Design optimization of composite wind turbine blades considering tortuous lightning strike and non-proportional multi-axial fatigue damage

Weifei Hu, Wentao Zhao, Yeqing Wang, Zhenyu Liu, Jin Cheng, Jianrong Tan

Research output: Contribution to journalArticlepeer-review

Abstract

This article presents a design optimization framework which integrates realistic lightning strike electrostatic and fatigue analyses for designing reliable and economical composite wind turbine blades. The novel aspects of this work include: a parametric tortuous lightning stepped leader model that reflects one of the true natural characteristics of the lightning phenomenon; and characterization of both the lightning strike dielectric breakdown failure and multi-axial fatigue failure mechanisms for structural design of composite wind turbine blades. A case study of the structural design optimization of a 5 MW composite wind turbine blade is tested using the framework with two optimization solvers: sequential quadratic programming (SQP) and Bayesian optimization (BO). SQP produces a superior optimal design to BO. In the optimum blade design based on the SQP algorithm, the lightning safety ratio increased by 32% and the expected fatigue life increased more than 15 times compared with the initial blade design.

Original languageEnglish (US)
Pages (from-to)1868-1886
Number of pages19
JournalEngineering Optimization
Volume52
Issue number11
DOIs
StatePublished - Nov 1 2020
Externally publishedYes

Keywords

  • Bayesian optimization
  • Composite material
  • lightning strike
  • sequential quadratic programming
  • wind turbine fatigue

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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