Bayesian Reliability-Based Optimization Design of Torsion Bar

Xiang Dong He; Jun Yan Huang; Shu Tian Liu

doi:10.4028/www.scientific.net/AMR.538-541.3085

Paper Titles

Intelligent Optimization Design of Rare Earth Lifting Permanent Magnet
p.3066

Research and Design on Long-Distance Large-Capacity and High-Speed Belt Conveyor
p.3070

Adaptive Particle Swarm Optimization with Dynamic Population and its Application to Constrained Engineering Design Optimization
p.3074

About ARM9 Car-Inserted GPRS Terminal Design
p.3079

Bayesian Reliability-Based Optimization Design of Torsion Bar
p.3085

Study on New Escape Chute Device of High-Rise Building
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Optimization of the Scavenging System Based on Specific Time-Area Value of a Compact Two-Stroke Gasoline Engine
p.3094

A Framework for New Product Selection Decision Using Analytic Network Process and Knowledge Management
p.3098

Parametric Design of Cycloid Gear Based on SolidWorks
p.3106

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Bayesian Reliability-Based Optimization Design of Torsion Bar

Abstract:

Based on bayesian statistics theory and reliability-based optimization design, the research presents a new reliability-based optimization design approach that solves the form of finite test samples. In the article, the bayesian reliability-based optimization mathematical model is established and the bayesian reliability-based optimization approach of torsion bar is proposed. The method adopts a bayesian inference technique to estimate reliability, gives definition of bayesian reliability. The results illustrates the method presented is an efficient and practical reliability-based optimization approach of torsion bar.