Study on a novel field-measured load calibration method for the life assessment of the metro bogie frame

转向架 结构工程 帧(网络) 校准 可靠性(半导体) 航程(航空) 影响线 使用寿命 频域 计算机科学 一致性(知识库) 压力(语言学) 工程类 可靠性工程 数学 统计 机械工程 物理 量子力学 哲学 航空航天工程 人工智能 功率(物理) 语言学 计算机视觉
作者
Zifan Zhang,Changle Ru,Qiang Li
出处
期刊:Engineering Failure Analysis [Elsevier]
卷期号:136: 106209-106209 被引量:3
标识
DOI:10.1016/j.engfailanal.2022.106209
摘要

Aiming at solving the problem of premature fatigue failure of the bogie frame of a metro vehicle during service, this paper mainly studies the method of accurately predicting the fatigue life of the bogie frame of a metro train through the measured load. To correct the error between the calculated damage and real damage value, a hybrid frequency-time calibration method is proposed. Based on the quasi-static relationship between the load and stress as well as the basic theory of the multiaxial spectral method, the expression of stress statistics in the frequency domain is derived considering the correlation of multiple loads. According to the damage consistency principle, the NSGA-II multi-objective optimization algorithm is used to calibrate the load system. Based on the frequency domain calibration results, the dynamic stress time history could be acquired by the Inverse Fast Fourier Transform (IFFT) method. The results show that the calculated damage through the calibrated load completely covers the real damage value, and the ratio range between them is 1.10–1.42. The above results indicate that the calibrated load can be used for the reliability design of later structural optimization.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
by完成签到 ,获得积分20
刚刚
研友_EZ1KkL完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
1秒前
2秒前
0009987完成签到,获得积分10
2秒前
2秒前
ding应助月不笑采纳,获得10
2秒前
suohaiyun发布了新的文献求助10
3秒前
小二郎应助科研通管家采纳,获得10
3秒前
3秒前
小宋发布了新的文献求助10
3秒前
大个应助科研通管家采纳,获得30
3秒前
吃人陈发布了新的文献求助10
3秒前
斯文败类应助科研通管家采纳,获得10
3秒前
烟花应助科研通管家采纳,获得10
3秒前
liuchengrui应助科研通管家采纳,获得10
3秒前
情怀应助科研通管家采纳,获得10
3秒前
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
kagaminelen完成签到,获得积分10
3秒前
爆米花应助科研通管家采纳,获得10
3秒前
量子星尘发布了新的文献求助10
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
科目三应助科研通管家采纳,获得10
3秒前
共享精神应助科研通管家采纳,获得10
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
BowieHuang应助科研通管家采纳,获得10
3秒前
深情安青应助科研通管家采纳,获得10
4秒前
Owen应助科研通管家采纳,获得10
4秒前
mengtingmei应助科研通管家采纳,获得10
4秒前
JamesPei应助科研通管家采纳,获得10
4秒前
Lucas应助科研通管家采纳,获得10
4秒前
xdd完成签到,获得积分10
4秒前
小蘑菇应助科研通管家采纳,获得10
4秒前
星辰大海应助科研通管家采纳,获得10
4秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5718762
求助须知:如何正确求助?哪些是违规求助? 5254117
关于积分的说明 15287024
捐赠科研通 4868786
什么是DOI,文献DOI怎么找? 2614471
邀请新用户注册赠送积分活动 1564338
关于科研通互助平台的介绍 1521791