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发表时间：2014-01-01

发表刊物：工程设计学报

所属单位：运载工程与力学学部

期号：1

页面范围：14-17,26

ISSN号：1006-754X

摘要：Based on Bayesian statistics theory and structural reliability-based optimization design , the paper presents a new reliability-based optimization design approach with confidence level that solves the form of finite test samples .The structural reliability was considered as a random varia-ble ,according to prior information and sample information ,and the method adopted a Bayesian in-ference technique to get probability distribution of reliability ,w hich gave point estimation and confidence level of Bayesian reliability .Structural reliability-based optimization model with confi-dence level was established and the structural reliability-based optimization approach with confi-dence level was proposed .The new research approach and new direction for structure reliability-based design in small-sample situation are provided .The numerical results illustrate the method presented is an efficient and accurate structural reliability-based optimization approach with confi-dence level .

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