Browse Publications Technical Papers 2004-01-1124
2004-03-08

An Excel Based Robust Design Tool for Vehicle Structural Optimization 2004-01-1124

To reduce the cost of prototype and physical test, CAE analysis has been widely used to evaluate the vehicle performance during product development process. Combining CAE analysis and optimization approach, vehicle design process can be implemented more efficiently with affordable cost. Reliability based design optimization (RBDO) formulation considers variations of input variables, such as component gauges and material properties. As a result, the design obtained by using RBDO is more reliable and robust compared to those by deterministic optimization. The RBDO process starts from running simulation at DOE sampling data points, generating surrogate models (response surface) and performing robust and reliability based design optimization on the surrogate models by using Monte Carlo simulation. This paper presents a RBDO framework in Excel enviroment. Within this framework, the engineer can perform DOE sampling, surrogate modeling, robustness assessment, Monte Carlo simulation, robust design and reliability-based optimization with any type of distribution.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

A Target Cascading Method Using Model Based Simulation in Early Stage of Vehicle Development

2019-01-0836

View Details

TECHNICAL PAPER

Human Modeling in the Product Lifecycle Management of the Boeing 787 Dreamliner™

2006-01-2315

View Details

JOURNAL ARTICLE

Robust Optimal Design for Enhancing Vehicle Handling Performance

2008-01-0600

View Details

X