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

Author(s)

Pavlack, Bruna ^{[1, 2]} ; Paixao, Jesse ^[1] ; da Silva, Samuel ^[1] ; Cunha, Jr., Americo ^[3] ; Garcia Cava, David ^[4]

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

• 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