the health monitoring of the shaft, it is of great importance not only to identify the cracks, but also to accurately evaluate the crack size. In this research, a novel quantitative method is proposed for the transverse crack characterization. The diffracted waves from the crack tip received in the central hole of the shaft are used to construct elliptic trajectories of beam path. The crack position and its depth can be determined by the intersection of the trajectories. Furthermore, a crack size quantification model is established, and the numerical demonstration is given for evaluation of crack position and depth. Meanwhile, an acoustic finite element model is developed, in which the path of the acoustic waves radiated from the end face of the shaft is analyzed in detail. The quantitative method is well confirmed by the simulation of cracks at different locations with different depths. Considering the accuracy of crack evaluation from a large size zone, the time of diffracted echo is calibrated by measuring the time shift of the transducers. A shaft sample with a transverse crack was used to implement the experimental verification. Totally, the sizing error is less than 5 mm, which indicates that this proposed method is effective for the evaluation of surface cracks in the main shaft.

关键词:

crack evaluation wind turbine main shaft ultrasonic diffraction elliptic trajectories

作者机构:

  • [ 1 ] [Cheng, Jun]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 2 ] [He, Cunfu]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 3 ] [Lyu, Yan]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 4 ] [Xie, Longyang]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 5 ] [Zheng, Yang]China Special Equipment Inspect & Res Inst, Beijing, Peoples R China

通讯作者信息:

  • [Lyu, Yan]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China

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来源 :

SMART MATERIALS AND STRUCTURES

ISSN: 0964-1726

年份: 2020

期: 7

卷: 29

4 . 1 0 0

JCR@2022

ESI学科: MATERIALS SCIENCE;

ESI高被引阀值:169

被引次数:

WoS核心集被引频次: 7

SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

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