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Experimental High Cycle Fatigue Testing and Shape Optimization of Turbine Blades.

机译:涡轮叶片的实验性高周疲劳测试和形状优化。

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摘要

An accelerated high cycle fatigue testing approach is presented to determine the fatigue endurance limit of materials at high frequencies. Base excitation of a tapered plaque driven into a high frequency resonance mode allows the test to be completed in a significantly shorter time. This high cycle fatigue testing is performed using the tracked sine resonance search and dwell strategy. The controller monitors the structural health during the test. Any change in the dynamic response indicates crack initiation in the material.;In addition, a shape optimization finite element model is conducted for the design of the tapered plaques. An integrated neural (Neural-Network) genetic (NSGA_II) optimization technique is implemented to carry out the shape optimization for this component. This process results in a significant reduction in the computational cost. A Pareto set is then produced that meets the designer's requirements and provides the decision maker several alternatives to choose from.
机译:提出了一种加速的高周疲劳测试方法来确定材料在高频下的疲劳极限。驱动到高频共振模式的锥形板的基本激励可以在短得多的时间内完成测试。使用跟踪的正弦共振搜索和驻留策略执行此高循环疲劳测试。控制器在测试过程中监视结构的健康状况。动态响应的任何变化都表明材料中出现了裂纹萌生。此外,还进行了形状优化的有限元模型来设计锥形板。实现了集成的神经(神经网络)遗传(NSGA_II)优化技术,以对该组件进行形状优化。此过程可显着降低计算成本。然后生产出满足设计人员要求的帕累托组合,并为决策者提供多种选择。

著录项

  • 作者

    Ahmadi Tafti, Mohamad.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Mechanical engineering.
  • 学位 M.A.Sc.
  • 年度 2013
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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