基于 AK-MCS 的涡轮机盘概率疲劳寿命预测框架,含平均应力校正模型

IF 2.2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Yun Wang, Yan‐Feng Li, Hong‐Zhong Huang, Song Bai
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引用次数: 0

摘要

涡轮盘在航空航天发动机中起着至关重要的作用,对其疲劳寿命和整体可靠性有重大影响。由于存在很大的不确定性,设计一种涡轮盘疲劳寿命概率分析方法变得至关重要。本文介绍了一种新颖的框架,它将自适应克里金蒙特卡罗模拟(AK-MCS)与平均应力校正模型相结合,可有效评估疲劳寿命分布。AK-MCS 是一种构建克里金模型的算法,可有效减少对大量有限元分析的需求。此外,还为马森-科芬方程提出了一个平均应力修正模型,专门用于 GH4133 盘材料的疲劳寿命预测。该模型经经验验证是有效的。所提出的概率疲劳寿命分析框架不仅具有相当大的工程价值,还为解决该领域的类似难题提供了创新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An AK‐MCS‐based probabilistic fatigue life prediction framework for turbine disc with a mean stress correction model
The turbine disc plays a crucial role in aerospace engine, significantly influencing both their fatigue life and overall reliability. Due to the substantial uncertainties present, devising a method for the probabilistic analysis of turbine disc fatigue life becomes crucial. This paper introduces a novel framework that combines adaptive Kriging Monte Carlo simulation (AK‐MCS) with a mean stress correction model to evaluate fatigue life distribution effectively. AK‐MCS, stands out as an algorithm that constructs a Kriging model, effectively reducing the need for an extensive finite element analysis. Furthermore, a mean stress correction model is proposed for the Masson‐Coffin equation tailored for fatigue life prediction of GH4133 disc material. This model has been empirically validated to be effective. The presented framework for probabilistic fatigue life analysis not only holds considerable engineering value but also offers innovative approaches for tackling analogous challenges in the field.
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来源期刊
CiteScore
4.90
自引率
21.70%
发文量
181
审稿时长
6 months
期刊介绍: Quality and Reliability Engineering International is a journal devoted to practical engineering aspects of quality and reliability. A refereed technical journal published eight times per year, it covers the development and practical application of existing theoretical methods, research and industrial practices. Articles in the journal will be concerned with case studies, tutorial-type reviews and also with applications of new or well-known theory to the solution of actual quality and reliability problems in engineering. Papers describing the use of mathematical and statistical tools to solve real life industrial problems are encouraged, provided that the emphasis is placed on practical applications and demonstrated case studies. The scope of the journal is intended to include components, physics of failure, equipment and systems from the fields of electronic, electrical, mechanical and systems engineering. The areas of communications, aerospace, automotive, railways, shipboard equipment, control engineering and consumer products are all covered by the journal. Quality and reliability of hardware as well as software are covered. Papers on software engineering and its impact on product quality and reliability are encouraged. The journal will also cover the management of quality and reliability in the engineering industry. Special issues on a variety of key topics are published every year and contribute to the enhancement of Quality and Reliability Engineering International as a major reference in its field.
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