摘要
在基于仿真的汽车设计中,针对响应面模型普遍存在的精度不高的问题,研究了基于贝叶斯推断的模型外推预测方法,提出了模型不确定性下基于偏差修正的模型外推及可靠性设计优化方法,并通过一个汽车轻量化设计实例验证了所提方法的有效性。
In simulation-based vehicle design,the Bayesian inference based model extrapolation method was further investigated,that was previously proposed by the authors,and a systematic bias corrected model extrapolation and RBDO under uncertainty was introduced.A real-world lightweight design problem of vehicle was employed to demonstrate the validity of the proposed method.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2016年第7期853-858,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(51405041)
汽车噪声振动和安全技术国家重点实验室开放课题(NVHSKL-201412)
上海交通大学机械系统与振动国家实验室开放课题(MSV-2015-11)
关键词
响应面
偏差修正
可靠性设计优化
模型外推
response surface
bias-correction
reliability-based design optimization（RBDO）
model extrapolation
