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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

olynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blade

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Author(s):
Pavlack, Bruna [1, 2] ; Paixao, Jesse [1] ; da Silva, Samuel [1] ; Cunha, Jr., Americo [3] ; Garcia Cava, David [4]
Total Authors: 5
Affiliation:
[1] UNESP Univ Estadual Paulista, Dept Engn Mecan, Av Brasil 56, BR-15385000 Ilha Solteira - Brazil
[2] IFMS Inst Fed Mato Grosso Sul, Tres Lagoas - Brazil
[3] Univ Estado Rio de Janeiro, Rio De Janeiro - Brazil
[4] Univ Edinburgh, Inst Infrastruct & Environm, Sch Engn, Edinburgh, Midlothian - Scotland
Total Affiliations: 4
Document type: Journal article
Source: STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL; v. 21, n. 2 MAY 2021.
Web of Science Citations: 0
Abstract

This study aims to investigate the performance of a data-driven methodology for quantifying damage based on the use of a metamodel obtained from the Polynomial Chaos-Kriging method. The investigation seeks to quantify the severity of the damage, described by a specific type of debonding in a wind turbine blade as a function of a damage index. The damage indexes used are computed using a data-driven vibration-based structural health monitoring methodology. The blade's debonding damage is introduced artificially, and the blade is excited with an electromechanical actuator that introduces a mechanical impulse causing the impact on the blade. The acceleration responses' vibrations are measured by accelerometers distributed along the trailing and the wind turbine blade. A metamodel is formerly obtained through the Polynomial Chaos-Kriging method based on the damage indexes, trained with the blade's healthy condition and four damage conditions, and validated with the other two damage conditions. The Polynomial Chaos-Kriging manifests promising results for capturing the proper trend for the severity of the damage as a function of the damage index. This research complements the damage detection analyses previously performed on the same blade. (AU)

FAPESP's process: 17/15512-8 - Applications of model identification of guided wave propagation in composite structures for damage prognosis
Grantee:Samuel da Silva
Support Opportunities: Scholarships abroad - Research
FAPESP's process: 18/15671-1 - Damage quantification in composite material structures using extrapolation of autoregressive models coefficients
Grantee:Jessé Augusto dos Santos Paixão
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 19/19684-3 - Nonlinear structural health monitoring of structures assembled by bolted joints
Grantee:Samuel da Silva
Support Opportunities: Regular Research Grants
FAPESP's process: 19/11755-9 - A new baseline-free method using Gaussian process for damage quantification of composite structures
Grantee:Jessé Augusto dos Santos Paixão
Support Opportunities: Scholarships abroad - Research Internship - Master's degree