contributor author | Dian-Yin Hu | |
contributor author | Jun-Jie Yang | |
contributor author | Cheng-Wei Fei | |
contributor author | Rong-Qiao Wang | |
contributor author | Yat-Sze Choy | |
date accessioned | 2017-12-16T09:22:29Z | |
date available | 2017-12-16T09:22:29Z | |
date issued | 2017 | |
identifier other | %28ASCE%29AS.1943-5525.0000671.pdf | |
identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4242046 | |
description abstract | To improve the computational efficiency of the reliability-based design optimization (RBDO) of a complex structure with nonlinear and implicit limit-state function, the single-loop-single-vector (SLSV)-limit-state factor (LSF) (SLSV-LSF) method was developed by fully considering the advantages of the SLSV approach and the LSF method to transform uncertain constraints into deterministic constraints. The mathematical models of SLSV and LSF were established and the basic RBDO process of the SLSV-LSF method is presented. The shape optimization of an aeroengine turbine disk was completed based on the proposed method. From the reliability sensitivity analysis of the turbine disk, it is revealed that an uncertain constraint of average circumferential stress can be transformed into a deterministic constraint and material density can be regarded as a deterministic variable. Through the min-mass shape design of the turbine disk based on different approaches, it is demonstrated that the developed method maintains high computational speed and efficiency while keeping maintaining computational accuracy, which validates the feasibility and validity of the SLSV-LSF method in the RBDO of aeroengine typical components. | |
publisher | American Society of Civil Engineers | |
title | Reliability-Based Design Optimization Method of Turbine Disk with Transformed Deterministic Constraints | |
type | Journal Paper | |
journal volume | 30 | |
journal issue | 1 | |
journal title | Journal of Aerospace Engineering | |
identifier doi | 10.1061/(ASCE)AS.1943-5525.0000671 | |
tree | Journal of Aerospace Engineering:;2017:;Volume ( 030 ):;issue: 001 | |
contenttype | Fulltext | |