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| 1 | Distributed collaborative extremum response surface method for mechanical dynamic assembly reliability analysis显示文摘To make the dynamic assembly reliability analysis more effective for complex machinery of multi-object multi-discipline(MOMD),distributed collaborative extremum response surface method(DCERSM)was proposed based on extremum response surface method(ERSM).Firstly,the basic theories of the ERSM and DCERSM were investigated,and the strengths of DCERSM were proved theoretically.Secondly,the mathematical model of the DCERSM was established based upon extremum response surface function(ERSF).Finally,this model was applied to the reliability analysis of blade-tip radial running clearance(BTRRC)of an aeroengine high pressure turbine(HPT)to verify its advantages.The results show that the DCERSM can not only reshape the possibility of the reliability analysis for the complex turbo machinery,but also greatly improve the computational speed,save the computational time and improve the computational efficiency while keeping the accuracy.Thus,the DCERSM is verified to be feasible and effective in the dynamic assembly reliability(DAR)analysis of complex machinery.Moreover,this method offers an useful insight for designing and optimizing the dynamic reliability of complex machinery. | 费成巍 白广忱 | 2013 | Journal of Central South University2013，20，9： | 7 |
| 2 | Transient reliability optimization for turbine disk radial deformation显示文摘The radial deformation design of turbine disk seriously influences the control of gas turbine high pressure turbine(HPT) blade-tip radial running clearance(BTRRC). To improve the design of BTRRC under continuous operation, the nonlinear dynamic reliability optimization of disk radial deformation was implemented based on extremum response surface method(ERSM), including ERSM-based quadratic function(QF-ERSM) and ERSM-based support vector machine of regression(SR-ERSM). The mathematical models of the two methods were established and the framework of reliability-based dynamic design optimization was developed. The numerical experiments demonstrate that the proposed optimization methods have the promising potential in reducing additional design samples and improving computational efficiency with acceptable precision, in which the SR-ERSM emerges more obviously. Through the case study, we find that disk radial deformation is reduced by about 6.5×10–5 m; δ=1.31×10–3 m is optimal for turbine disk radial deformation design and the proposed methods are verified again. The presented efforts provide an effective optimization method for the nonlinear transient design of motion structures for further research, and enrich mechanical reliability design theory. | 费成巍 白广忱 唐文忠 蔡逸思 高海峰 | 2016 | Journal of Central South University2016，23，2： | 0 |
| 3 | 基于粒子群极值Kriging模型的压气机叶盘时变可靠性分析显示文摘为了有效实现航空发动机低压压气机叶盘径向变形的动态时变可靠性分析,基于Kriging模型,结合粒子群算法(particle swarm optimization,PSO)与极值思想,提出了粒子群极值Kriging模型(particle swarm optimization extremum Kriging model,PSOEKM)方法。阐述了PSOEKM方法的分析原理;论述了PSOEKM方法的建模思想;探究了基于PSOEKM方法的时变可靠性分析实现途径;以航空发动机低压压气机叶盘为案例,运用PSOEKM实现其动态可靠性分析。分析结果表明:当压气机叶盘径向变形许用值为1.594×10^(-3) m时,可靠度为99.76%。通过方法对比显示:PSOEKM方法具有较高的分析精度与计算效率。所提出的PSOEKM方法为复杂结构时变可靠性分析提供了一种新的研究思路。 | 王远卓 韩治国 杨子煜 路成 薛小锋 | 2021 | 西北工业大学学报2021，39，6： | 0 |
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