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随机不确定性下Kriging辅助的谐波减速器柔轮疲劳寿命预测

冯世哲 马继超 张德权 杨美德 韩旭

计算力学学报2023,Vol.40Issue(6):936-943,8.
计算力学学报2023,Vol.40Issue(6):936-943,8.DOI:10.7511/jslx20220628001

随机不确定性下Kriging辅助的谐波减速器柔轮疲劳寿命预测

Kriging-assisted fatigue life prediction of harmonic reducer flexible wheel under random uncertainty

冯世哲 1马继超 1张德权 1杨美德 1韩旭1

作者信息

  • 1. 河北工业大学机械工程学院,天津 300401||河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,天津 300401
  • 折叠

摘要

Abstract

As the core transmission of a harmonic reducer,the flexible wheel is prone to failure under cyclic loads,whose fatigue life can directly affect the life of the entire harmonic reducer.To reveal the influence of random uncertainties on the life of the flexible wheel,this study explores its fatigue life prediction by accounting for the uncertainties arising from material properties and loads.Firstly,the three-dimensional model and the finite element model of flexible wheel are established,and the fatigue life of flexible wheel under deterministic conditions is computed using finite element analysis and life prediction strategy.Subsequently,uncertainties are designated according to the material properties and loads,and the Latin hypercube sampling technique is employed to experimentally design the flexible wheel.Finally,according to the active learning Kriging model and P-S-N curve of the flexible wheel material,the fatigue life analysis is performed by sequentially adding points.Comparisons are conducted between the statistical and deterministic results of the fatigue life of the flexible wheel.Results indicate that the fatigue life considering random uncertainties is shorter compared with the one under deterministic conditions,which offers a reference for the fatigue resistance design of flexible wheels.

关键词

谐波减速器柔轮/疲劳寿命/有限元分析/随机不确定性/主动学习Kriging模型

Key words

harmonic reducer flexible wheel/fatigue life/finite element analysis/random uncertainty/active learning Kriging model

分类

机械制造

引用本文复制引用

冯世哲,马继超,张德权,杨美德,韩旭..随机不确定性下Kriging辅助的谐波减速器柔轮疲劳寿命预测[J].计算力学学报,2023,40(6):936-943,8.

基金项目

国家自然科学基金青年基金(12102119) (12102119)

河北省重点研发计划(19211808D) (19211808D)

河北省教育厅青年基金(QN2020211)资助项目. (QN2020211)

计算力学学报

OA北大核心CSCDCSTPCD

1007-4708

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