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Transient probabilistic analysis for turbine blade-tip radial clearance with multi-component and multi-physics fields based on DCERSM

机译:基于DCERSM的多分量多物理场涡轮叶片径向间隙瞬态概率分析

摘要

Against the background of the probabilistic analysis for High Pressure Turbine (HPT) Blade-tip Radial Running Clearance (BRRC) to achieve the high-performance and high-reliability of aeroengine, Distributed Collaborative Extremum Response Surface Method (DCERSM) was proposed for the dynamic probabilistic analysis of complex turbomachinery on the foundation of quadratic polynomials response surface model. On the basis of deeply investigating Extremum Response Surface Method (ERSM), the mathematical model of DCERSM was established based on quadratic polynomial function. As illustrated in BRRC transient probabilistic analysis with multiple components and multi-physics fields based on DCERSM, blade-tip radial static clearance δ =1.82 mm is advisable synthetically considering the reliability and working efficiency of gas turbine. The reliability, distribution characteristics and failure probability of BRRC are obtained. Besides, rotational speed ‰ and gas temperature T are the most important factors and expansivity coefficients and surface coefficients of heat transfer show also important influence on BRRC variation. Through the comparison of three methods (DCERSM, ERSM, Monte Carlo method), it is demonstrated that DCERSM reshapes the possibility of complex turbomachinery probabilistic analysis and improves computing efficiency while preserving the accuracy. DCERSM offers a useful insight for BRRC dynamic reliability design and optimization with multi-object and multi-discipline. The efforts of this study also enrich the theory and method of mechanical reliability design.
机译:针对高压涡轮(HPT)叶片尖端径向游隙(BRRC)的概率分析,以实现航空发动机的高性能和高可靠性,提出了一种分布式协同极值响应面法(DCERSM)来进行动态分析。基于二次多项式响应面模型的复杂涡轮机械概率分析。在深入研究极值响应面法(ERSM)的基础上,建立了基于二次多项式函数的DCERSM数学模型。如基于DCERSM的具有多个成分和多个物理场的BRRC瞬态概率分析所示,综合考虑燃气轮机的可靠性和工作效率,建议叶尖径向静间隙δ= 1.82 mm。得到了BRRC的可靠性,分布特性和失效概率。此外,转速‰和气体温度T是最重要的因素,传热系数和传热系数对BRRC变化也具有重要影响。通过比较三种方法(DCERSM,ERSM,蒙特卡洛方法),证明DCERSM重塑了复杂涡轮机械概率分析的可能性,并在保持精度的同时提高了计算效率。 DCERSM为多目标,多学科的BRRC动态可靠性设计和优化提供了有用的见识。这项研究的努力也丰富了机械可靠性设计的理论和方法。

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