Reliability-based design optimization of knuckle component using conservative method of moving least squares meta-models

This paper discusses reliability-based design optimization (RBDO) of an automotive knuckle component under bump and brake loading conditions. The probabilistic design problem is to minimize the weight of a knuckle component subject to stresses, deformations, and frequency constraints in order to mee...

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Veröffentlicht in:Probabilistic engineering mechanics Jg. 26; H. 2; S. 364 - 379
Hauptverfasser: Song, Chang Yong, Lee, Jongsoo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.04.2011
Elsevier
Schlagworte:
Applied sciences
Automotive components
Automotive engineering
Automotive knuckle
Constraint-Feasible Moving Least Squares Method (CF-MLSM)
Design engineering
Design optimization
Drives
Exact sciences and technology
Finite element method
Least squares method
Mechanical engineering. Machine design
Moving Least Squares Method (MLSM)
Operational research and scientific management
Operational research. Management science
Optimization
Probabilistic methods
Probability theory
Reliability Based Design Optimization (RBDO)
Reliability theory. Replacement problems
Shafts, couplings, clutches, brakes
Constraint-Feasible Moving Least Squares Method (CF-MLSM)
Automotive knuckle
Reliability Based Design Optimization (RBDO)
Moving Least Squares Method (MLSM)
Motor car
Probabilistic approach
Specification
Ball joint
Humped road
Modeling
Optimization
Weight
Optimal design
Metaanalysis
Engineering design
Constraint-Feasible Moving Least Squares
Least squares method
Inequality constraint
Feasibility
Method (CF-MLSM)
Reliability
Brake
Metamodel
ISSN:0266-8920, 1878-4275
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Zusammenfassung:This paper discusses reliability-based design optimization (RBDO) of an automotive knuckle component under bump and brake loading conditions. The probabilistic design problem is to minimize the weight of a knuckle component subject to stresses, deformations, and frequency constraints in order to meet the given target reliability. The initial design is generated based on an actual vehicle specification. The finite element analysis is conducted using ABAQUS, and the probabilistic optimal solutions are obtained via the moving least squares method (MLSM) in the context of approximate optimization. For the meta-modeling of inequality constraint functions, a constraint-feasible moving least squares method (CF-MLSM) is used in the present study. The method of CF-MLSM based RBDO has been shown to not only ensure constraint feasibility in a case where the meta-model-based RBDO process is employed, but also to require low expense, as compared with both conventional MLSM and non-approximate RBDO methods.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0266-8920
1878-4275
DOI:10.1016/j.probengmech.2010.09.004